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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.320164Z digest=sha256:7220fa743f14747f64cea89510b8647a76b79b17048ac7c3fe9ab853263e0d51

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.370374Z digest=sha256:2d68d46e8f862d5844de26d4caecedcbedbbd7bcbd534760a7c6f2eaad037de0

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.432990Z digest=sha256:1ca966c4bf61b08cc196540638894795647e6dc1c7f04a61bedd6279e9e6ad6e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.544492Z digest=sha256:33be8b3005207263b103dae4c9c0af5ecbcdb8c62c598e1e628835f5754ce042

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.605908Z digest=sha256:906e938ce83ccf5698bde21305d7b8fc55772c1a69b2fcd28ab8986fe1e77fc8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.689100Z digest=sha256:af9c0151b90bc0b523cd9a87685bac761536baa7563aead4c3515bc5ccdb4b10

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.779463Z digest=sha256:25d2293f75c6d96cc4e27816f116860803554ca12e55c479cc8f3945c26e32bf

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:37.949524Z digest=sha256:3632dc89fb67150335fd19fc40e0dc8726a1972956080e64b7eaccc9887bde99

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.036262Z digest=sha256:c070d1d43ba8cf6177f52c6b56cea98553039f84689356874531f68e0eac665a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.257320Z digest=sha256:c47ae648433946111069f93c005a79fe9cbf13bff8082b624912a6a4b7f57443

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.362048Z digest=sha256:bb3a89f901e48350fa4d66136a9ab736af036ed1da2cdc9e3326b1552d300c3c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.434590Z digest=sha256:80421c1fdf0b1052c7d87579b835563d06f83adacbe36e733238ebdf417524ae

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.514186Z digest=sha256:d30cac94e4c1e76985f6b2fb97f4e7f89658a0abe9506ae064c1eaeb85c04608

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.571773Z digest=sha256:07155594aef3e30566b7eeb77c282203f02471d143d58ac1e40d54e5583ea579

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.662432Z digest=sha256:b045eb5f5c9561c7292c024776dc0059bc93b82eb899228550caac910db3b339

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.725471Z digest=sha256:019c7e1a1fd0ec9b37a25c19c920f366453c7e88ac566e6552234dc6762b0f4d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.825898Z digest=sha256:d108539bcf889ae42287eb8ffce58ec3e891bebeef69922a441c07f1bc7f323f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.903265Z digest=sha256:c05d8514e21e2f7b4e92cee3311fc304a743fca8decff385bd65a0327868797c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:38.960300Z digest=sha256:766fea9da2daa89db646912b434395bf9f8f71a7efdcb81b74c92b16d75e40dc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.008876Z digest=sha256:f7c54cfa54000f5aed7d97cf82403f85daa0efa5e002fbefe962b6cab065d230

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.082257Z digest=sha256:bcd6fd46108e913220dc527552a5201399a14f262b98ca890e2c4ce29714062c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.140886Z digest=sha256:70ae8b16acf06a9ed0bb0d67c6bb55714644e72db7764ad41e95c240a2846281

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.216627Z digest=sha256:02d37945af2c2411a58b01d2dd2cf6dbb86e16d38864dc64ec4d3e78cee84bd2

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.323206Z digest=sha256:9eb7cf41d53e9c2ea6b6dc43aa59cb5bb7a37c3a330d84f84fa6eb0fbd2d0f24

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.416462Z digest=sha256:0ec4466f6bc8c26c3e264e62e93d97f03e501de08a7a7fd4beb533b5910a2ce5

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.668712Z digest=sha256:fe2850d23600de9e46407c393842ebee406976561ae6323f946e2e75ba69beb9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:39.791539Z digest=sha256:82e4f2d580bdc1932a84237ea45e6c2d86aeca8c23fdfa92afe33af9945e528e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.015543Z digest=sha256:5ceec05611b8c4172fe1b491f2c3429ec2a464bee70ec778e92f50b54a82cf29

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.392728Z digest=sha256:d73822e5db73b1da7ba67f5dc78a2e9f90918f4f3d8f106c5308e1fe5eca9166

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.472456Z digest=sha256:7f97ab8dc50a8382525d9a20f36eeee76b3f0d8e80ead6aad709a3bc33645a9c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.523314Z digest=sha256:d8c16a40c54555831912b94fc3a90973606503d9b2c0b26a971f4126b9364690

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.581554Z digest=sha256:91f4c7d85cbb81fbbdd99ce5d39d676b7509e27f71c134ac26447e139c9a65fa

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.633887Z digest=sha256:f459ac8b6f03d828d3cd174e3f12fa47c82b2d9f18477bf219e6b6777744bf76

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.673784Z digest=sha256:d9060645b85959a6a212ca5542bf5edb23b13f84769207724f5a0c10c6ed47e6

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.798705Z digest=sha256:6418e548bbdab6d3c575678081fc1625ab8a0bf2c8934792b4e94d1dab8e95df

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.836126Z digest=sha256:c789e0a5b8b13b7a828a2680b3ccb265f4940009f332a8971f8f7a7d664dcbdf

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.868361Z digest=sha256:a81d131dbb42ae20150106d1b9d914d681db0b8e023f56203679bcb9dc0fc638

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:40.943251Z digest=sha256:4bcc8dca9712d2f0291d6c1865973402858cf6e1a9faa5357ed867495a6d16cc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:41.001021Z digest=sha256:77796b3c5ce9e2fd2b66e988cd131cd347ae6ddc09afd92477015581d983a12d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:41.068934Z digest=sha256:8c703b4e9a6c9348685670a5a35ba7091e3a39b5e813aab2470e61b4e5b6876b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:41.146694Z digest=sha256:a0240a0a2f273260649977207861a29d730f0ba1aa4a5888bcf8fe4563b91793

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:41.289405Z digest=sha256:068fcacd984a35e61fdfd5b94e3d6edd408b106c376bd7aa4647a01b3c898db1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:41.381865Z digest=sha256:ffe34ceb86fb39c54bed6bb02a56c3676e89b0e25293dbdb44b2a51087b010d7

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:41.461426Z digest=sha256:9965d6eedb18c16aab21142d094ccb83126f0933780879ccfc37f53cf2e09a8e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T19:05:41.536329Z digest=sha256:047b506bb356340cd6e8d98cc87e999a7b99659c444b898ca9f45b6eb3b39a03

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T06:16:51.452335Z digest=sha256:267ec9467a355e1c97e6095b475945ca398f50151af48d54aaac159b70050581