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

Observation 588994f4-9412-4c5e-8271-3eac53a19c20 · 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 4748be00-dadc-4576-bf54-b95245485c18 · 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 4a50625e-d848-4227-b3da-5f66f58876d8 · 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 756f4f03-d070-4bb8-b86e-27a1b7f7bf21 · 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

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Observation 54a52c07-5c1d-4e40-ab69-e55f943f232d · 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

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Observation 55f183e4-ae3d-420f-bfda-e2ff3a18a9d7 · 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

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Observation dd57fea6-ac49-4fb9-ae91-2856c1a06d3b · 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 bf65a6ac-fa72-40f7-b53c-3b525acd8227 · 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 af82de50-6489-45ba-af6f-c5c83b2696d1 · 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

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Observation 7960451f-b77a-49f6-a0da-f8abfb48f974 · 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

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Observation 9f36618d-c41c-4920-be15-140355efe088 · 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

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Observation 65103cd6-26f4-4426-b281-86c5c7327301 · 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

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Observation 0f6aef30-0212-466a-a42f-cadc3cd80165 · 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

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Observation cf8fa89d-00e4-4f62-b081-f692a7f4b443 · 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

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Observation 68c35859-c188-432a-bab4-956f8b60df50 · 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

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Observation 2b5b87f8-3534-40f1-9500-e5db625d6951 · 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

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Observation a19f7c65-42e9-4c50-97ba-0fa6fdccf506 · 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

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Observation b37c185e-6c3d-4baa-8384-07744964309c · outbound

This paper cites an unresolved cited work.

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

Reference 19

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Observation fd14ce9a-e180-4116-890f-78fce2594889 · 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 9c3be8fd-6365-445b-83df-0b0e4e6de7e3 · 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

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Observation c4ce42e9-496c-434a-a3c2-b14ad9402289 · 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

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Observation 30cf05c6-eb92-409c-bcf4-e6e7e1feee33 · 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

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Observation d3538203-f05c-4cf3-b21e-08d890ded3b0 · outbound

This paper cites Shamma, Michael S.

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

Reference 24

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Observation 0d64ae94-d9c3-4463-be21-8fa6fc46debf · outbound

This paper cites Hudson and Christopher D.

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

Reference 25

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Observation d602b446-ad17-4ccd-aa6c-74a14782e087 · 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

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Observation 1ee99371-6f1f-409f-9283-1e744626298b · 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

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Observation 03777384-0678-4999-9811-655003dc4633 · 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

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Observation 1fd08b06-5c94-4bcc-a196-595b444165c7 · 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

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Observation ac515434-86d6-48a4-8785-f952fe275ea7 · 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

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Observation ab0e55c6-3e45-4a69-9009-aa821fee3ac0 · 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

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Observation d9242396-c525-4f96-a04f-8b3c2415e69d · 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

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Observation 252d8fac-c799-4c8f-bfa0-b1e1340a12e4 · 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

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Observation 8d988129-2f33-43c0-8962-9b9b0dc35ee7 · 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

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Observation 97c2c622-6e9a-4a01-b589-33617748ba57 · 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

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Observation b60f01bd-8dbe-4a81-b391-acda7f13a5ea · 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

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Observation 9979bb3c-bf3a-4cce-a40d-4da7e425d1e0 · 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

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Observation 6b667a0f-0d06-4fbd-8321-3d0e45be13c2 · 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

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Observation b83d9717-1d59-4afc-b1a7-49c0d8f0dc14 · outbound

This paper cites Tallyqa: Answering complex counting questions.

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

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Observation e7662078-d08b-42b5-826f-4c573d29bb85 · 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

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Observation 095ece7f-01ec-4375-8af9-2d27947aac67 · 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

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Observation a94731ac-e7db-4f1e-b33c-ec6fae225480 · 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

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Observation 8c22ab3f-f2d9-4440-ab13-2ef4864dda87 · 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

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Observation 6ad0800b-5c03-4d57-8de1-3f6f9aa32d8f · 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

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Observation 4b6adeac-7d1b-4de1-832d-76cceb23174a · 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

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Observation 16b0f8e8-3f6c-42d0-9871-db0cf78f5354 · 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

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Observation f09a8fdc-f2b7-4c88-9323-ed765f811dfc · 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

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Observation 969620d2-1667-4688-b581-7d424d9fe136 · 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

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Observation f024c7d3-1216-4eb9-82ff-29dcaba4ac04 · 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

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Observation a3a7534b-7924-49e8-af8a-eef484fb9eb2 · 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

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Observation 9f1b21c6-fe31-4c11-93a7-2ea08ad07c0d · 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

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Observation 4bff09f3-9150-49f9-ac02-c690c153f82d · 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

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Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:25.812395Z

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Observation d7704262-1cc7-40e4-80c9-071344766307 · outbound

This paper cites Infographicvqa.

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

Reference 53

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Observation 28447b1c-024e-4e80-8f23-8efbcfde9312 · 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

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Observation ef35bfe1-6595-400a-8566-21d9e3e024bf · outbound

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

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Observation 21d99262-c4a0-4f80-914d-9b1975ab71db · 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

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Observation 29e6f7ef-f01d-4a4d-83bd-5e89ba58399e · outbound

This paper cites VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models.

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

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Observation 9fac7579-7e08-45e5-b0b9-3d3ba00b03d9 · 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 2026-08-10T04:31:25.833023Z

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Observation efd96804-0035-43ff-8b25-857ad379e54d · 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: unresolved; no resolver link, observed 2026-08-10T04:31:25.836156Z

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Observation f3c7ccc0-55ad-45cc-ba58-8f06fae85e77 · 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

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:25.838950Z

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Observation 699ff05e-5e87-424e-bd32-8b12295b54ed · outbound

This paper cites an unresolved cited work.

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

Reference 772

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:25.672998Z

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Observation 1f66e88f-1ec6-47ad-9f43-c35f763f2835 · 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

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:25.647840Z

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