Review

[논문리뷰] RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging

arXiv에 게시된 'RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging' 논문에 대한 자세한 리뷰입니다.

#Review #Catastrophic Forgetting #Continual Learning #Model Merging #LLMs #Representation Learning #Data-free Learning #Hierarchical Parameter Fusion

2025년 10월 27일

[논문리뷰] RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling

arXiv에 게시된 'RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Video Generation #Prompt Optimization #Large Language Models (LLM)#Test-Time Scaling #Retrieval-Augmented Generation #Diffusion Models #Data Alignment

2025년 10월 27일

[논문리뷰] PhysWorld: From Real Videos to World Models of Deformable Objects via Physics-Aware Demonstration Synthesis

Hui Li이 arXiv에 게시한 'PhysWorld: From Real Videos to World Models of Deformable Objects via Physics-Aware Demonstration Synthesis' 논문에 대한 자세한 리뷰입니다.

#Review #World Models #Deformable Objects #Physics Simulation #GNN #Digital Twin #Data Synthesis #Real-to-Sim #Physics-Aware Learning

2025년 10월 27일

[논문리뷰] PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments

Chaoyang Zhao이 arXiv에 게시한 'PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments' 논문에 대한 자세한 리뷰입니다.

#Review #Active Visual Reasoning #MLLM #Physical Environments #Partially Observable #Markov Decision Process #Chain-of-Thought #Embodied AI #CLEVR-AVR

2025년 10월 27일

[논문리뷰] Model Merging with Functional Dual Anchors

arXiv에 게시된 'Model Merging with Functional Dual Anchors' 논문에 대한 자세한 리뷰입니다.

#Review #Model Merging #Functional Dual Anchors #Input-Representation Space #Task Vectors #Knowledge Integration #Foundation Models #Gradient Matching #Post-training Strategy

2025년 10월 27일

[논문리뷰] Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs

Bohyung Han이 arXiv에 게시한 'Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Video Large Language Models #VideoQA #Mechanistic Interpretability #Attention Knockout #Temporal Reasoning #Information Flow #Model Interpretability #Logit Lens

2025년 10월 27일

[논문리뷰] From Denoising to Refining: A Corrective Framework for Vision-Language Diffusion Model

arXiv에 게시된 'From Denoising to Refining: A Corrective Framework for Vision-Language Diffusion Model' 논문에 대한 자세한 리뷰입니다.

#Review #Discrete Diffusion Models #Vision-Language Models #Error Cascades #Self-Correction #Refinement Framework #Parallel Generation #Image Captioning #Hallucination Mitigation

2025년 10월 27일

[논문리뷰] Foley Control: Aligning a Frozen Latent Text-to-Audio Model to Video

arXiv에 게시된 'Foley Control: Aligning a Frozen Latent Text-to-Audio Model to Video' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Audio #Video-to-Audio #Foley Synthesis #Diffusion Models #Cross-Attention #Frozen Backbones #Video Embeddings #Rotary Position Embeddings

2025년 10월 27일

[논문리뷰] Document Understanding, Measurement, and Manipulation Using Category Theory

arXiv에 게시된 'Document Understanding, Measurement, and Manipulation Using Category Theory' 논문에 대한 자세한 리뷰입니다.

#Review #Category Theory #Document Understanding #Large Language Models #Information Theory #Rhetorical Structure Theory #Document Summarization #Rate Distortion Analysis #Self-supervised Learning

2025년 10월 27일

[논문리뷰] DeepAgent: A General Reasoning Agent with Scalable Toolsets

Jiajie Jin이 arXiv에 게시한 'DeepAgent: A General Reasoning Agent with Scalable Toolsets' 논문에 대한 자세한 리뷰입니다.

#Review #Autonomous Agents #Large Language Models #Tool Use #Reinforcement Learning #Memory Management #Tool Retrieval #Agentic Reasoning

2025년 10월 27일

[논문리뷰] AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite

Bhavana Dalvi이 arXiv에 게시한 'AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite' 논문에 대한 자세한 리뷰입니다.

#Review #AI Agents #Benchmarking #Scientific Research #LLM Evaluation #Agentic AI #Tool Use #Reproducibility #Cost-Aware Evaluation

2025년 10월 27일

[논문리뷰] Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost

Min Yang이 arXiv에 게시한 'Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost' 논문에 대한 자세한 리뷰입니다.

#Review #Machine Translation Evaluation #Large Reasoning Models #LLM-as-a-judge #MQM #Fine-tuning #Thinking Calibration #Computational Efficiency #Meta-evaluation

2025년 10월 27일

[논문리뷰] ARC-Encoder: learning compressed text representations for large language models

arXiv에 게시된 'ARC-Encoder: learning compressed text representations for large language models' 논문에 대한 자세한 리뷰입니다.

#Review #Context Compression #Large Language Models #Encoder-Decoder Architecture #Text Representation #In-Context Learning #Parameter Efficiency #Retrieval-Augmented Generation

2025년 10월 27일

[논문리뷰] ALICE-LRI: A General Method for Lossless Range Image Generation for Spinning LiDAR Sensors without Calibration Metadata

José C. Cabaleiro이 arXiv에 게시한 'ALICE-LRI: A General Method for Lossless Range Image Generation for Spinning LiDAR Sensors without Calibration Metadata' 논문에 대한 자세한 리뷰입니다.

#Review #LiDAR #Range Image #Lossless Projection #Sensor Calibration #Intrinsic Parameters #Point Cloud Reconstruction #Hough Transform #Weighted Least Squares

2025년 10월 27일

[논문리뷰] A Definition of AGI

Yarin Gal이 arXiv에 게시한 'A Definition of AGI' 논문에 대한 자세한 리뷰입니다.

#Review #AGI Definition #Cognitive Assessment #Cattell-Horn-Carroll Theory #AI Evaluation #Multimodal AI #Cognitive Domains #Psychometrics

2025년 10월 27일

[논문리뷰] Thought Communication in Multiagent Collaboration

Mingze Gao이 arXiv에 게시한 'Thought Communication in Multiagent Collaboration' 논문에 대한 자세한 리뷰입니다.

#Review #Multiagent Systems #LLM Communication #Latent Variable Models #Identifiability Theory #Thought Communication #Sparse Autoencoder #Prefix Tuning

2025년 10월 24일

[논문리뷰] The Massive Legal Embedding Benchmark (MLEB)

arXiv에 게시된 'The Massive Legal Embedding Benchmark (MLEB)' 논문에 대한 자세한 리뷰입니다.

#Review #Legal Information Retrieval #Embedding Models #Benchmark Dataset #Natural Language Processing #Retrieval-Augmented Generation #Jurisdictional Diversity #Legal Tech

2025년 10월 24일

[논문리뷰] Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assets

arXiv에 게시된 'Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assets' 논문에 대한 자세한 리뷰입니다.

#Review #3D Asset Generation #Simulation-Ready Assets #Diffusion Models #Physically Based Rendering (PBR)#Embodied AI #Robotic Simulation #Image-to-3D #Foundation Model

2025년 10월 24일

[논문리뷰] Search Self-play: Pushing the Frontier of Agent Capability without Supervision

arXiv에 게시된 'Search Self-play: Pushing the Frontier of Agent Capability without Supervision' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Agents #Self-play #Reinforcement Learning #Search Agents #Supervision-Free Training #Retrieval-Augmented Generation (RAG)#Task Generation #Curriculum Learning

2025년 10월 24일

[논문리뷰] SAKE: Towards Editing Auditory Attribute Knowledge of Large Audio-Language Models

arXiv에 게시된 'SAKE: Towards Editing Auditory Attribute Knowledge of Large Audio-Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Knowledge Editing #Audio-Language Models #Auditory Attributes #Benchmark #Reliability #Generality #Locality #Portability

2025년 10월 24일