PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis | Paper Citation Record

Observation bbbd0fb4-85f1-454b-b22f-ca54c55ef7ad · outbound

This paper cites Introducing GPT-5.4.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Introducing GPT-5.4

Reference 1

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Observation d4f4be81-3b5c-4eb9-8d6d-d70c159e3316 · outbound

This paper cites Qwen3-VL Technical Report.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Qwen3-VL Technical Report

Reference 2

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Observation eab7a051-d5bd-43fb-9752-d1bf0a820f14 · outbound

This paper cites MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct

Reference 3

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Observation fa99a0dc-e1d9-476c-a108-b9acad9731f4 · outbound

This paper cites Mulberry: Empowering MLLM with o1-like reasoning and reflection via collective monte carlo tree search.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Mulberry: Empowering MLLM with o1-like reasoning and reflection via collective monte carlo tree search

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:28.890230Z

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Observation aee064f1-f62c-4416-acf7-cba6b9c06572 · outbound

This paper cites LLaVA-CoT: Let Vision Language Models Reason Step-by-Step.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis LLaVA-CoT: Let Vision Language Models Reason Step-by-Step

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:25.356753Z

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Observation 4d77cb9a-dc1b-4476-9f86-10805ddb2bde · outbound

This paper cites Oasis: One Image is All You Need for Multimodal Instruction Data Synthesis.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Oasis: One Image is All You Need for Multimodal Instruction Data Synthesis

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:25.434877Z

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Observation c94405ad-f735-413f-b423-fcf14d6c2427 · outbound

This paper cites an unresolved cited work.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Unresolved cited work

Reference 8

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Observation 20378077-12fd-4c83-a0e5-e7f1a8d56942 · outbound

This paper cites Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Reference 9

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Observation d3ed71d4-d9be-44bd-af14-320fad3b5962 · outbound

This paper cites Alternating reinforcement learning for rubric-based reward modeling in non-verifiable LLM post-training.arXiv preprint arXiv:2602.01511, 2026.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Alternating reinforcement learning for rubric-based reward modeling in non-verifiable LLM post-training.arXiv preprint arXiv:2602.01511, 2026

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:25.611475Z

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Observation 074c7df1-d63a-4cde-be05-0ab561f3d6cd · outbound

This paper cites Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:25.668223Z

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Observation 31454cc5-5533-4379-aa2c-3d8b75e05f3a · outbound

This paper cites InFoBench: Evaluating instruction following ability in large language models.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis InFoBench: Evaluating instruction following ability in large language models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:25.696284Z

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Observation d6f4bcc6-1055-455a-9355-bf3c0db2bbdf · outbound

This paper cites Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:25.707335Z

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Observation b3002793-658d-414a-90a3-7f8ac7c7dc11 · outbound

This paper cites Cambrian-1: A fully open, vision-centric exploration of multimodal llms.Advances in Neural Information Processing Systems, 37:87310–87356, 2024.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Cambrian-1: A fully open, vision-centric exploration of multimodal llms.Advances in Neural Information Processing Systems, 37:87310–87356, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:25.790380Z

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Observation 53b67008-da19-4ca7-b9fd-81067528ad38 · outbound

This paper cites Seed 2.0 Model Card.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Seed 2.0 Model Card

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:28.605107Z

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Observation 66725781-3aae-42f1-8df6-8a58e16f5012 · outbound

This paper cites ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:25.889313Z

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Observation cb8a6de7-a0d1-4dac-a638-8042208c8c64 · outbound

This paper cites Microsoft coco: Common objects in context.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Microsoft coco: Common objects in context

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:25.905148Z

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Observation f225b0fa-d5d9-4574-8a25-a4ac93456240 · outbound

This paper cites Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:25.910608Z

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Observation 78783983-aa1b-438e-b0e4-4bc3bd6c4482 · outbound

This paper cites an unresolved cited work.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:13:28.579043Z

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Observation 2cc8404a-8f16-4ec7-8f39-8bc631564e22 · outbound

This paper cites How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 20

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Observation f1f80f45-9484-4442-bc68-1e528424f735 · outbound

This paper cites Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:25.992116Z

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Observation 1d615319-06fa-4995-a5f3-564688c3b98c · outbound

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

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Vizwiz grand challenge: Answering visual questions from blind people

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:25.996787Z

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Observation d6621171-0bb7-4cf9-a371-f652107c6574 · outbound

This paper cites Visually Dehallucinative Instruction Generation: Know What You Don't Know.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Visually Dehallucinative Instruction Generation: Know What You Don't Know

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.001095Z

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Observation b6c036b1-8a5a-4a08-810c-667bd23e0559 · outbound

This paper cites Shamma, Michael S.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Shamma, Michael S

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:28.534941Z

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Observation 9ab7595b-4d01-4ca5-ae50-fa5b75d6cea9 · outbound

This paper cites Hudson and Christopher D.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Hudson and Christopher D

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:28.430154Z

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Observation cdfc299c-6d6c-423b-9d5a-1b6f30a74bef · outbound

This paper cites Dvqa: Understanding data visualizations via question answering.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Dvqa: Understanding data visualizations via question answering

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:28.349913Z

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Observation 3baaa5d1-c38b-47e8-a1e6-b337a0f28737 · outbound

This paper cites Donut: Document understanding transformer without ocr.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Donut: Document understanding transformer without ocr

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:28.333073Z

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Observation c4c2cf58-85e1-4a9c-9d72-cfc0dda00e0d · outbound

This paper cites Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.025156Z

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Observation 181bbf3e-25e8-4479-8ee5-781dc0e59989 · outbound

This paper cites A diagram is worth a dozen images.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis A diagram is worth a dozen images

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.029929Z

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Observation dd9c2897-ffbc-406d-b54b-63c56c1946b3 · outbound

This paper cites ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.034113Z

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Observation 7cab4f00-62f7-40d1-9b1f-c814d20e9488 · outbound

This paper cites LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.039380Z

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Observation 95793b90-2f10-46b9-b5fd-3a9f5965ed85 · outbound

This paper cites Docvqa: A dataset for vqa on document images.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Docvqa: A dataset for vqa on document images

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:28.300567Z

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Observation 916d1ab7-c5cb-4d7f-97b0-475d858014dc · outbound

This paper cites Chartqa: A benchmark for question answering about charts with visual and logical reasoning.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Chartqa: A benchmark for question answering about charts with visual and logical reasoning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.048832Z

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Observation a365ac9b-178f-478a-86b1-ad3532ab30f7 · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.053348Z

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Observation c122808b-f685-494f-8df5-042bfd420964 · outbound

This paper cites Ocr-vqa: Visual question answering by reading text in images.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Ocr-vqa: Visual question answering by reading text in images

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:28.240012Z

Source-reported events for the cited work

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

Observation f429713f-e621-4efc-b12c-0c68bc3e7a82 · outbound

This paper cites Compositional semantic parsing on semi-structured tables.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Compositional semantic parsing on semi-structured tables

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:28.223898Z

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Observation c4c72c40-40e2-46ad-98d8-04d0ad4ce66b · outbound

This paper cites Iconqa: A new benchmark for abstract diagram understanding and visual language reasoning.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Iconqa: A new benchmark for abstract diagram understanding and visual language reasoning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:28.152949Z

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Observation e6f73a19-1da4-41bf-a858-a685e4066792 · outbound

This paper cites Clevr: A diagnostic dataset for compositional language and elementary visual reasoning.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Clevr: A diagnostic dataset for compositional language and elementary visual reasoning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:28.103105Z

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Observation 6d2607da-9cd2-400c-bd00-8d1fff846d10 · outbound

This paper cites Tallyqa: Answering complex counting questions.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Tallyqa: Answering complex counting questions

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:28.088458Z

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Observation bdfc0a12-ee5f-4e2e-bc30-01955c88abf6 · outbound

This paper cites G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model

Reference 40

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Observation ab97f596-b2db-4d68-800c-659f9b6dd19c · outbound

This paper cites Measuring multimodal mathematical reasoning with math-vision dataset.Advances in Neural Information Processing Systems, 37:95095–95169, 2024.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Measuring multimodal mathematical reasoning with math-vision dataset.Advances in Neural Information Processing Systems, 37:95095–95169, 2024

Reference 41

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Observation 10dc1878-4909-4f33-b1c1-a9e56435416b · outbound

This paper cites Raven: A dataset for relational and analogical visual reasoning.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Raven: A dataset for relational and analogical visual reasoning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:28.064382Z

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Observation e1144657-2cef-4a6f-a92f-c5f128c1b7dc · outbound

This paper cites PathVQA: 30000+ Questions for Medical Visual Question Answering.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.207581Z

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Observation f596d7f7-ae26-4293-9dcd-e629250145de · outbound

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

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:28.046794Z

Source-reported events for the cited work

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

Observation 63e9de72-b78a-4f9e-965f-0981542128b0 · outbound

This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.317500Z

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Observation 493a1714-0e5d-42b3-9e73-fa73398c8b58 · outbound

This paper cites Qwen3.5.https://qwen.ai/blog?id=qwen3.5, 2026.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Qwen3.5.https://qwen.ai/blog?id=qwen3.5, 2026

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:27.980922Z

Source-reported events for the cited work

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

Observation 0406641e-16e3-4a65-b912-43c1c0791f4d · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.532378Z

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Observation 8e4efd0d-59eb-416a-9989-6e7aa5f279b0 · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? In European conference on computer vision, pages 216–233.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Mmbench: Is your multi-modal model an all-around player? In European conference on computer vision, pages 216–233

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.545256Z

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Observation 54d662d8-e2e9-4e53-bf17-da6b1aebd5cf · outbound

This paper cites Mme: A comprehensive evaluation benchmark for multimodal large language models.Advances in Neural Information Processing Systems, 38, 2026.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Mme: A comprehensive evaluation benchmark for multimodal large language models.Advances in Neural Information Processing Systems, 38, 2026

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:27.903221Z

Source-reported events for the cited work

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

Observation dc02aaa0-93c2-421f-b76f-5ea8d3104256 · outbound

This paper cites Are we on the right way for evaluating large vision-language models?Advances in Neural Information Processing Systems, 37:27056–27087, 2024.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Are we on the right way for evaluating large vision-language models?Advances in Neural Information Processing Systems, 37:27056–27087, 2024

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.594626Z

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Observation c996c68b-0240-4af9-908d-f5fe5e93e808 · outbound

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

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.599460Z

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Observation b5ac2766-49ff-4252-b7b6-7f1a9bc6296f · outbound

This paper cites Ocrbench: on the hidden mystery of ocr in large multimodal models.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Ocrbench: on the hidden mystery of ocr in large multimodal models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.682248Z

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Observation f85070c1-1962-4b10-9124-6dbfaace9535 · outbound

This paper cites Infographicvqa.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Infographicvqa

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.740499Z

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Observation bb23239e-eaa4-4e9a-8a53-7063e9784fc6 · outbound

This paper cites Charxiv: Charting gaps in realistic chart understanding in multimodal llms.Advances in Neural Information Processing Systems, 37:113569–113697, 2024.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Charxiv: Charting gaps in realistic chart understanding in multimodal llms.Advances in Neural Information Processing Systems, 37:113569–113697, 2024

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:27.747015Z

Source-reported events for the cited work

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This paper cites Dynamath: A dynamic visual benchmark for evaluating mathematical reasoning robustness of vision language models.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Dynamath: A dynamic visual benchmark for evaluating mathematical reasoning robustness of vision language models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:27.683662Z

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Observation f055aed7-104b-45c2-b333-5414663d6db0 · outbound

This paper cites LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.813213Z

Source-reported events for the cited work

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Observation 9c07e80c-8c6e-4c9b-bf64-63ffcb13b6a7 · outbound

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PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models

Reference 57

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Observation 5a064eed-8027-4c0d-aa53-ed40ede678cc · outbound

This paper cites Teaching CLIP to Count to Ten.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Teaching CLIP to Count to Ten

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:26.824188Z

Source-reported events for the cited work

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Observation 2e65b108-92c2-4bbe-87e8-bdf2f6443239 · outbound

This paper cites Gemini 3 Flash: Frontier intelligence built for speed.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Gemini 3 Flash: Frontier intelligence built for speed

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:13:27.624851Z

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Observation f30d611f-84a1-464d-9887-8b5bbaecf849 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis LLaVA-OneVision: Easy Visual Task Transfer

Reference 60

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Source-reported events for the cited work

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Observation f90efd05-8d87-4757-830d-b03b58f172ba · outbound

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PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Unresolved cited work

Reference 772

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Observation 7117009a-84ae-4a84-bcbf-78d3610513e2 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis Instruction-Following Evaluation for Large Language Models

Reference 2023

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Source-reported events for the cited work

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