[논문리뷰] Adapting Vision-Language Models for E-commerce Understanding at ScalearXiv에 게시된 'Adapting Vision-Language Models for E-commerce Understanding at Scale' 논문에 대한 자세한 리뷰입니다.#Review#E-commerce#Vision-Language Models#Multimodal Understanding#Instruction Tuning#Attribute Extraction#Fine-tuning#Benchmarking#LLMs2026년 2월 12일댓글 수 로딩 중
[논문리뷰] When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context ReasoningarXiv에 게시된 'When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#Long-Context Reasoning#Large Language Models (LLMs)#Recurrent Memory#Gated Mechanisms#Reinforcement Learning#Memory Efficiency#Early Exit2026년 2월 11일댓글 수 로딩 중
[논문리뷰] When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing ModelsarXiv에 게시된 'When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing Models' 논문에 대한 자세한 리뷰입니다.#Review#Vision-Centric Jailbreak Attack#Image Editing Models#Safety Benchmark#IESBench#Multimodal Reasoning#Adversarial Attack#Defense Mechanism2026년 2월 11일댓글 수 로딩 중
[논문리뷰] Towards Autonomous Mathematics ResearcharXiv에 게시된 'Towards Autonomous Mathematics Research' 논문에 대한 자세한 리뷰입니다.#Review#Mathematics Research#Large Language Models#AI Agents#Theorem Proving#Tool Use#Gemini Deep Think#Autonomous Research#Human-AI Collaboration2026년 2월 11일댓글 수 로딩 중
[논문리뷰] TimeChat-Captioner: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual CaptionsarXiv에 게시된 'TimeChat-Captioner: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual Captions' 논문에 대한 자세한 리뷰입니다.#Review#Video Captioning#Multi-Scene Videos#Time-Aware#Structural Captions#Audio-Visual Understanding#Large Language Models#Reinforcement Learning#OmniDCBench2026년 2월 11일댓글 수 로딩 중
[논문리뷰] Stroke3D: Lifting 2D strokes into rigged 3D model via latent diffusion modelsarXiv에 게시된 'Stroke3D: Lifting 2D strokes into rigged 3D model via latent diffusion models' 논문에 대한 자세한 리뷰입니다.#Review#2D Strokes#3D Model Generation#Rigged Meshes#Latent Diffusion Models#Skeleton Generation#Text-to-3D#Graph Neural Networks#Preference Optimization2026년 2월 11일댓글 수 로딩 중
[논문리뷰] Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active ParametersarXiv에 게시된 'Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters' 논문에 대한 자세한 리뷰입니다.#Review#Mixture-of-Experts (MoE)#Sparse Models#Inference Efficiency#Hybrid Attention#Multi-Token Prediction (MTP)#Reinforcement Learning (RL)#Agentic AI#Long-Context Understanding2026년 2월 11일댓글 수 로딩 중
[논문리뷰] ROCKET: Rapid Optimization via Calibration-guided Knapsack Enhanced Truncation for Efficient Model CompressionarXiv에 게시된 'ROCKET: Rapid Optimization via Calibration-guided Knapsack Enhanced Truncation for Efficient Model Compression' 논문에 대한 자세한 리뷰입니다.#Review#Model Compression#LLM#Training-Free#Knapsack Problem#Sparse Matrix Factorization#Dictionary Learning#Post-Training Optimization#Weight Sparsification2026년 2월 11일댓글 수 로딩 중
[논문리뷰] QP-OneModel: A Unified Generative LLM for Multi-Task Query Understanding in Xiaohongshu SearchHui Zhang이 arXiv에 게시한 'QP-OneModel: A Unified Generative LLM for Multi-Task Query Understanding in Xiaohongshu Search' 논문에 대한 자세한 리뷰입니다.#Review#Large Language Models (LLMs)#Query Understanding#Multi-Task Learning#Generative AI#Reinforcement Learning (RL)#Social Network Services (SNS)#Xiaohongshu#Search Engines2026년 2월 11일댓글 수 로딩 중
[논문리뷰] PhyCritic: Multimodal Critic Models for Physical AIarXiv에 게시된 'PhyCritic: Multimodal Critic Models for Physical AI' 논문에 대한 자세한 리뷰입니다.#Review#Multimodal Critics#Physical AI#Reinforcement Learning#Self-Referential Finetuning#Evaluation Models#Causal Reasoning#Embodied AI#RLVR2026년 2월 11일댓글 수 로딩 중
[논문리뷰] Online Causal Kalman Filtering for Stable and Effective Policy OptimizationarXiv에 게시된 'Online Causal Kalman Filtering for Stable and Effective Policy Optimization' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning (RL)#Large Language Models (LLMs)#Policy Optimization#Importance Sampling (IS) Ratio#Kalman Filter#Variance Reduction#Math Reasoning2026년 2월 11일댓글 수 로딩 중
[논문리뷰] Internalizing Meta-Experience into Memory for Guided Reinforcement Learning in Large Language ModelsZhen Fang이 arXiv에 게시한 'Internalizing Meta-Experience into Memory for Guided Reinforcement Learning in Large Language Models' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Large Language Models#Meta-Learning#Error Attribution#Knowledge Internalization#Self-Distillation#Verifiable Rewards2026년 2월 11일댓글 수 로딩 중
[논문리뷰] GENIUS: Generative Fluid Intelligence Evaluation SuiteZijun Shen이 arXiv에 게시한 'GENIUS: Generative Fluid Intelligence Evaluation Suite' 논문에 대한 자세한 리뷰입니다.#Review#Generative Fluid Intelligence#UMM Evaluation#Visual Generation#Ad-hoc Reasoning#Contextual Adaptation#Benchmark#Attention Intervention2026년 2월 11일댓글 수 로딩 중
[논문리뷰] G-LNS: Generative Large Neighborhood Search for LLM-Based Automatic Heuristic DesignLiang Zeng이 arXiv에 게시한 'G-LNS: Generative Large Neighborhood Search for LLM-Based Automatic Heuristic Design' 논문에 대한 자세한 리뷰입니다.#Review#Large Language Models (LLMs)#Automated Heuristic Design (AHD)#Large Neighborhood Search (LNS)#Combinatorial Optimization#Evolutionary Algorithm#Destroy Repair Operators#Co-evolution2026년 2월 11일댓글 수 로딩 중
[논문리뷰] Free(): Learning to Forget in Malloc-Only Reasoning ModelsarXiv에 게시된 'Free(): Learning to Forget in Malloc-Only Reasoning Models' 논문에 대한 자세한 리뷰입니다.#Review#Large Language Models#Reasoning Models#Context Management#Memory Pruning#LoRA Adapter#Long-Horizon Reasoning#Self-Forgetting2026년 2월 11일댓글 수 로딩 중
[논문리뷰] FeatureBench: Benchmarking Agentic Coding for Complex Feature DevelopmentJiahe Wang이 arXiv에 게시한 'FeatureBench: Benchmarking Agentic Coding for Complex Feature Development' 논문에 대한 자세한 리뷰입니다.#Review#Agentic Coding#Benchmarking#LLMs#Feature Development#Software Engineering#Test-Driven Development#Scalability2026년 2월 11일댓글 수 로딩 중
[논문리뷰] Ex-Omni: Enabling 3D Facial Animation Generation for Omni-modal Large Language ModelsTianshu Yu이 arXiv에 게시한 'Ex-Omni: Enabling 3D Facial Animation Generation for Omni-modal Large Language Models' 논문에 대한 자세한 리뷰입니다.#Review#Omni-modal LLMs#3D Facial Animation#Speech-to-Face Generation#Token-as-Query Gated Fusion (TQGF)#Discrete Speech Units#ARKit-52 Blendshapes#InstructEx Dataset#Multimodal Generation2026년 2월 11일댓글 수 로딩 중
[논문리뷰] EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive EconomiesYishuo Yuan이 arXiv에 게시한 'EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies' 논문에 대한 자세한 리뷰입니다.#Review#LLM Evaluation#Long-Horizon Planning#Interactive Economies#Benchmark#Agentic AI#Economic Simulation#Plan-and-Execute2026년 2월 11일댓글 수 로딩 중
[논문리뷰] DataChef: Cooking Up Optimal Data Recipes for LLM Adaptation via Reinforcement LearningKai Chen이 arXiv에 게시한 'DataChef: Cooking Up Optimal Data Recipes for LLM Adaptation via Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.#Review#LLM Adaptation#Reinforcement Learning#Data Curation#Data Pipelines#Data Recipes#Data Verifier#Data-centric AI2026년 2월 11일댓글 수 로딩 중
[논문리뷰] Data Repetition Beats Data Scaling in Long-CoT Supervised Fine-TuningYuki M. Asano이 arXiv에 게시한 'Data Repetition Beats Data Scaling in Long-CoT Supervised Fine-Tuning' 논문에 대한 자세한 리뷰입니다.#Review#Supervised Fine-tuning (SFT)#Chain-of-Thought (CoT)#Data Repetition#Data Scaling#LLM Training#Generalization#Overfitting#Reasoning Models2026년 2월 11일댓글 수 로딩 중