본문으로 건너뛰기

#Multimodal Reasoning

53개의 포스트

[논문리뷰] Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR

Zhixiong Zeng이 arXiv에 게시한 'Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR' 논문에 대한 자세한 리뷰입니다.
#Review#Reinforcement Learning with Verifiable Rewards#LLMs#Policy Optimization#Response Length Bias#Sequence-level Clipping#Length-Unbiased Optimization#Multimodal Reasoning
댓글 수 로딩 중

[논문리뷰] AdaptMMBench: Benchmarking Adaptive Multimodal Reasoning for Mode Selection and Reasoning Process

Shilin Yan이 arXiv에 게시한 'AdaptMMBench: Benchmarking Adaptive Multimodal Reasoning for Mode Selection and Reasoning Process' 논문에 대한 자세한 리뷰입니다.
#Review#Multimodal Reasoning#Adaptive Learning#Vision-Language Models (VLMs)#Benchmarking#Mode Selection#Tool Learning#Reasoning Process Evaluation#Matthews Correlation Coefficient (MCC)
댓글 수 로딩 중

[논문리뷰] Decouple to Generalize: Context-First Self-Evolving Learning for Data-Scarce Vision-Language Reasoning

arXiv에 게시된 'Decouple to Generalize: Context-First Self-Evolving Learning for Data-Scarce Vision-Language Reasoning' 논문에 대한 자세한 리뷰입니다.
#Review#Vision-Language Models#Reinforcement Learning#Self-Evolving Learning#Data-Scarce Domains#Context-First Learning#Reward Hacking Mitigation#Multimodal Reasoning#Curriculum Learning
댓글 수 로딩 중

[논문리뷰] REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding

Jingyang Chen이 arXiv에 게시한 'REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding' 논문에 대한 자세한 리뷰입니다.
#Review#Multimodal Reasoning#Long-Form Video Understanding#Self-Reflection#Reinforcement Learning#Tool-Augmented MLLMs#Visual Rethinking#Video Question Answering#Causal Attribution
댓글 수 로딩 중

[논문리뷰] MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning

arXiv에 게시된 'MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning' 논문에 대한 자세한 리뷰입니다.
#Review#Multimodal Reasoning#Mathematical Problem Solving#Self-Evolving#Iterative Fine-Tuning#Reward Models#Reflection#Large Language Models (LLMs)
댓글 수 로딩 중

[논문리뷰] Training Vision-Language Process Reward Models for Test-Time Scaling in Multimodal Reasoning: Key Insights and Lessons Learned

arXiv에 게시된 'Training Vision-Language Process Reward Models for Test-Time Scaling in Multimodal Reasoning: Key Insights and Lessons Learned' 논문에 대한 자세한 리뷰입니다.
#Review#Vision-Language Models (VLMs)#Process Reward Models (PRMs)#Multimodal Reasoning#Test-Time Scaling (TTS)#Process Supervision#Dataset Construction#Perception Errors#MCTS
댓글 수 로딩 중

[논문리뷰] MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook

Bowen Zhou이 arXiv에 게시한 'MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook' 논문에 대한 자세한 리뷰입니다.
#Review#Multimodal Reasoning#Large Language Models (LLMs)#Multimodal Large Language Models (MLLMs)#Visual Grounding#Visual Question Answering#Advertisement Video Analysis#Real-world Scenarios#Challenge Benchmark
댓글 수 로딩 중

[논문리뷰] Multimodal Reasoning for Science: Technical Report and 1st Place Solution to the ICML 2025 SeePhys Challenge

Wentao Zhang이 arXiv에 게시한 'Multimodal Reasoning for Science: Technical Report and 1st Place Solution to the ICML 2025 SeePhys Challenge' 논문에 대한 자세한 리뷰입니다.
#Review#Multimodal Reasoning#Science AI#Caption-assisted Reasoning#SeePhys Challenge#Large Language Models#Visual Question Answering#Physics Problems#Cross-modal Alignment
댓글 수 로딩 중