Admitting Ignorance Helps the Video Question Answering Models to Answer | Paper Citation Record

Observation 9532b078-bd9d-472e-8895-c0dcacd07458 · outbound

This paper cites Bilinear attention networks,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Bilinear attention networks,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:30.083794Z

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Observation 78a8b23e-b5f6-4ecc-8f34-c9b7493bd253 · outbound

This paper cites Attend what you need: Motion-appearance synergistic networks for video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Attend what you need: Motion-appearance synergistic networks for video question answering,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:30.072790Z

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Observation 58cab2bd-070b-4bfe-807c-6733d6ab7df8 · outbound

This paper cites Video as conditional graph hierarchy for multi-granular question answering.

Admitting Ignorance Helps the Video Question Answering Models to Answer Video as conditional graph hierarchy for multi-granular question answering

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:30.061788Z

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Observation 852a8b05-c6fc-4fb9-8212-9d3c23425d1b · outbound

This paper cites Merlot: Multimodal neural script knowledge models,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Merlot: Multimodal neural script knowledge models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:30.052125Z

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Observation 21caaec5-68af-4a53-bed9-af6c1a4b862a · outbound

This paper cites VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling.

Admitting Ignorance Helps the Video Question Answering Models to Answer VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:28.832209Z

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Observation 803b90c5-5350-4593-ad3e-b099f4f80ad1 · outbound

This paper cites X$^2$-VLM: All-In-One Pre-trained Model For Vision-Language Tasks.

Admitting Ignorance Helps the Video Question Answering Models to Answer X$^2$-VLM: All-In-One Pre-trained Model For Vision-Language Tasks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:28.836606Z

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Observation a1bf4bc0-51da-4e06-92df-b148982abc98 · outbound

This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.

Admitting Ignorance Helps the Video Question Answering Models to Answer InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:28.840944Z

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Observation 9b75616c-ba59-4a81-b431-8e48192bd12a · outbound

This paper cites All in one: Exploring unified video-language pre-training,.

Admitting Ignorance Helps the Video Question Answering Models to Answer All in one: Exploring unified video-language pre-training,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:30.041510Z

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Observation 1eb77c64-db60-464f-bb67-2227cdef559f · outbound

This paper cites Invariant grounding for video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Invariant grounding for video question answering,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:30.029231Z

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Observation bd64f643-ca09-41ba-a6c7-a19c30af739e · outbound

This paper cites Equivariant and invariant grounding for video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Equivariant and invariant grounding for video question answering,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:30.016176Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31bda1b2-d1e2-41f1-8610-04c2a0ef86fb · outbound

This paper cites Transformer-empowered invariant grounding for video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Transformer-empowered invariant grounding for video question answering,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:30.000451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dcbdd53f-f305-4ab8-926c-31a3dd24f80a · outbound

This paper cites Discovering spatio- temporal rationales for video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Discovering spatio- temporal rationales for video question answering,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.988421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4819a8d9-4faa-4d3d-9909-24a637d781d7 · outbound

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

Admitting Ignorance Helps the Video Question Answering Models to Answer Adversarial vqa: A new benchmark for evaluating the robustness of vqa models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.976532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 51a192e9-c3b7-48e5-acff-21624f1775ce · outbound

This paper cites Discovering the real association: Multimodal causal reasoning in video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Discovering the real association: Multimodal causal reasoning in video question answering,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.964326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a49e0de7-7419-402d-a33b-e09219841169 · outbound

This paper cites Coun- terfactual vqa: A cause-effect look at language bias,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Coun- terfactual vqa: A cause-effect look at language bias,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.951666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e8864a2e-5808-40c6-b518-77ab0c08d48f · outbound

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

Admitting Ignorance Helps the Video Question Answering Models to Answer Beyond question- based biases: Assessing multimodal shortcut learning in visual question answering,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.938674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d575a6f5-4b9f-4d92-b8cc-39f2a7f3baa7 · outbound

This paper cites Roses are red, violets are blue... but should vqa expect them to?.

Admitting Ignorance Helps the Video Question Answering Models to Answer Roses are red, violets are blue... but should vqa expect them to?

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.926218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b2019ef5-2c84-4f92-a84e-c247a7e3a4d3 · outbound

This paper cites Human-adversarial visual question answer- ing,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Human-adversarial visual question answer- ing,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.912538Z

Source-reported events for the cited work

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Observation 4e026506-d2ad-4521-ae3e-6cad9a0e5ec7 · outbound

This paper cites A survey on curriculum learning,.

Admitting Ignorance Helps the Video Question Answering Models to Answer A survey on curriculum learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.898588Z

Source-reported events for the cited work

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Observation 3e8ded24-e28a-4311-8830-2aeb40d69a6b · outbound

This paper cites Curriculum learning: A survey,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Curriculum learning: A survey,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:28.889818Z

Source-reported events for the cited work

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Observation d0b6f7db-8ade-4e59-ac02-3bccd89b6f9b · outbound

This paper cites Tgif-qa: Toward spatio- temporal reasoning in visual question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Tgif-qa: Toward spatio- temporal reasoning in visual question answering,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.878483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bb3893a4-465a-41e6-85a1-5026b5dd85fa · outbound

This paper cites Revisiting the.

Admitting Ignorance Helps the Video Question Answering Models to Answer Revisiting the

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.867380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b2da382d-c2bd-44d2-9171-27d8ee531a5f · outbound

This paper cites Answering from sure to uncertain: Uncertainty-aware curriculum learning for video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Answering from sure to uncertain: Uncertainty-aware curriculum learning for video question answering,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:28.901073Z

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Unavailable: canonical work link unavailable.

Observation e2a152b2-a62d-42ff-86cd-e1328346f135 · outbound

This paper cites Question-guided erasing-based spatiotemporal attention learning for video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Question-guided erasing-based spatiotemporal attention learning for video question answering,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.857861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 06093558-5918-49fd-9669-f538d0ec5d5f · outbound

This paper cites Memory augmented deep recurrent neural network for video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Memory augmented deep recurrent neural network for video question answering,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.846939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 431db470-deaf-48f4-a4fe-75b4f3d4abc5 · outbound

This paper cites Knowledge-routed visual question reasoning: Challenges for deep representation embedding,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Knowledge-routed visual question reasoning: Challenges for deep representation embedding,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.835410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b3be0ff1-18e9-4203-8bcf-5a412b7c57d0 · outbound

This paper cites Multitask learning for visual question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Multitask learning for visual question answering,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.823215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b830ec11-203f-4216-b2f6-8cabae86c334 · outbound

This paper cites Bilinear graph networks for visual ques- tion answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Bilinear graph networks for visual ques- tion answering,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.811946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a36e2dd3-5034-466a-8c1f-e7fd57e0df58 · outbound

This paper cites Bilateral cross-modality graph matching attention for feature fusion in visual question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Bilateral cross-modality graph matching attention for feature fusion in visual question answering,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.800548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 45178bf5-0eb8-414d-9906-9416d950a396 · outbound

This paper cites Bridging the cross- modality semantic gap in visual question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Bridging the cross- modality semantic gap in visual question answering,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.787587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc25a2d1-e088-44e7-9b65-4fd7ae5029a7 · outbound

This paper cites Latent attention network with position perception for visual question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Latent attention network with position perception for visual question answering,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.776048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aac3d65f-0e70-4238-9cc7-daabc6288571 · outbound

This paper cites Webly supervised knowledge-embedded model for visual reasoning,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Webly supervised knowledge-embedded model for visual reasoning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.764674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c7110ae4-0f09-434c-9d73-442c8d76815b · outbound

This paper cites Uncovering the temporal context for video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Uncovering the temporal context for video question answering,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.753036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8d3ecdae-de28-48e3-8d52-27ad057b8c44 · outbound

This paper cites Video question answering via gradually refined attention over appearance and motion,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Video question answering via gradually refined attention over appearance and motion,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.740341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 863e8001-2d72-42b1-ad53-1526236563e3 · outbound

This paper cites Divide and conquer: Question-guided spatio-temporal contextual attention for video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Divide and conquer: Question-guided spatio-temporal contextual attention for video question answering,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.728219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8dc85746-341a-442d-9ad1-b34a4b8fd5e1 · outbound

This paper cites Video question answering with spatio-temporal reasoning,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Video question answering with spatio-temporal reasoning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.716195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 69e3270d-7c37-4141-9d1a-424baa1332d6 · outbound

This paper cites Dualvgr: A dual-visual graph reasoning unit for video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Dualvgr: A dual-visual graph reasoning unit for video question answering,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.704012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3cd45be9-6a74-4205-af87-22150a4fa54e · outbound

This paper cites Bridge to answer: Structure-aware graph interaction network for video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Bridge to answer: Structure-aware graph interaction network for video question answering,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.691371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bd0de087-f9af-47aa-a621-98dddf70774b · outbound

This paper cites Motion-appearance co-memory networks for video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Motion-appearance co-memory networks for video question answering,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.679267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c1149717-3af7-4511-80d4-ea9312ec6448 · outbound

This paper cites Heterogeneous memory enhanced multimodal attention model for video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Heterogeneous memory enhanced multimodal attention model for video question answering,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.668248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0fc7a196-c301-474e-a175-c42904a5edbf · outbound

This paper cites Hierarchical conditional relation networks for video question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Hierarchical conditional relation networks for video question answering,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.656871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e3cfb448-3188-4f39-a469-c80dc57ae182 · outbound

This paper cites Verbs in action: Improving verb understanding in video-language models,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Verbs in action: Improving verb understanding in video-language models,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.645191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 42900346-0920-434b-ad7a-25087c9f9ff9 · outbound

This paper cites When and why vision-language models behave like bags-of-words, and what to do about it?.

Admitting Ignorance Helps the Video Question Answering Models to Answer When and why vision-language models behave like bags-of-words, and what to do about it?

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.633656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aebf50f1-0815-48f5-981b-127bb796945f · outbound

This paper cites Teaching structured vision & language concepts to vision & language models,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Teaching structured vision & language concepts to vision & language models,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:28.978593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a7f542e-94e2-4463-b39b-ce6ffd6f613d · outbound

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

Admitting Ignorance Helps the Video Question Answering Models to Answer Rubi: Reducing unimodal biases for visual question answering,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.614069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0390a37c-da9f-41b4-b8a0-51f726c37a2b · outbound

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

Admitting Ignorance Helps the Video Question Answering Models to Answer Don’t just assume; look and answer: Overcoming priors for visual question answering,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.600848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0ea48d93-d1da-411f-9aa2-eb29c500de50 · outbound

This paper cites Overcoming language priors in visual question answering with adversarial regularization,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Overcoming language priors in visual question answering with adversarial regularization,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.588740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2297cfd9-6abf-4134-9808-5ac885c7dc23 · outbound

This paper cites Reliable visual question answering: Abstain rather than answer incorrectly,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Reliable visual question answering: Abstain rather than answer incorrectly,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.577485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 889e1f67-fff4-4e59-aada-db3fe4670164 · outbound

This paper cites Addressing failure prediction by learning model confidence,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Addressing failure prediction by learning model confidence,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:28.996874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b57a7cf-c70b-4472-909e-31cc9f10b7f6 · outbound

This paper cites Combating Label Noise in Deep Learning Using Abstention.

Admitting Ignorance Helps the Video Question Answering Models to Answer Combating Label Noise in Deep Learning Using Abstention

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:22:29.182883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ddf71bdb-f7d6-42df-ae1f-a2794b0077d5 · outbound

This paper cites The art of abstention: Selective prediction and error regularization for natural language processing,.

Admitting Ignorance Helps the Video Question Answering Models to Answer The art of abstention: Selective prediction and error regularization for natural language processing,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.559720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a613141-c7e7-461b-b55f-889d64a619b3 · outbound

This paper cites On the foundations of noise-free selective classifi- cation.

Admitting Ignorance Helps the Video Question Answering Models to Answer On the foundations of noise-free selective classifi- cation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.547982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1379861a-8ac1-4286-ba1b-c9a08c13a3e8 · outbound

This paper cites Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings.

Admitting Ignorance Helps the Video Question Answering Models to Answer Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:29.011509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3341b454-363a-46cb-ab49-62b3041d7861 · outbound

This paper cites Selectivenet: A deep neural network with an integrated reject option,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Selectivenet: A deep neural network with an integrated reject option,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.535581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e151b0e8-61a6-4d4a-87b5-20442f4a437d · outbound

This paper cites Selective question answering under domain shift,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Selective question answering under domain shift,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.523427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1325e5ac-d15d-4ada-9316-a8365ef8b309 · outbound

This paper cites Attention is all you need,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Attention is all you need,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:29.022646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f449ef2-86c9-4a81-9fda-b7d70ecf11fb · outbound

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

Admitting Ignorance Helps the Video Question Answering Models to Answer Learning transferable visual models from natural language supervision,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:29.026236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f469043-f51d-4d8e-8e30-0a21a2fb13e7 · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Quo vadis, action recognition? a new model and the kinetics dataset,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.496535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 99d0fe4a-e38b-4ac0-8e79-f35b8e9f8117 · outbound

This paper cites Howto100m: Learning a text-video embedding by watching hundred million narrated video clips,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Howto100m: Learning a text-video embedding by watching hundred million narrated video clips,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.484728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 094aa94b-d13c-4553-bd4a-22f3d69d4f8f · outbound

This paper cites Ava: A video dataset of spatio-temporally localized atomic visual actions,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Ava: A video dataset of spatio-temporally localized atomic visual actions,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.473291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 999faf4b-2dce-45c4-9888-1b0b1c780e61 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Frozen in time: A joint video and image encoder for end-to-end retrieval,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.461656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation edf1e6c2-5324-4e8d-a7e5-b820685d25e4 · outbound

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

Admitting Ignorance Helps the Video Question Answering Models to Answer Next-qa: Next phase of question-answering to explaining temporal actions,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.450128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 21650f3e-d479-4a7f-9edc-e1f891b68af4 · outbound

This paper cites Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering.

Admitting Ignorance Helps the Video Question Answering Models to Answer Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:29.048239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad5ab970-1c3d-4c30-b94a-cfb9e4e2cd4f · outbound

This paper cites Less is more: Clipbert for video-and-language learning via sparse sampling,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Less is more: Clipbert for video-and-language learning via sparse sampling,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.438477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation adbb3e57-2533-42ff-9de2-c5893e946466 · outbound

This paper cites Causal inference in natural language processing: Estimation, prediction, interpretation and beyond,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Causal inference in natural language processing: Estimation, prediction, interpretation and beyond,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:29.055862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 758ebd2b-997d-491a-9a43-aa119f008327 · outbound

This paper cites Docogen: Domain counterfactual generation for low resource domain adaptation,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Docogen: Domain counterfactual generation for low resource domain adaptation,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.419757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4967e378-4854-41ca-bcab-a0c2b723200c · outbound

This paper cites Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models.

Admitting Ignorance Helps the Video Question Answering Models to Answer Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:29.063214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c9abe9d-38ec-438e-a2fc-2ae6b0974985 · outbound

This paper cites Language models are unsupervised multitask learners,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Language models are unsupervised multitask learners,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:29.067137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7017573-60f0-4102-aeb3-ff0fc7b0940b · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Admitting Ignorance Helps the Video Question Answering Models to Answer Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:29.070599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c5a5043-d24b-441b-9a3e-7133004cc6ac · outbound

This paper cites Stacked attention networks for image question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Stacked attention networks for image question answering,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:29.074601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f693dfea-2e83-4e8b-9452-b39d8a32a65d · outbound

This paper cites Multimodal compact bilinear pooling for visual question answering and visual grounding,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Multimodal compact bilinear pooling for visual question answering and visual grounding,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.392912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2d1af64-df40-4420-9a50-aa37acd053a1 · outbound

This paper cites Vqa: Visual question answering,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Vqa: Visual question answering,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:29.081042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eceb8198-17c8-4dd0-993a-e8d068f6e578 · outbound

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

Admitting Ignorance Helps the Video Question Answering Models to Answer Making the v in vqa matter: Elevating the role of image understanding in visual question answering,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:29.083891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2abc7e2f-be50-408b-a452-3a954810dc27 · outbound

This paper cites Mvbench: A comprehensive multi-modal video understanding benchmark,.

Admitting Ignorance Helps the Video Question Answering Models to Answer Mvbench: A comprehensive multi-modal video understanding benchmark,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:22:29.368636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2938132f-fb81-4bf3-b4bd-7aa0e143015e · outbound

This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

Admitting Ignorance Helps the Video Question Answering Models to Answer VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:29.090022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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