[논문리뷰] Fantastic Pretraining Optimizers and Where to Find ThemPercy Liang이 arXiv에 게시한 'Fantastic Pretraining Optimizers and Where to Find Them' 논문에 대한 자세한 리뷰입니다.#Review#Deep Learning Optimizers#Large Language Models#Hyperparameter Tuning#Pretraining Speedup#Scaling Laws#AdamW#Matrix-based Optimizers#Data-to-Model Ratio2025년 9월 3일댓글 수 로딩 중
[논문리뷰] ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Long Video UnderstandingXuanyu Zheng이 arXiv에 게시한 'ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Long Video Understanding' 논문에 대한 자세한 리뷰입니다.#Review#Long Video Understanding#Hallucination#Semantic Aggregation#Video MLLM#Benchmark#DPO#Positional Encoding#VideoQA2025년 9월 3일댓글 수 로딩 중
[논문리뷰] Discrete Noise Inversion for Next-scale Autoregressive Text-based Image EditingAmin Heyrani Nobar이 arXiv에 게시한 'Discrete Noise Inversion for Next-scale Autoregressive Text-based Image Editing' 논문에 대한 자세한 리뷰입니다.#Review#Image Editing#Autoregressive Models#Noise Inversion#Text-to-Image#Gumbel-max Trick#Training-free#Location-aware Argmax Inversion2025년 9월 3일댓글 수 로딩 중
[논문리뷰] DCPO: Dynamic Clipping Policy OptimizationKai Lu이 arXiv에 게시한 'DCPO: Dynamic Clipping Policy Optimization' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#LLM#Policy Optimization#Dynamic Clipping#Advantage Standardization#RLVR#Reasoning2025년 9월 3일댓글 수 로딩 중
[논문리뷰] C-DiffDet+: Fusing Global Scene Context with Generative Denoising for High-Fidelity Object DetectionVito Renó이 arXiv에 게시한 'C-DiffDet+: Fusing Global Scene Context with Generative Denoising for High-Fidelity Object Detection' 논문에 대한 자세한 리뷰입니다.#Review#Object Detection#Diffusion Model#Global Scene Context#Context-Aware Fusion#Fine-grained Detection#Automotive Damage Assessment#Generative Denoising#Cross-Attention2025년 9월 3일댓글 수 로딩 중
[논문리뷰] Benchmarking Optimizers for Large Language Model Pretrainingmjaggi이 arXiv에 게시한 'Benchmarking Optimizers for Large Language Model Pretraining' 논문에 대한 자세한 리뷰입니다.#Review#LLM Optimizers#Benchmarking#Hyperparameter Tuning#AdamW#AdEMAMix#MARS#Mixture of Experts (MoE)#Weight Decay2025년 9월 3일댓글 수 로딩 중
[논문리뷰] Baichuan-M2: Scaling Medical Capability with Large Verifier SystemJayok6이 arXiv에 게시한 'Baichuan-M2: Scaling Medical Capability with Large Verifier System' 논문에 대한 자세한 리뷰입니다.#Review#Medical AI#LLM#Reinforcement Learning#Verifier System#Patient Simulator#Clinical Rubrics#Baichuan-M2#HealthBench2025년 9월 3일댓글 수 로딩 중
[논문리뷰] Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data GenerationXiaolei Huang이 arXiv에 게시한 'Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation' 논문에 대한 자세한 리뷰입니다.#Review#Synthetic Data Generation#Large Language Models (LLMs)#Genetic Algorithms#Textual Data Augmentation#Active Learning#NLP#Data Diversity2025년 9월 3일댓글 수 로딩 중
[논문리뷰] AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language ModelsRahul Karthikeyan이 arXiv에 게시한 'AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models' 논문에 대한 자세한 리뷰입니다.#Review#Bias Mitigation#Large Language Models#Speculative Decoding#Constitutional AI#Fairness#Inference-Time Control#Indian Sociocultural Context2025년 9월 3일댓글 수 로딩 중
[논문리뷰] UI-Level Evaluation of ALLaM 34B: Measuring an Arabic-Centric LLM via HUMAIN ChatOmartificial-Intelligence-Space이 arXiv에 게시한 'UI-Level Evaluation of ALLaM 34B: Measuring an Arabic-Centric LLM via HUMAIN Chat' 논문에 대한 자세한 리뷰입니다.#Review#Arabic LLM#UI-level Evaluation#ALLaM 34B#HUMAIN Chat#Dialectal Arabic#LLM as a Judge#Safety Evaluation2025년 9월 2일댓글 수 로딩 중
[논문리뷰] T2R-bench: A Benchmark for Generating Article-Level Reports from Real World Industrial TablesYu Zhao이 arXiv에 게시한 'T2R-bench: A Benchmark for Generating Article-Level Reports from Real World Industrial Tables' 논문에 대한 자세한 리뷰입니다.#Review#Table-to-Report Generation#Large Language Models (LLMs)#Benchmark Dataset#Industrial Applications#Table Reasoning#Evaluation Metrics#Real-world Data2025년 9월 2일댓글 수 로딩 중
[논문리뷰] PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic ReasoningYuewei Zhang이 arXiv에 게시한 'PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Critic-Free RL#Agentic Reasoning#Policy Optimization#Large Language Models (LLMs)#Advantage Estimation#Group Sampling#Static Value Estimation2025년 9월 2일댓글 수 로딩 중
[논문리뷰] No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision RegimesDanijel Skočaj이 arXiv에 게시한 'No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision Regimes' 논문에 대한 자세한 리뷰입니다.#Review#Surface Defect Detection#Anomaly Detection#Mixed Supervision#Deep Learning#Industrial Inspection#Unified Model2025년 9월 2일댓글 수 로딩 중
[논문리뷰] How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-benchJayanth Srinivasa이 arXiv에 게시한 'How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench' 논문에 대한 자세한 리뷰입니다.#Review#LLM Agents#Tool Use#Function Calling#Input Reformulation#Dynamic Environments#τ-bench#Context Engineering#Multi-Agent Framework2025년 9월 2일댓글 수 로딩 중
[논문리뷰] From reactive to cognitive: brain-inspired spatial intelligence for embodied agentsSongming Liu이 arXiv에 게시한 'From reactive to cognitive: brain-inspired spatial intelligence for embodied agents' 논문에 대한 자세한 리뷰입니다.#Review#Spatial Cognition#Embodied Agents#Brain-inspired AI#Cognitive Map#Spatial Memory#MLLMs#Navigation2025년 9월 2일댓글 수 로딩 중
[논문리뷰] UItron: Foundational GUI Agent with Advanced Perception and PlanningYufeng Zhong이 arXiv에 게시한 'UItron: Foundational GUI Agent with Advanced Perception and Planning' 논문에 대한 자세한 리뷰입니다.#Review#GUI Agent#Foundational Model#Multimodal LLM#Perception#Planning#Reinforcement Learning#Data Engineering#Chinese App Scenarios2025년 9월 1일댓글 수 로딩 중
[논문리뷰] TiKMiX: Take Data Influence into Dynamic Mixture for Language Model Pre-trainingJiyao Deng이 arXiv에 게시한 'TiKMiX: Take Data Influence into Dynamic Mixture for Language Model Pre-training' 논문에 대한 자세한 리뷰입니다.#Review#Language Model Pre-training#Dynamic Data Mixing#Data Influence#Group Influence#Optimization#Regression Model#LLM Training2025년 9월 1일댓글 수 로딩 중
[논문리뷰] Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language ModelsYifan Lu이 arXiv에 게시한 'Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models' 논문에 대한 자세한 리뷰입니다.#Review#Large Language Models#Reinforcement Learning#Game AI#Procedural Knowledge#Declarative Knowledge#Explainable AI#Strategic Decision-Making2025년 9월 1일댓글 수 로딩 중
[논문리뷰] TalkVid: A Large-Scale Diversified Dataset for Audio-Driven Talking Head SynthesisPengcheng Chen이 arXiv에 게시한 'TalkVid: A Large-Scale Diversified Dataset for Audio-Driven Talking Head Synthesis' 논문에 대한 자세한 리뷰입니다.#Review#Audio-Driven Talking Head Synthesis#Large-Scale Dataset#Data Diversity#Data Curation#Evaluation Benchmark#Generalization Gap#Algorithmic Fairness2025년 9월 1일댓글 수 로딩 중
[논문리뷰] R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce LearningHan Hu이 arXiv에 게시한 'R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning' 논문에 대한 자세한 리뷰입니다.#Review#Multimodal Large Language Models (MLLMs)#Auto-Thinking#Reinforcement Learning (RL)#Bi-mode Annealing#Bi-mode Policy Optimization (BPO)#General-Purpose AI#Reasoning#Efficiency2025년 9월 1일댓글 수 로딩 중