Pith. sign in

Paper Citation Record · LEDGER

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models

As of 8 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 2 inbound Pith citation observations for arXiv:2505.15475.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.15475 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:22:18.857952Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:47:17.090777Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-14T21:18:00.322424Z

Reference resolution

70 of 70 outbound references displayed

  • verified exact7
  • verified fuzzy1
  • unresolved62
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d09ea48-0f82-4baa-bc23-c22d1bf5620a · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:11.043560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:11.043560Z digest=sha256:b427cab667d73fbf08777997a2f9c63426bb2cab83494e815b46cbb4ef84d6af

Observation c9be52e4-3e6b-4205-bf6a-e98e2cd9b5ea · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:11.198193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:11.198193Z digest=sha256:45f8c07f0c82781419d6ee84e6977156357c94c9757d59c9734e43a7a1170219

Observation a9f4869c-c0bb-42c2-b2b1-b3fca5630b02 · outbound

This paper cites Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:22:20.429146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:11.327375Z digest=sha256:acfecf179079bb7afbc26b7c075a471b0ac2ff379c68e707311eecb01b3c6786

Observation 59d01774-a8e4-4627-90ac-6894c1f0be1a · outbound

This paper cites Program Synthesis with Large Language Models.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Program Synthesis with Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:11.438530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:11.438530Z digest=sha256:58c3abff9031a7572fab30a039203d790be789f797a356404e646d2d486462bb

Observation 1cf4fa51-3661-479f-95f5-0f69ddb90436 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:11.551238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:11.551238Z digest=sha256:7f2823815acc2a7458254aeb324b33bf7b331e5679d7d1b10b304460b5e0e7db

Observation 34145e7d-279f-4e16-990f-895c8aeea4eb · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:22:23.171576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:11.662593Z digest=sha256:9240498a1e1a52d307b5582b772e3e88c14e8e4e179db39f7922c544d614aa1f

Observation 4bf5c79e-4222-49cd-b287-90da5ef0c26c · outbound

This paper cites Bryson, and Arvind Narayanan.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Bryson, and Arvind Narayanan

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:11.817337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:11.817337Z digest=sha256:7691e3a78f02a707f1a4d0340569a997860776a7a17ad87c4e038fdc891dd001

Observation c845e76c-9cc9-44c1-9a94-a23781d04711 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:11.933460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:11.933460Z digest=sha256:67136f1835b4823d0b64021da2eaa77b033138bfe678f09bed7f82dce3f13159

Observation 5b16b72b-ade0-45fa-8121-0190ff5d8950 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:22:23.038177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:12.058913Z digest=sha256:c28a1f12c1b314b795068e9a3b17a0721a6d1a6863ba06a2ce962583ab1c6e4a

Observation a5be72e3-eecc-4610-b481-d589d64ad7e7 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Evaluating Large Language Models Trained on Code

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:12.232900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:12.232900Z digest=sha256:7325a3aec59780a0d4d1210996fb84f1fe1dca1470f3a3f1b364cdc88baf48ba

Observation 54ee6a7c-ed47-49ea-ad59-02bd6cbe5ab4 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:22:22.935846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:12.362205Z digest=sha256:7228f730f37c3f93049bcb7dc304502be87e7faf31ed048be6d6617ac10ced97

Observation 4f12f6a8-927f-4226-a02e-e496f525c3ef · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:12.466509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:12.466509Z digest=sha256:7feb17fa4addead1082357cf0ee63fbeb5b21233c118a5864404c7aa040a0664

Observation 09b5e833-f62f-4005-9f1f-a247eb77c22e · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Training Verifiers to Solve Math Word Problems

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:12.574894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:12.574894Z digest=sha256:8bacc3955589c0def4e5a50c0fd900fabb903889ace872ba1f481f07edf6f111

Observation 9740d193-2965-45e8-90e3-4972d1478fd1 · outbound

This paper cites Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:12.682721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:12.682721Z digest=sha256:b16026daed616d1c7f7df6bbe549ff20e554298bca0392d790f09630a5e763ac

Observation f1f36fa8-de6e-4b7d-b777-e7babfe4721f · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:22:22.823148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:12.853832Z digest=sha256:3638dafd50f7c9eb78b886b7fc68ddca1cdb02bb1fb6360364a3ccefaf9c5ffc

Observation 0853d23c-38b0-476a-89dd-2fdcb99cfa6f · outbound

This paper cites Disclosure and Mitigation of Gender Bias in LLMs.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Disclosure and Mitigation of Gender Bias in LLMs

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:12.962995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:12.962995Z digest=sha256:e2c5dcb231cbf3b3aa671e6e57c63ea39665766c114d8d39007fb197042aefad

Observation 77504aa1-838b-4893-8fdc-4a23e2cf8511 · outbound

This paper cites The Llama 3 Herd of Models.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models The Llama 3 Herd of Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:13.111974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:13.111974Z digest=sha256:78041b9281802100480a5b824b8e56e7e8fa8dcc4ce9f4daeded97dedd67a69e

Observation 4f25594d-5e5b-4b09-a12a-8fa6ced368d5 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:13.231218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:13.231218Z digest=sha256:b90e40e50cbedea732e9e767198f690442b3078cef6e1b82ba2ed0fb01923e6d

Observation d28b541a-1500-4bed-a9dc-7385c77189fb · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:13.386012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:13.386012Z digest=sha256:477bdc47dfe5357cf6a44fecbc6283bf29704592a076f01c9288d97c8b4af9b9

Observation fe307307-f30d-42d3-9e58-772593520ce4 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:22:22.726167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:13.565929Z digest=sha256:05a92b81c6f63877e35ab49ac347376cb7d28b261f16a66b3cae4438e64f7130

Observation 56e06c13-9589-4639-a90f-4e69d13a4c3e · outbound

This paper cites MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:22:20.175550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:13.724276Z digest=sha256:e37d77760a2168071a1f61584e055d9bdff678cf7bee3d742adefa5cac9bb6e3

Observation 9300e671-78ef-4213-8666-33081100b139 · outbound

This paper cites Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:13.839963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:13.839963Z digest=sha256:4d16b6622001fee68e5c307e70143f77b9b39aab1d88ab37911ec77bcbd15c20

Observation 043bf14e-de38-4eb6-917d-d87ae9551ab9 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 23

Resolution
verified exact
doi, observed 2026-08-07T15:22:19.142888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:13.964409Z digest=sha256:c7a17cc551f84483ac33ea791e2eebe683f6e4e08cb2b0e8443e1b6b850742de

Observation 6d655b59-b99f-4970-87f8-72e1033d4d97 · outbound

This paper cites Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:14.154524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:14.154524Z digest=sha256:5ec23e82eea3c463843505d6e80eabb7b5eadabbe683ada6d9ce5e11294768f4

Observation 2a705015-8a6d-439f-944d-e40074a1f542 · outbound

This paper cites Bias Testing and Mitigation in LLM-based Code Generation.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Bias Testing and Mitigation in LLM-based Code Generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:14.317312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:14.317312Z digest=sha256:1f0f55e45ddc52ce7b63c972066028a33ab3a4022e872f9b485a403ec9002d3d

Observation 85c418cc-a67e-4f90-8c63-d7367056a52f · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:22:22.573244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:14.432615Z digest=sha256:b38d9c08fceb2ae008b0a1767f6b6451aac7254d60cfc18ddbff149692dd35a8

Observation 1d779e29-07e7-48eb-a3cb-de376cd657f3 · outbound

This paper cites C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:14.549482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:14.549482Z digest=sha256:5668d185ae6e93072bf10a0bb46af6fb544dfef427148cbac597b45d5f421d2d

Observation 90d75469-19e8-4f7d-9de3-50fbba8a4425 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 28

Resolution
verified exact
doi, observed 2026-08-07T15:22:19.034245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:14.706937Z digest=sha256:f7ed263e2284164a0f335a9bac6c74bd461164911b57561dfe44522edc570ac5

Observation d2f25941-c9ad-497e-9cfb-ae67c92c6063 · outbound

This paper cites Challenges and Applications of Large Language Models.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Challenges and Applications of Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:14.837529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:14.837529Z digest=sha256:d40d2633a6abf5a04ee34cf59336b1f5c8adcf2674ff30ffab07a452886be722

Observation b8687568-72cc-47f8-a7ff-e668e8d16f9c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Adam: A Method for Stochastic Optimization

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:14.981668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:14.981668Z digest=sha256:a2908988c6a1080a5f9c067a6faef306f5a7ea6dbbe8075ec0a7599fc873763d

Observation 78cdc785-e4b5-469c-a06b-368370fc9190 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:22:22.401402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:15.090173Z digest=sha256:670a58500a8d0ccaa04db4f2eda3b220619f5a65579f9904c1b1894759845dd0

Observation b73ab64a-de91-4b7b-92e8-10e9699d09d8 · outbound

This paper cites Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:15.244477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:15.244477Z digest=sha256:0ec262edbf10c2cca397db3dc4201ae17a3e0005b6cf83ff26dd51151cfb06bf

Observation 6b6a9e18-0231-45f1-b6cb-74f42b7aaf54 · outbound

This paper cites Black, and Yulia Tsvetkov.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Black, and Yulia Tsvetkov

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:22:22.225924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:15.365926Z digest=sha256:4781c305fa41c47e0a6240ade0e515ea1144bc9876f40bf01fc3716e10906117

Observation 3bf373d3-2525-4bbb-9c36-c9b19d52cbc6 · outbound

This paper cites RACE: Large-scale ReAding Comprehension Dataset From Examinations.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models RACE: Large-scale ReAding Comprehension Dataset From Examinations

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:15.484897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:15.484897Z digest=sha256:b5356c627afd57bfbcc3680a3108ce0a954a8ce8ff12e826db25b7fdc4963eaa

Observation 083b1f03-9d19-47bd-b2d5-8ec8e2795fce · outbound

This paper cites Sustainable Modular Debiasing of Language Models.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Sustainable Modular Debiasing of Language Models

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:22:19.968524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:15.574015Z digest=sha256:24a6fbc634b73d8a251b17eb5147a9ded85303ace17906d2979a018e3e69ffd2

Observation b1f84dd2-47ef-4b22-8bdf-599160622700 · outbound

This paper cites CMMLU: Measuring massive multitask language understanding in Chinese.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models CMMLU: Measuring massive multitask language understanding in Chinese

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:15.691597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:15.691597Z digest=sha256:eb05fc93a31462eb1fe74c3fe151acaca1e1a30081ff19936f6b9ab376c6f1e8

Observation d82f4801-5635-4d86-9de5-ec53712e3d72 · outbound

This paper cites GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:15.777907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:15.777907Z digest=sha256:fb96781d36ddfde86f72f30dd9f1dc22befe69798e646ff1a933988cfdf127e3

Observation 35ec0b49-fafc-48bd-889e-3e628d32e188 · outbound

This paper cites Debiasing Algorithm through Model Adaptation.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Debiasing Algorithm through Model Adaptation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:15.857805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:15.857805Z digest=sha256:fd6623d8c02830ab02c62056411ddc7cc60a80a5246c03d09030c1cea5d485f7

Observation 14ff4402-ea87-4ee9-bb34-8b0c94f6e7e1 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:22:22.036345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:15.953589Z digest=sha256:76af90d206f214cb59ff6a1de3adf4ee86c1cd69135ad5a3e3911d4115f9f134

Observation 2c251a79-c597-4747-a1f5-f349617bad84 · outbound

This paper cites Does Gender Matter? Towards Fairness in Dialogue Systems.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Does Gender Matter? Towards Fairness in Dialogue Systems

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:16.187039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:16.187039Z digest=sha256:b45fac5c52738482ec7cda6c743369b2fa08365433ef9b7546713de3c8b0439e

Observation c23b58c2-0420-4cb2-a764-3b7fae84d577 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:22:21.819372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:16.322971Z digest=sha256:faf4a300f59f410a7c41845ca47f367853696fa617ac8526e4ba34f66188391c

Observation 826f74ee-e186-4a20-93f3-9e87537555fc · outbound

This paper cites InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:22:19.694275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:16.459963Z digest=sha256:513ce59879111fb4b21567488d949c9db4aba6264fe04b46fdc25e180fede698

Observation f4ed77df-dc2f-4bce-bd50-30e9d6382668 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:16.529897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:16.529897Z digest=sha256:8ab9be1508d30570be0aedab42869d23b71b6e680c901a5eb678df40fbdcea14

Observation e9ee5ce7-b6d1-43c6-a72e-25ad2f9fd3ad · outbound

This paper cites Mass-Editing Memory in a Transformer.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Mass-Editing Memory in a Transformer

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:16.690937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:16.690937Z digest=sha256:e8794ff76e26fef268a92bc94fa2e758c49dba965a91c1a68c7c349ea89337db

Observation 905d34fc-eddf-4308-8a44-4c6cb4c5f05a · outbound

This paper cites Fast Model Editing at Scale.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Fast Model Editing at Scale

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:16.772757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:16.772757Z digest=sha256:81e8742a35d604d8bbbbcee27853d2b9b8234a5f8ad4f439b4bff8bacd759fd7

Observation 8eaffbea-f8ff-444d-a874-fe08da849247 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:22:21.602919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:16.861661Z digest=sha256:64def287cf3e0870b455792af972898817863084030e6df25b5b10f38b5a6720

Observation c6b16058-9d01-483c-a312-398245cd8eae · outbound

This paper cites GPT-4 Technical Report.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models GPT-4 Technical Report

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:16.923532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:16.923532Z digest=sha256:e76b8f979e16ed395d147b0aec0ca2fe22bebf491e481238ae7cb0e98c4b885c

Observation c39f5ac5-1eef-424e-a00b-dd9af0d112f0 · outbound

This paper cites Training language models to follow instructions with human feedback.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Training language models to follow instructions with human feedback

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:17.028481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:17.028481Z digest=sha256:9cde44df6aea27b1062faf7333facf812394393fa52aafe7302f387413f9b16e

Observation 00e2c984-76de-4dba-ac76-4a76cc626fce · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:22:21.387236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:17.138202Z digest=sha256:caf98db764988ea6e6d83b70067130b0becd34ee24aef5be117931bee80ec21b

Observation 690971e6-30e4-471d-a098-e4cc3dec9ba5 · outbound

This paper cites Perturbation Augmentation for Fairer NLP.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Perturbation Augmentation for Fairer NLP

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:17.185471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:17.185471Z digest=sha256:eb09d51089296e640e6009ebdc5e6e3975842b7626933c3c04232c14480769f5

Observation 89b1151c-57a4-4356-b341-57ea3a7fbb16 · outbound

This paper cites Mitigating Gender Bias in Code Large Language Models via Model Editing.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Mitigating Gender Bias in Code Large Language Models via Model Editing

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:17.261826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:17.261826Z digest=sha256:f2fe95d745f69202bdb743df375444a7aa4f2925310bc71ccf007c966b65b2fb

Observation 01c751e1-cac2-4a8a-86e2-fac8b2f5bcc5 · outbound

This paper cites A Trip Towards Fairness: Bias and De-Biasing in Large Language Models.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models A Trip Towards Fairness: Bias and De-Biasing in Large Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:17.371066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:17.371066Z digest=sha256:23b38e838f40f01dd7c6b73afc186c86faf5430621c3eb13e89a9ccc57610d1e

Observation 5ee34edf-d6f8-4155-ae8f-124b65961702 · outbound

This paper cites Evaluating LLMs for Gender Disparities in Notable Persons.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Evaluating LLMs for Gender Disparities in Notable Persons

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:17.486303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:17.486303Z digest=sha256:1418fcf83267bdb3434004c7770f612e3035784fb78d395a25793a3251020a63

Observation 930fafe4-59f6-4541-a7c1-2408d78c4610 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:22:21.196273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:17.579666Z digest=sha256:681d90c0f1c33d4138d686817617bad244bea70984fc1790b917a73b076362c8

Observation 83b9dabb-6f32-43af-9f53-7c99f49e5c98 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:17.640432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:17.640432Z digest=sha256:3e26f06d4603eddfcd484e285b25215f04528b8ba1e546e6af643c5eaddfe724

Observation 483c7f8c-4440-4762-8e9e-acd7a0d7e798 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:17.754763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:17.754763Z digest=sha256:5d6ba113bf08f880242e22b57e3aab3814512fd20e39bf5bcfc7eb686f49f475

Observation ee2220b4-87a2-49a5-81d8-e76456115e72 · outbound

This paper cites Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:17.844718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:17.844718Z digest=sha256:a8928fc0fb7069b1e2a933ad6a8e5de6c4d3cc4407c7993d018d8d5ec30e4298

Observation 95866995-be4f-4330-87e6-ee30bcad4dae · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:17.971059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:17.971059Z digest=sha256:8e9181d55df9db38df8dd481830330b29ec33746601b024d5de05723e67f622c

Observation d0a1c54a-473e-43bb-b6f5-8b5bcc5d2258 · outbound

This paper cites EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:18.039195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:18.039195Z digest=sha256:d3cd66032d0e0aa30d94d0aba397747335bc7e9bae48ed0e08a4b21aa0032834

Observation a7881ff4-b33b-4c3a-9880-47889e6f0bc3 · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:22:21.003855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:18.095577Z digest=sha256:5e848bd09834d5aae2f2d8c5ae5e0644b0d78ae224e685d859bb774d43709d77

Observation c8097d15-31c8-4be9-a98f-3027f70b1d1e · outbound

This paper cites Linguistic Collapse: Neural Collapse in (Large) Language Models.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Linguistic Collapse: Neural Collapse in (Large) Language Models

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:18.160196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:18.160196Z digest=sha256:6250793124ef2063b5e31b6bf30a49bf27434e169e2f2471830a9a10613f93c4

Observation 333101f4-d724-4bae-8b1a-d4ae9db4d6f1 · outbound

This paper cites Understanding the Collapse of LLMs in Model Editing.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Understanding the Collapse of LLMs in Model Editing

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:22:19.318605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:18.243138Z digest=sha256:3309532e3bbe1579751cdc52619875fcc263c3300968077a2428b8c72c81bb4d

Observation de3d2f05-56de-4786-b75c-6af2967fb496 · outbound

This paper cites Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through Gender-Neutral Name Predictions.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through Gender-Neutral Name Predictions

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:18.344953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:18.344953Z digest=sha256:4d289f868b02b59d5589c068b6f6cf1652605efba3c3090c7baf90eb08166f48

Observation c8945e85-c0e6-4ffa-927b-51d059e3f48e · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:22:20.883657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:18.385796Z digest=sha256:baecf08649d6ad269ea725b80f145aa3982d362c706b1901336fbca2d47ae5aa

Observation 72cc4c6f-092e-45bd-acbf-376c7b34f0b3 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:18.431205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:18.431205Z digest=sha256:69ebb7f47f89c8aedcb261cadfff2445c098230052946de41a8f1c54cec79cbe

Observation a595aac3-1939-460d-9684-1375ede3ce63 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:18.507280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:18.507280Z digest=sha256:acacb6e706ee14922cd5d069768ff47a8351b373c8d59ff5431d655816c251c4

Observation 20f6ffe7-52e4-40da-a493-c19e2eea3b3d · outbound

This paper cites an unresolved cited work.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:22:20.674746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:22:18.569642Z digest=sha256:fd37b7db2ebcbbd27ad5012716b8dae12b2a26db169fe130f79c11996ff1617d

Observation 3538814f-81fc-447f-b9f8-c5ed16751932 · outbound

This paper cites Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:18.656484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:18.656484Z digest=sha256:52e173d51d7bbab67ee21c68b4886e56f0b20f356988c0b62e6ae5275a155e6b

Observation 2522b23e-7b43-43c5-9531-fd47bd417ab0 · outbound

This paper cites URL: " 'urlintro :=.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models URL: " 'urlintro :=

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:18.767443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:18.767443Z digest=sha256:bb702c79c7f11b58fba655cd1d1851208ec314a4640584c4230bf14e200190a4

Observation 9fcf2ee5-644b-4230-a61c-cf9cdd6b637f · outbound

This paper cites write newline.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models write newline

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:18.857952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:18.857952Z digest=sha256:d436648a97d05d40a153f4de33859c06fdc6cd61586b742b5c5ef47f6b2a2c5e

Pith citing papers

Observation 55150ac7-06d8-4088-96f8-c7ea5394e25a · inbound

Knowing Bias, Doing Better: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement cites this paper.

Knowing Bias, Doing Better: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models

Reference 165

Resolution
unresolved
no resolver link, observed 2026-08-03T06:47:17.090777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:47:17.090777Z digest=sha256:dd4503fd84606b9193bb29c90dc8aa1b7ef1d8a9c3f836ca48bc94c2262d85ce

Observation 8e3f2066-620f-41de-a44d-ceb476d33973 · inbound

Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion Models cites this paper.

Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion Models LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:18:00.324579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T21:09:28.032659Z digest=sha256:ad85adafa7395c3ac4da836d5737d3aeef0ff1e9c2ee3039aa0e043f8f16d286