Review

[논문리뷰] Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling

Daniil Orel이 arXiv에 게시한 'Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling' 논문에 대한 자세한 리뷰입니다.

#Review #Reasoning Depth #Cellular Automata #Transformer Architectures #Recurrence #Adaptive Computation Time #Chain-of-Thought #Reinforcement Learning #Generalization

2025년 8월 26일

[논문리뷰] TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill & Decode Inference

Di Yin이 arXiv에 게시한 'TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill & Decode Inference' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Inference #Tensor Parallelism #KV Cache Optimization #Latent Attention #Memory Efficiency #Decoding Speedup #Prefill/Decode Separation #Reparameterization

2025년 8월 25일

[논문리뷰] Selective Contrastive Learning for Weakly Supervised Affordance Grounding

Jae-Pil Heo이 arXiv에 게시한 'Selective Contrastive Learning for Weakly Supervised Affordance Grounding' 논문에 대한 자세한 리뷰입니다.

#Review #Weakly Supervised Learning #Affordance Grounding #Contrastive Learning #CLIP #Part Discovery #Object Localization #DINO #Generative Models

2025년 8월 25일

[논문리뷰] Learnable SMPLify: A Neural Solution for Optimization-Free Human Pose Inverse Kinematics

Xiao Sun이 arXiv에 게시한 'Learnable SMPLify: A Neural Solution for Optimization-Free Human Pose Inverse Kinematics' 논문에 대한 자세한 리뷰입니다.

#Review #Inverse Kinematics #Human Pose Estimation #SMPL Model #Neural Networks #Optimization-Free #Residual Learning #Data-Driven

2025년 8월 25일

[논문리뷰] Jailbreaking Commercial Black-Box LLMs with Explicitly Harmful Prompts

Liming Fang이 arXiv에 게시한 'Jailbreaking Commercial Black-Box LLMs with Explicitly Harmful Prompts' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Jailbreaking #Red Teaming #Malicious Content Detection #Developer Messages #D-Attack #DH-CoT #Adversarial Attacks #Dataset Cleaning

2025년 8월 25일

[논문리뷰] InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles

Diping Song이 arXiv에 게시한 'InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Evaluation #Human Reasoning Styles #Social Deduction Games #Theory of Mind #Adaptive Reasoning #Avalon Game #Cognitive Grounding

2025년 8월 25일

[논문리뷰] End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning

Pengcheng Qiu이 arXiv에 게시한 'End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic RAG #Medical Diagnosis #Reinforcement Learning #Traceable AI #Large Language Models #Clinical Decision Support #Out-of-Distribution Generalization #Reward Design

2025년 8월 25일

[논문리뷰] EgoTwin: Dreaming Body and View in First Person

Wentao Wang이 arXiv에 게시한 'EgoTwin: Dreaming Body and View in First Person' 논문에 대한 자세한 리뷰입니다.

#Review #Egocentric Video Generation #Human Motion Synthesis #Diffusion Transformers #Multimodal Generation #Viewpoint Alignment #Causal Interplay #First-Person Vision

2025년 8월 25일

[논문리뷰] Do What? Teaching Vision-Language-Action Models to Reject the Impossible

Roei Herzig이 arXiv에 게시한 'Do What? Teaching Vision-Language-Action Models to Reject the Impossible' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language-Action Models #Robotics #False Premise Detection #Instruction Following #Human-Robot Interaction #Clarification #Instruction Tuning

2025년 8월 25일

[논문리뷰] CRISP: Persistent Concept Unlearning via Sparse Autoencoders

Yonatan Belinkov이 arXiv에 게시한 'CRISP: Persistent Concept Unlearning via Sparse Autoencoders' 논문에 대한 자세한 리뷰입니다.

#Review #Concept Unlearning #Sparse Autoencoders (SAEs)#LLMs #Parameter-Efficient Fine-Tuning #Model Interpretability #Safety-Critical AI #Feature Suppression #WMDP Benchmark

2025년 8월 25일

[논문리뷰] CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning

Yulun Zhang이 arXiv에 게시한 'CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Reasoning #Contrastive Learning #Reinforcement Learning #Fine-tuning #Chain-of-Thought (CoT)#Annotated Data #Model Stability

2025년 8월 25일

[논문리뷰] Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR

Ying Nian Wu이 arXiv에 게시한 'Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Large Language Models #Self-Play #Variational Problem Synthesis #Policy Entropy #Pass@k #Reasoning Benchmarks

2025년 8월 25일

[논문리뷰] AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

Liuyi Yao이 arXiv에 게시한 'AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Agents #Agentic Applications #ReAct Paradigm #Framework #Tool Use #Multi-Agent Systems #Developer Experience #Evaluation

2025년 8월 25일

[논문리뷰] AetherCode: Evaluating LLMs' Ability to Win In Premier Programming Competitions

Yidi Du이 arXiv에 게시한 'AetherCode: Evaluating LLMs' Ability to Win In Premier Programming Competitions' 논문에 대한 자세한 리뷰입니다.

#Review #Competitive Programming #LLM Evaluation #Code Reasoning #Benchmark #Test Case Generation #Programming Competitions #Algorithmic Problems

2025년 8월 25일

[논문리뷰] aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists

Heng Zhang이 arXiv에 게시한 'aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists' 논문에 대한 자세한 리뷰입니다.

#Review #AI Agents #Open Access #Scientific Discovery #Peer Review #LLMs #Multi-agent Systems #Prompt Injection #Iterative Refinement

2025년 8월 22일

[논문리뷰] When and What: Diffusion-Grounded VideoLLM with Entity Aware Segmentation for Long Video Understanding

Rui Guo이 arXiv에 게시한 'When and What: Diffusion-Grounded VideoLLM with Entity Aware Segmentation for Long Video Understanding' 논문에 대한 자세한 리뷰입니다.

#Review #Video-LLM #Diffusion Model #Temporal Grounding #Object Segmentation #Long Video Understanding #Multimodal AI #Video Question Answering

2025년 8월 22일

[논문리뷰] Waver: Wave Your Way to Lifelike Video Generation

Yifu Zhang이 arXiv에 게시한 'Waver: Wave Your Way to Lifelike Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Video Generation #Foundation Model #Diffusion Model #Transformer #Text-to-Video #Image-to-Video #Super-Resolution #Data Curation

2025년 8월 22일

[논문리뷰] Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds

Chuiyun Wu이 arXiv에 게시한 'Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds' 논문에 대한 자세한 리뷰입니다.

#Review #3D Human Reconstruction #Gaussian Splatting #Sparse View #Two-Image Input #Real-time Inference #Point Cloud Prediction #Feed-forward Network

2025년 8월 22일

[논문리뷰] SceneGen: Single-Image 3D Scene Generation in One Feedforward Pass

Ya Zhang이 arXiv에 게시한 'SceneGen: Single-Image 3D Scene Generation in One Feedforward Pass' 논문에 대한 자세한 리뷰입니다.

#Review #3D Scene Generation #Single-Image Input #Feedforward Networks #Diffusion Models #Geometric Modeling #Texture Synthesis #Transformer #Feature Aggregation

2025년 8월 22일

[논문리뷰] Mobile-Agent-v3: Foundamental Agents for GUI Automation

Haowei Liu이 arXiv에 게시한 'Mobile-Agent-v3: Foundamental Agents for GUI Automation' 논문에 대한 자세한 리뷰입니다.

#Review #GUI Automation #Multimodal Agents #Foundational Models #Reinforcement Learning #Large Language Models #Cross-Platform #Self-Supervised Learning

2025년 8월 22일