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#Generative Models

87개의 포스트

[논문리뷰] Back to Basics: Revisiting Exploration in Reinforcement Learning for LLM Reasoning via Generative Probabilities

Ivan Oseledets이 arXiv에 게시한 'Back to Basics: Revisiting Exploration in Reinforcement Learning for LLM Reasoning via Generative Probabilities' 논문에 대한 자세한 리뷰입니다.
#Review#Reinforcement Learning#LLM Reasoning#Exploration-Exploitation#Group Relative Policy Optimization#Entropy Collapse#Generative Models#Confidence-Aware Rewards
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[논문리뷰] How Well Do Models Follow Visual Instructions? VIBE: A Systematic Benchmark for Visual Instruction-Driven Image Editing

Haochen Tian이 arXiv에 게시한 'How Well Do Models Follow Visual Instructions? VIBE: A Systematic Benchmark for Visual Instruction-Driven Image Editing' 논문에 대한 자세한 리뷰입니다.
#Review#Visual Instruction#Image Editing#Multimodal Benchmark#LMM-as-a-judge#Deictic Grounding#Morphological Manipulation#Causal Reasoning#Generative Models
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[논문리뷰] Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views

Junchi Yan이 arXiv에 게시한 'Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views' 논문에 대한 자세한 리뷰입니다.
#Review#Point Cloud Learning#Self-Supervised Learning#Cross Reconstruction#Decoupled Views#Generative Models#Positional Encoding#3D Vision
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