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Paper Citation Record · LEDGER

Mitigating Easy Option Bias in Multiple-Choice Question Answering

As of 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2508.13428.

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

pith.paper-citation-record.v1
2508.13428 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:05:41.536329Z

measured 54 of 54 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T06:16:51.452335Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T06:24:19.586131Z

Reference resolution

53 of 53 outbound references displayed

  • verified exact10
  • verified fuzzy35
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bb1a9e85-3903-4806-a156-d65398b1088c · outbound

This paper cites Lawrence Zitnick, and Devi Parikh.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Lawrence Zitnick, and Devi Parikh

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:49.749043Z

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=2026-08-05T19:05:37.320164Z digest=sha256:b857aeae9d6ce92dfbf0b058b9bf1eae29ffdbd25a3d11dc4a8eec611d0e2ebb

Observation 92932d40-b09d-41e6-96ed-55f1ffc61e72 · outbound

This paper cites Vizwiz grand challenge: Answering visual questions from blind people.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Vizwiz grand challenge: Answering visual questions from blind people

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:49.566870Z

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=2026-08-05T19:05:37.370374Z digest=sha256:7daca7e13f9a6a708939fdd98448e786cf8c9bf7c8a5d50df6feefadc3292972

Observation b7ae6fe7-9a2b-42d3-b016-dfb7514cba99 · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:49.386661Z

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=2026-08-05T19:05:37.432990Z digest=sha256:6067837e54fdea51567f1333c93d553c97ea268b9ecb91c0bfe1bbc3ddb74b50

Observation 4f13a41c-816c-4cb1-8733-d1a277588258 · outbound

This paper cites Activitynet-qa: A dataset for understanding complex web videos via question answering.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Activitynet-qa: A dataset for understanding complex web videos via question answering

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:49.181068Z

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=2026-08-05T19:05:37.544492Z digest=sha256:0902ad4eaca3b91d5e029e8320e05e787302120b25b56af3c67e9861a2c30e01

Observation 4221906a-bb56-4b1b-b5b5-109d284baf2d · outbound

This paper cites Next-qa: Next phase of question-answering to explaining temporal actions.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Next-qa: Next phase of question-answering to explaining temporal actions

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:49.027029Z

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=2026-08-05T19:05:37.605908Z digest=sha256:b9e5b0778a8dd9985d553d5570f620e1ea97029eb346dc5a4472e0af460292ef

Observation 6cc86e26-8302-48d0-9ec6-1735d9364fb9 · outbound

This paper cites Star: A benchmark for situated reasoning in real-world videos.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Star: A benchmark for situated reasoning in real-world videos

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:48.891563Z

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=2026-08-05T19:05:37.689100Z digest=sha256:64458aa45da167d155e3b4c4f92863a8dfaec500cb36c0ea2741d27ff771b778

Observation 95fff0b1-8967-4343-813c-757b3912eb70 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:48.723559Z

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=2026-08-05T19:05:37.779463Z digest=sha256:f6b2ef9e3d224224db22b6d40e866992b78617af005e69449abe0630f5221122

Observation 83a61f34-f659-445b-a692-bd1d230537ed · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T19:05:37.863631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:05:37.863631Z digest=sha256:a98a726ad414ed8673d12ceb1f8989e81f35fa6864d8f375103e4cfacb5a0773

Observation dd303750-ff1f-450b-be33-c57787bf6d34 · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:48.553443Z

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=2026-08-05T19:05:37.949524Z digest=sha256:e6c7e631ee8d215f37c81771b9a177fcac50117ea19fe7463bc85386f16f2846

Observation 7de59b5d-30b8-4e3f-8c64-fc1f8c4be563 · outbound

This paper cites Ok-vqa: A visual question answering benchmark requiring external knowledge.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Ok-vqa: A visual question answering benchmark requiring external knowledge

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:48.394074Z

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=2026-08-05T19:05:38.036262Z digest=sha256:b5ccef49838ee13947742e4d9b0a4e7914e1aa5c7f86c85779d3ad801a25f419

Observation fbe8dff0-56c1-45db-af2b-2ac1727ed67c · outbound

This paper cites PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning.

Mitigating Easy Option Bias in Multiple-Choice Question Answering PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T19:05:38.102503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:05:38.102503Z digest=sha256:b08086af173e9d3c13bb1ec9dbc3d6a9e34fcde04641c9d2959afb2c905b5851

Observation ef2c4263-cbae-4f5f-b9ef-73c7a9f18b18 · outbound

This paper cites Neuro symbolic knowledge reasoning for procedural video question answering.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Neuro symbolic knowledge reasoning for procedural video question answering

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T19:05:38.181401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:05:38.181401Z digest=sha256:2ecfc37d903baada5ec3f2997c4d7b88f70ab70dda7ea3c74b8efcc245d36627

Observation 00134145-753c-440e-9746-8620360fa759 · outbound

This paper cites Causalchaos! dataset for comprehensive causal action question answering over longer causal chains grounded in dynamic visual scenes.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Causalchaos! dataset for comprehensive causal action question answering over longer causal chains grounded in dynamic visual scenes

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:48.167136Z

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=2026-08-05T19:05:38.257320Z digest=sha256:31c063135f62e5b81aae4f48a787528b94cf2f2d625acc2beec3b7610f155f3c

Observation a576aa58-cad8-4a4d-a0f4-21196699a0e5 · outbound

This paper cites Dissecting multimodality in V ideo QA transformer models by impairing modality fusion.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Dissecting multimodality in V ideo QA transformer models by impairing modality fusion

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:48.016062Z

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=2026-08-05T19:05:38.362048Z digest=sha256:4defdb242c163750d68fdb5aea3f747d9149e75a6ad160e9684c9777a2376363

Observation 7eae4c8f-eb55-4012-894d-7ba56cf05fc0 · outbound

This paper cites Shortcut learning in deep neural networks.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Shortcut learning in deep neural networks

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:47.826514Z

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=2026-08-05T19:05:38.434590Z digest=sha256:3959320b8ad98e6ac46d65980786a7ebbc1c1eb969bb01dcef66ab60f88d1f76

Observation 4a1e524b-34cf-4fe9-ad6f-06f03723fc37 · outbound

This paper cites Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:05:43.601036Z

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=2026-08-05T19:05:38.514186Z digest=sha256:c7c5a494cb79cb2efea5c7e6a10e8d9a6561f3f860f639350eb783736401cde5

Observation 19e7ca06-ecec-43f9-9e6d-898239a5b9e3 · outbound

This paper cites What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets.

Mitigating Easy Option Bias in Multiple-Choice Question Answering What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:05:43.461047Z

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=2026-08-05T19:05:38.571773Z digest=sha256:e799e2783161cbb365a9fc8c56275b93f48fa5d75863b3fed24247bae3b55b30

Observation 5b8a4cce-e373-428e-bf16-61df807bb782 · outbound

This paper cites Explicit bias discovery in visual question answering models.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Explicit bias discovery in visual question answering models

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:47.657672Z

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=2026-08-05T19:05:38.662432Z digest=sha256:b22a061e162047904801f6a9b592f8d9c673621ca9b6b5a1fa2bab054ba2dfd2

Observation fdd61c32-bf8d-4b87-8e5a-fd2863c248b6 · outbound

This paper cites Rubi: Reducing unimodal biases for visual question answering.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Rubi: Reducing unimodal biases for visual question answering

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:47.495509Z

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=2026-08-05T19:05:38.725471Z digest=sha256:91f04a4df50da21a51ad16fda1cb59d1f63a3d7648c8994b0ae08e7c93702bb4

Observation 632ae90e-5953-42d3-8c9d-a307f4588c09 · outbound

This paper cites Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:05:43.239900Z

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=2026-08-05T19:05:38.825898Z digest=sha256:5a4b671b51cee547c0d54574a334d0559e7270820dee0ff1ce0e18e21f927555

Observation 1d2b31b4-b6d9-4c54-a345-b2b73b09d13d · outbound

This paper cites Video Question Answering: Datasets, Algorithms and Challenges.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Video Question Answering: Datasets, Algorithms and Challenges

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:05:43.113848Z

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=2026-08-05T19:05:38.903265Z digest=sha256:bf0685eb8947c1627cb1dbd0b2fba983d4e0328739a4f7cc7838424fbe9f60cd

Observation 149d3152-36f7-43e4-80a4-c9d0b045bf0c · outbound

This paper cites Beyond question-based biases: Assessing multimodal shortcut learning in visual question answering.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Beyond question-based biases: Assessing multimodal shortcut learning in visual question answering

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:47.289637Z

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=2026-08-05T19:05:38.960300Z digest=sha256:7efc34ef31f4c2826befbe1710d5794a2610b1dd09d42945a5b8ffcc55d26bd6

Observation 86ff2d4a-7db9-4aa0-ae32-15d4bd858ab8 · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answering.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Making the v in vqa matter: Elevating the role of image understanding in visual question answering

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:47.138858Z

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=2026-08-05T19:05:39.008876Z digest=sha256:f6a70f78f6004d55352771820e0067ea3d8136fc06393e3695778b6f6ac33265

Observation 2d2dbe0d-2c73-4294-9dfd-baf2f4c15c05 · outbound

This paper cites Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:46.984674Z

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=2026-08-05T19:05:39.082257Z digest=sha256:a39d43e079566538af919a6c1ce4f2a1d4de641723eb9161a1e6925b91a8328f

Observation 323eb8c2-191b-4f5b-97de-69ec8507091a · outbound

This paper cites Don't just assume; look and answer: Overcoming priors for visual question answering.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Don't just assume; look and answer: Overcoming priors for visual question answering

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:46.799021Z

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=2026-08-05T19:05:39.140886Z digest=sha256:f5aa775ab540a719260dc47db142e31e7e90d2d7580810dc7981b453a9e56a6f

Observation b8e976aa-bdbf-4f67-93eb-79246905a1cb · outbound

This paper cites Language prior is not the only shortcut: A benchmark for shortcut learning in VQA.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Language prior is not the only shortcut: A benchmark for shortcut learning in VQA

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:46.592973Z

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=2026-08-05T19:05:39.216627Z digest=sha256:63112725c903a536b31f374516f29ce5c91f3a26b8d1bad1ffc273e0fb57b523

Observation 2849c30b-8e3c-4c2b-a661-8023e5c91b95 · outbound

This paper cites On the Role of Visual Grounding in VQA.

Mitigating Easy Option Bias in Multiple-Choice Question Answering On the Role of Visual Grounding in VQA

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:05:42.925134Z

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=2026-08-05T19:05:39.323206Z digest=sha256:87d3deb6f1b4e2facb216ad45cdd2d39f65a3e4a65becf78bd5b22fb22a64844

Observation 9232ea13-66dd-479f-850e-fbff51528a7b · outbound

This paper cites Are we on the right way for evaluating large vision-language models? In The Thirty-eighth Annual Conference on Neural Information Processing Systems , 2024.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Are we on the right way for evaluating large vision-language models? In The Thirty-eighth Annual Conference on Neural Information Processing Systems , 2024

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:46.425617Z

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=2026-08-05T19:05:39.416462Z digest=sha256:6855b2d203fae69f5e4b4f39c6944ae63632b3adc66ba1271d2a5e306133b0f1

Observation 616181a9-a3ff-4402-8d17-00319976bb17 · outbound

This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T19:05:39.500505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:05:39.500505Z digest=sha256:21c69dc53d456fddf88a234b05618f2d22805abd0c0fd64960c9462c49053166

Observation c5d56391-e39d-49e2-9e00-3086cc777340 · outbound

This paper cites Grok-1.5v: Multimodal model with visual understanding.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Grok-1.5v: Multimodal model with visual understanding

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:46.247137Z

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=2026-08-05T19:05:39.668712Z digest=sha256:65e518c274f6686abaf2ef8f30030727abd1dfc2bd6f40f0cbc1b9ca95fa37dc

Observation e950a067-aba8-4225-afec-d2e17f7b898e · outbound

This paper cites Seed-bench: Benchmarking multimodal large language models.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Seed-bench: Benchmarking multimodal large language models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:46.024321Z

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=2026-08-05T19:05:39.791539Z digest=sha256:de361b4b5c2668d4b94afb5513218ea875fe655e2412d5f17920778bcf9a71cb

Observation 6999b9b4-eaae-4fff-8d85-a245d3dd1be5 · outbound

This paper cites Qwen2.5-VL Technical Report.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Qwen2.5-VL Technical Report

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T19:05:39.878056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:05:39.878056Z digest=sha256:f49daf1dbed925c27cd625105092ede4dbe736be770423d709ec1dfb0ce71b76

Observation 5f09f42d-4fdb-4bb3-8ca8-1f59a086307b · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

Mitigating Easy Option Bias in Multiple-Choice Question Answering MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T19:05:39.968921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:05:39.968921Z digest=sha256:61eafb62929e4436de8270ee3d558235f995c755797d5381ca9b4a8ae9cb5985

Observation 5133c023-cb1f-4799-951d-4d9142a94b97 · outbound

This paper cites Vila: On pre-training for visual language models.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Vila: On pre-training for visual language models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:45.869261Z

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=2026-08-05T19:05:40.015543Z digest=sha256:189c11fcd7d5af0afeef8465ff66a6120f621d3bca26d41060588b7295f8e846

Observation fb4ece48-975b-4cea-ab9b-772dc38857cb · outbound

This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

Mitigating Easy Option Bias in Multiple-Choice Question Answering DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T19:05:40.114370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:05:40.114370Z digest=sha256:7f3676d6a96313b27e6ea17afd0c0c32a7d33ed968eb72848ba0a0c181c16816

Observation e94e1982-29a0-496e-b507-bf29927b87b7 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Learning transferable visual models from natural language supervision

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T19:05:40.276183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:05:40.276183Z digest=sha256:c6422e15345f0a8208943c41584b351543bdb3d86c8e2994e37deef12f3d742f

Observation c1ff86e2-78cc-4799-82db-d66c392941de · outbound

This paper cites Sigmoid loss for language image pre-training.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Sigmoid loss for language image pre-training

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:45.627879Z

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=2026-08-05T19:05:40.392728Z digest=sha256:fb858689e9971f9df16c3667761ccd044eb58e111fd266cf0eb6d26a19f5a8be

Observation 8f02fa58-0f20-4386-aa3b-e9925cef8c11 · outbound

This paper cites Disgem: Distractor generation for multiple choice questions with span masking.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Disgem: Distractor generation for multiple choice questions with span masking

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:45.421473Z

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=2026-08-05T19:05:40.472456Z digest=sha256:ede1993b7120054d1df19cfa92cde6b2d36bfd8863db1a9e4ad26d2c18d8f490

Observation 46c29549-d1a8-4eb5-ab98-bdfd83410c7b · outbound

This paper cites A BERT-based Distractor Generation Scheme with Multi-tasking and Negative Answer Training Strategies.

Mitigating Easy Option Bias in Multiple-Choice Question Answering A BERT-based Distractor Generation Scheme with Multi-tasking and Negative Answer Training Strategies

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:05:42.632717Z

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=2026-08-05T19:05:40.523314Z digest=sha256:49c5b1e99a0900e9a005dce94c17942920a1940e0ad0dee1230a844b3d8aa101

Observation 35d82d86-b541-452e-93fe-49501e858407 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:45.275800Z

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=2026-08-05T19:05:40.581554Z digest=sha256:47b3716d6a893f8ea3e2a524c938db0094d9c453f12a08d7a3099cf4502480d6

Observation 2cd935d8-bd8a-4d69-9866-356ccecba4cd · outbound

This paper cites Recovering generalization via pre-training-like knowledge distillation for out-of-distribution visual question answering.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Recovering generalization via pre-training-like knowledge distillation for out-of-distribution visual question answering

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:45.127634Z

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=2026-08-05T19:05:40.633887Z digest=sha256:699030bde92e7a1c472756ab611688eb6a9f90eb8d217531c229b5084a39a173

Observation a6f797dd-f116-4a4b-b423-c3aabae47e46 · outbound

This paper cites Bias mimicking: A simple sampling approach for bias mitigation.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Bias mimicking: A simple sampling approach for bias mitigation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:44.919853Z

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=2026-08-05T19:05:40.673784Z digest=sha256:13e4d8334e39080b4485e8d38823acd72b30e5abcf8b3dfd0b03fce0fb57774c

Observation 73764d1b-092b-481b-bcdb-9ec9808e9160 · outbound

This paper cites Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:05:42.353575Z

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=2026-08-05T19:05:40.798705Z digest=sha256:24b90e480fa9af85cd8e6bc5f715cf216fc7c8ddb49eee27ac129cf85ee9d6bf

Observation 515773b1-70fd-4ef9-a319-c04131614adc · outbound

This paper cites Human-adversarial visual question answering.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Human-adversarial visual question answering

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:44.788050Z

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=2026-08-05T19:05:40.836126Z digest=sha256:ea4a89ea765e06ee74f67a25ae5efcb579ef9992f7f2c5cde921fa6314cfb028

Observation 4d8b2ebf-a524-46e5-b59f-780396906562 · outbound

This paper cites Adversarial vqa: A new benchmark for evaluating the robustness of vqa models.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Adversarial vqa: A new benchmark for evaluating the robustness of vqa models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:44.654316Z

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=2026-08-05T19:05:40.868361Z digest=sha256:cee42d531e46e88f3f7a557cbee82067edef07e6a2038275818c524c3a7c3566

Observation 04be168d-84af-4851-8331-1c306ba4ad48 · outbound

This paper cites On evaluating adversarial robustness of large vision-language models.

Mitigating Easy Option Bias in Multiple-Choice Question Answering On evaluating adversarial robustness of large vision-language models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:44.462662Z

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=2026-08-05T19:05:40.943251Z digest=sha256:2b9eae22e2a86afa0adfecac06731655287b970dc9c88eecc29a9be1faeba5f8

Observation 66de99ed-70e7-4e5e-afaa-34645a765af9 · outbound

This paper cites Next-ood: Overcoming dual multiple-choice vqa biases.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Next-ood: Overcoming dual multiple-choice vqa biases

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:44.322282Z

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=2026-08-05T19:05:41.001021Z digest=sha256:9989f09bb213bf2a3cc9bd74370226a067bbefcd60c2d9291b4d6a2da45e1672

Observation b4d7aeef-f622-4b4f-90e1-e5b97fe8bf8a · outbound

This paper cites Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:05:42.135378Z

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=2026-08-05T19:05:41.068934Z digest=sha256:3ab44041f26810b9493f572810ece0237b23a05532e062eed7272fa68efe86ed

Observation 4e63c85b-2cbe-42bf-9eed-312d05479c51 · outbound

This paper cites Robust visual question answering: Datasets, methods, and future challenges.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Robust visual question answering: Datasets, methods, and future challenges

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:44.167340Z

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=2026-08-05T19:05:41.146694Z digest=sha256:57647137d955b02d0fc716b1958050d409c1f12b932dda0af93212611e66b1c9

Observation 65351b54-3e03-4406-9320-b91e0c2f0a0c · outbound

This paper cites A Closer Look at the Robustness of Vision-and-Language Pre-trained Models.

Mitigating Easy Option Bias in Multiple-Choice Question Answering A Closer Look at the Robustness of Vision-and-Language Pre-trained Models

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:05:41.963140Z

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=2026-08-05T19:05:41.289405Z digest=sha256:1f5f07bf1057038822f305765e4f89a1665283791c85a8b210fa82999a86e1cf

Observation 9553c0f6-d52b-474c-8819-4935dac3f6db · outbound

This paper cites Enhancing robust vqa via contrastive and self-supervised learning.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Enhancing robust vqa via contrastive and self-supervised learning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:43.992293Z

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=2026-08-05T19:05:41.381865Z digest=sha256:467f190d32a033cc32d37768f3bc23a219755c13e47219d740927c2d07c98062

Observation 3f52a3b8-7d00-40f5-b0bd-96a2d742e854 · outbound

This paper cites Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:05:41.726818Z

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=2026-08-05T19:05:41.461426Z digest=sha256:4187d322aca11d78e239fe64e67606b8f0fbe1d849fd1cdc5fb498c681c57eaf

Observation 58eada88-d97d-41ba-b1f4-d64b38053030 · outbound

This paper cites Break, perturb, build: Automatic perturbation of reasoning paths through question decomposition.

Mitigating Easy Option Bias in Multiple-Choice Question Answering Break, perturb, build: Automatic perturbation of reasoning paths through question decomposition

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:05:43.824364Z

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=2026-08-05T19:05:41.536329Z digest=sha256:c121389c59f807db68b37f56263f2cd8cda61abf49bc7301254e9ad64ddb710e

Pith citing papers

Observation 5d838940-73f2-49c8-87ed-0113bd0f5b32 · inbound

H-GRPO: Permutation-Invariant Reinforcement Learning for Grounded Visual Reasoning cites this paper.

H-GRPO: Permutation-Invariant Reinforcement Learning for Grounded Visual Reasoning Mitigating Easy Option Bias in Multiple-Choice Question Answering

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:24:19.587769Z

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=2026-06-30T06:16:51.452335Z digest=sha256:f5a7990bc6a130b6538702a39a3eaf8fac4f7116a49d8380c65f1556dff06da6