Review

[논문리뷰] DSDR: Dual-Scale Diversity Regularization for Exploration in LLM Reasoning

Donghao Zhou이 arXiv에 게시한 'DSDR: Dual-Scale Diversity Regularization for Exploration in LLM Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models (LLM)#Reinforcement Learning with Verifiers (RLVR)#Exploration #Diversity Regularization #Dual-Scale #Reasoning #Policy Optimization

2026년 2월 23일

[논문리뷰] AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer

arXiv에 게시된 'AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer' 논문에 대한 자세한 리뷰입니다.

#Review #3D Asset Generation #Modular Design #Autoregressive Transformer #User-Generated Content (UGC)#Text-to-3D #Tokenization #SlowFast Decoding

2026년 2월 23일

[논문리뷰] Agents of Chaos

Koyena Pal이 arXiv에 게시한 'Agents of Chaos' 논문에 대한 자세한 리뷰입니다.

#Review #AI Agents #Red-teaming #Agentic Systems #Multi-Agent Communication #Security Vulnerabilities #Prompt Injection #Social Engineering #Resource Management

2026년 2월 23일

[논문리뷰] AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting

Yousof Gheisari이 arXiv에 게시한 'AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting' 논문에 대한 자세한 리뷰입니다.

#Review #Generative AI #Protein Language Model #Reinforcement Learning #AAV Capsid Engineering #Multi-objective Optimization #Renal Targeting #AlphaFold3 #ESM-2

2026년 2월 23일

[논문리뷰] A Very Big Video Reasoning Suite

arXiv에 게시된 'A Very Big Video Reasoning Suite' 논문에 대한 자세한 리뷰입니다.

#Review #Video Reasoning #Large-scale Dataset #Benchmark #Cognitive Architecture #Scaling Studies #Video Generation #Generalization #Rule-based Evaluation

2026년 2월 23일

[논문리뷰] VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training

arXiv에 게시된 'VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training' 논문에 대한 자세한 리뷰입니다.

#Review #Off-Policy RL #LLM Training #Importance Sampling #Variance Reduction #Variational Optimization #Policy Gradient #Sequence-Level Optimization #Reinforcement Learning

2026년 2월 22일

[논문리뷰] Selective Training for Large Vision Language Models via Visual Information Gain

arXiv에 게시된 'Selective Training for Large Vision Language Models via Visual Information Gain' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language Models #Visual Grounding #Language Bias Mitigation #Selective Training #Perplexity Metric #Data Efficiency #Multimodal AI

2026년 2월 22일

[논문리뷰] SARAH: Spatially Aware Real-time Agentic Humans

Alexander Richard이 arXiv에 게시한 'SARAH: Spatially Aware Real-time Agentic Humans' 논문에 대한 자세한 리뷰입니다.

#Review #Embodied Agents #Real-time #Conversational AI #Motion Generation #Spatially Aware #VR #Causal Models #Flow Matching #Gaze Control

2026년 2월 22일

[논문리뷰] Learning Smooth Time-Varying Linear Policies with an Action Jacobian Penalty

Jessica Hodgins이 arXiv에 게시한 'Learning Smooth Time-Varying Linear Policies with an Action Jacobian Penalty' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Motion Control #Robotics #Character Animation #Linear Policies #Action Jacobian Penalty #Policy Regularization #Sim-to-Real

2026년 2월 22일

[논문리뷰] Generated Reality: Human-centric World Simulation using Interactive Video Generation with Hand and Camera Control

Shengqu Cai이 arXiv에 게시한 'Generated Reality: Human-centric World Simulation using Interactive Video Generation with Hand and Camera Control' 논문에 대한 자세한 리뷰입니다.

#Review #Video Generation #Extended Reality (XR)#Diffusion Models #Human-Computer Interaction #Hand Pose Estimation #Camera Control #World Simulation #Interactive AI

2026년 2월 22일

[논문리뷰] EgoPush: Learning End-to-End Egocentric Multi-Object Rearrangement for Mobile Robots

Sihang Li이 arXiv에 게시한 'EgoPush: Learning End-to-End Egocentric Multi-Object Rearrangement for Mobile Robots' 논문에 대한 자세한 리뷰입니다.

#Review #Egocentric Perception #Multi-Object Rearrangement #Mobile Robotics #Reinforcement Learning #Teacher-Student Distillation #Non-Prehensile Manipulation #Sim-to-Real Transfer #Object-Centric Representation

2026년 2월 22일

[논문리뷰] Does Your Reasoning Model Implicitly Know When to Stop Thinking?

arXiv에 게시된 'Does Your Reasoning Model Implicitly Know When to Stop Thinking?' 논문에 대한 자세한 리뷰입니다.

#Review #Large Reasoning Models #Chain of Thought #Efficient Inference #Self-Aware Sampling #Reinforcement Learning #Reasoning Termination #Mathematical Benchmarks

2026년 2월 22일

[논문리뷰] DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning

Wei Wang이 arXiv에 게시한 'DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Reasoning #Mathematical Dataset #RLVR #Data Curation #Visual Diversity #K12 Mathematics #Large Multimodal Models

2026년 2월 22일

[논문리뷰] World Models for Policy Refinement in StarCraft II

arXiv에 게시된 'World Models for Policy Refinement in StarCraft II' 논문에 대한 자세한 리뷰입니다.

#Review #StarCraft II #World Model #Policy Refinement #Large Language Models #Reinforcement Learning #Partial Observability #Structured Text Representation #Game AI

2026년 2월 19일

[논문리뷰] Unified Latents (UL): How to train your latents

arXiv에 게시된 'Unified Latents (UL): How to train your latents' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Latent Representation Learning #VAE #Image Generation #Video Generation #Bitrate Control #Training Efficiency #Diffusion Prior #Diffusion Decoder

2026년 2월 19일

[논문리뷰] StereoAdapter-2: Globally Structure-Consistent Underwater Stereo Depth Estimation

arXiv에 게시된 'StereoAdapter-2: Globally Structure-Consistent Underwater Stereo Depth Estimation' 논문에 대한 자세한 리뷰입니다.

#Review #Underwater Depth Estimation #Stereo Matching #State Space Model #Mamba Architecture #ConvSS2D #Data Synthesis #LoRA #Zero-shot Learning #Robotics

2026년 2월 19일

[논문리뷰] SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning

arXiv에 게시된 'SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning' 논문에 대한 자세한 리뷰입니다.

#Review #Sparse Attention #Diffusion Models #Video Generation #Hybrid Masking #Distillation Fine-Tuning #Model Acceleration #Top-k #Top-p

2026년 2월 19일

[논문리뷰] References Improve LLM Alignment in Non-Verifiable Domains

arXiv에 게시된 'References Improve LLM Alignment in Non-Verifiable Domains' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Alignment #Reference-Guided Evaluation #Self-Improvement #Non-Verifiable Domains #Reinforcement Learning from Human Feedback (RLHF)#Direct Preference Optimization (DPO)

2026년 2월 19일

[논문리뷰] Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5

arXiv에 게시된 'Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5' 논문에 대한 자세한 리뷰입니다.

#Review #Frontier AI #AI Risk Management #Autonomous Agents #LLM Safety #Cybersecurity #Deception #Self-Replication #Mitigation Frameworks

2026년 2월 19일

[논문리뷰] DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers

Deepti Ghadiyaram이 arXiv에 게시한 'DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Transformers #Dynamic Tokenization #Patch Scheduling #Inference Acceleration #Text-to-Image Generation #Text-to-Video Generation #Latent Manifold Analysis #LoRA

2026년 2월 19일