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Paper Citation Record · LEDGER

Mitigating Easy Option Bias in Multiple-Choice Question Answering

As of 10 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.320164Z digest=sha256:4f31822cd9a5c39441ee69b6945bf8323b0077403505e7f6bdc174970c5c72c5

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.370374Z digest=sha256:e39ec2e57c764547b84878bf4d5e48b04de39bef76070583ab49f0b980127a60

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.432990Z digest=sha256:88c6e697d7486e6c1a90fa1b086b75fcfad2ad3efe00e8034b33d0bed8f97887

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.544492Z digest=sha256:9968a5f259d0eca015ac3c1caf9d3af5ff6b0adaba86fb811271d9f7db14b0e2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.605908Z digest=sha256:15b033390592a7c246bb8588d5a20fc335f85a52d19b8a106b53af98f3b90a7f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.689100Z digest=sha256:cca9fa050f6b568efca8fd0538c21a4d9442dbf73d2222b4c22474916200ef64

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.779463Z digest=sha256:ef66497880a0ae4f71f26116ea011e1dffe4e734c87218da3984ffdb7e8956bf

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=sha256:1556bc58b35ee0031fa1ff0e8947432d4265022b278a85d4bc1177d55a013031

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.949524Z digest=sha256:d6f567fc0ef53062cb42cb58980a155b21591a5826233f13b19983bea2a36e60

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.036262Z digest=sha256:b58ee682217537083efd1eab9a90458c25a96e8a9cf8a7abe1faee74502acbf6

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=sha256:047e2e04b24d22e59de215f9e8ff37117ae53e12a6e892f187f639cdb93cddb0

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=sha256:8b4e4e95dc31176d09e8193944ae57abfabde8b76de028684e7a31201a6057ea

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.257320Z digest=sha256:d18e019b15250f3409c3447ea8117d4f3886d44569de6eb8f244656b421025de

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.362048Z digest=sha256:d1cc29628c411fedcb01f65d922be4dd902552dff309693502f2fb1b390f5d01

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.434590Z digest=sha256:bb01711aba8d2159a3f4db255057675697d2ebfd83511ffb228b9abc67d09782

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.514186Z digest=sha256:29526cfd895b5d7e55e859984e765a19a63d6eebc5e8688a93ceceb2ed3743b2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.571773Z digest=sha256:0fc3c8f54db6c00b37537c2d707ac181a73dbe346422ce15fdc1dd656b7e1457

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.662432Z digest=sha256:cfdca0c537ee24a51005afdbaa29ee89c7c831b397852461f67855f32af0e2cc

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.725471Z digest=sha256:44dd39766a6cba01c5562bcdd62f82bc2642b13c3b4d103180c168a9ca38e5ae

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.825898Z digest=sha256:8e68c0cd3b89e55922027cffcada6cff194e2d35b8b8478f817022c929bc91c9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.903265Z digest=sha256:567dd7b1c6f95ca067993af94ab57a5e7e25e00c3990ab5a50c0a97a5ad63808

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.960300Z digest=sha256:769cf9b6b37cd8066a1c43d3b05359813ae270df062037b5a26f18d82c81a19c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.008876Z digest=sha256:131f75267a0feb343c84ba8c88d26fd1247a51336540db437b69b91d376e0929

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.082257Z digest=sha256:073c2eed0667adb7ebd565ee3b0725d840706214e383cbdd44519bea797a570c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.140886Z digest=sha256:6e89aba972c2c986690ba7f6c9ecd3519ba9ef45ca430d0ba3d169b27320ec1c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.216627Z digest=sha256:62ef6c8e7266dd41fbafff1dab39841fcd3eba38141a0eb52a5ede8ec7f1b0bf

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.323206Z digest=sha256:27158bb33020706feeae5b29e6ed553d3842cf5fdfcf6200a9459b52176e7a27

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.416462Z digest=sha256:96a070fb91c7cdd9708c477c4541791bf7b640307feb3422384a16f7d1852202

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=sha256:466a9bec959aae0ae99f44c19a66baa78df40bf7dec1e1508d4b56eaf9e345d5

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.668712Z digest=sha256:66565248036aeac24d915e0568dc012c0da2fc71bb134172e563070efbca5618

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.791539Z digest=sha256:db8542909ea4b96f2bab851e3adeec6451c605bf6350ed2efffdfcc1cf55d46b

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=sha256:2e578bf3625ed62a8d1e91e63fdcdd56a8d38e6799ba4043b24632c82f9a16ad

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=sha256:0f881665799737843a6d3f9a2115847c5db5ef80b429e0b24ecca0abe7d0c27e

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.015543Z digest=sha256:7a5af4d0bde70ee7cae5f95bba275ddd9422d413843711d8438fc5f64427ac82

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:d2b9e80d7de774b3d8987cb47beab71a18e9cfb0df6a04d83ef899c67eefdcee

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:c96292ae99d6b7b4c1d221337f38c667ae99caeedabf31b37e7a7991ed890715

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.392728Z digest=sha256:539f0525a274aa7180a39e43e98c14e485b95e131c02d6da1feebf6103456b26

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.472456Z digest=sha256:4c0154703140ad259d7365b85004cab3e510d921a97826e46e86d89074b0a749

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.523314Z digest=sha256:e671c5199547a96b65589246e5e2ea2b7603c31ebdc40d8fec53450b51e0bd42

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.581554Z digest=sha256:61f1e8fa662f85185497fc368871546d0727f72d7c9950c1143cb5b62ce03f4f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.633887Z digest=sha256:56d122633045df4ddc76780eb177eca3c2b888fdcf8844cf3959ec6878380bbd

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.673784Z digest=sha256:e134e6448774061e4342b18444a867cf5baeda43f8aa2ec30d6f5788371b09ca

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.798705Z digest=sha256:dde8cd331d1a6ec48018e3ebd2919a3b80581e79b4f1dbcfd81b480992e2f1ac

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.836126Z digest=sha256:d5201f055c8b0a737dab15a8e9d089dcc4a61d2fa657517090bd198243b0336d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.868361Z digest=sha256:03826ae7510af86ac89f10ada793c0f83760dfc7fb4d7d6f310d9bbb69863585

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.943251Z digest=sha256:fc5efd67e2cd4691d82def45b636b93f61a322bb89d24fa0351f23293272cc18

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:41.001021Z digest=sha256:476cb6565a86f6e8621544719146e9f003321776fdcf1ff38ed1894034bea884

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:41.068934Z digest=sha256:49cbfc866d96b8aca94d10fb1279c8cf886699ad67402c0cf646ac769579d0d3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:41.146694Z digest=sha256:776c7f7192dbe09ef67a288d3bb66a33f9f5e5bb789239fc344e6117fca67106

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:41.289405Z digest=sha256:cecbba7b0d8a611572db6fcc17c4753276f562115401b64eccb85a1c0f702e01

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:41.381865Z digest=sha256:5d3be20ff28e8a362164e8fe2558f6fe4d7ff1803a9f357e4486ffb9b1461f08

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:41.461426Z digest=sha256:f950e0401b4054fca0942cee3a68599882014a0392e8f726416b2987a255eaba

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:05:41.536329Z digest=sha256:3f274cbd3cbc8da9aa5aa490bb8c1cca79395b4324c8e283f84767b61167eb56

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T06:16:51.452335Z digest=sha256:f860240bacf961d7891114cf469379c7c133337ba8d01743a4e48d3cb2cd9356