[논문리뷰] FVG-PT: Adaptive Foreground View-Guided Prompt Tuning for Vision-Language ModelsarXiv에 게시된 'FVG-PT: Adaptive Foreground View-Guided Prompt Tuning for Vision-Language Models' 논문에 대한 자세한 리뷰입니다.#Review#Vision-Language Models#Prompt Tuning#Foreground Attention#Adaptive Learning#Generalization#Base-to-New Trade-off#Attention Guidance2026년 3월 9일댓글 수 로딩 중
[논문리뷰] LK Losses: Direct Acceptance Rate Optimization for Speculative DecodingarXiv에 게시된 'LK Losses: Direct Acceptance Rate Optimization for Speculative Decoding' 논문에 대한 자세한 리뷰입니다.#Review#Speculative Decoding#LLM Inference#Acceptance Rate#KL Divergence#Total Variation Distance#Loss Functions#Draft Model Training#Adaptive Learning2026년 3월 1일댓글 수 로딩 중
[논문리뷰] CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMsarXiv에 게시된 'CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#LLMs#Budget Allocation#Adaptive Learning#Capability-Oriented Value Function#Exploration-Exploitation#Resource Efficiency2026년 2월 3일댓글 수 로딩 중
[논문리뷰] AdaptMMBench: Benchmarking Adaptive Multimodal Reasoning for Mode Selection and Reasoning ProcessShilin 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)2026년 2월 3일댓글 수 로딩 중
[논문리뷰] AdaReasoner: Dynamic Tool Orchestration for Iterative Visual ReasoningarXiv에 게시된 'AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#Multimodal LLMs#Tool Orchestration#Visual Reasoning#Reinforcement Learning#Adaptive Learning#Generalization#Tool Use2026년 1월 27일댓글 수 로딩 중
[논문리뷰] Let Multimodal Embedders Learn When to Augment Query via Adaptive Query AugmentationJaehyun Park이 arXiv에 게시한 'Let Multimodal Embedders Learn When to Augment Query via Adaptive Query Augmentation' 논문에 대한 자세한 리뷰입니다.#Review#Multimodal Embedders#Query Augmentation#Adaptive Learning#Multimodal LLM#Information Retrieval#Generative AI#Embedding Latency2025년 11월 9일댓글 수 로딩 중
[논문리뷰] ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy ShapingWenbo Hu이 arXiv에 게시한 'ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping' 논문에 대한 자세한 리뷰입니다.#Review#Multimodal Reasoning#Adaptive Learning#Reinforcement Learning#Entropy Shaping#Difficulty-Aware#Chain-of-Thought#Token-Level Analysis2025년 10월 13일댓글 수 로딩 중
[논문리뷰] Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context RetrievalarXiv에 게시된 'Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval' 논문에 대한 자세한 리뷰입니다.#Review#RAG#LLM Reasoning#Knowledge Graphs#Multi-Agent Systems#Context Retrieval#Heterogeneous Graphs#Adaptive Learning#Dual-Evolution2025년 9월 29일댓글 수 로딩 중
[논문리뷰] Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint ScaffoldingYongcheng Zeng이 arXiv에 게시한 'Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint Scaffolding' 논문에 대한 자세한 리뷰입니다.#Review#RLVR#LLM Reasoning#Adaptive Learning#Hint Scaffolding#Item Response Theory#Exploration Efficiency#Problem Difficulty#Policy Optimization2025년 9월 10일댓글 수 로딩 중
[논문리뷰] A Stitch in Time Saves Nine: Proactive Self-Refinement for Language ModelsZishang Jiang이 arXiv에 게시한 'A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models' 논문에 대한 자세한 리뷰입니다.#Review#Self-Refinement#Language Models#Reinforcement Learning#Proactive AI#Generation Process#Markov Decision Process#Adaptive Learning#LLM Efficiency2025년 8월 20일댓글 수 로딩 중