#Supervised Fine-tuning

55개의 포스트

[논문리뷰] OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis

arXiv에 게시된 'OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis' 논문에 대한 자세한 리뷰입니다.

#Review #Deep Research Agents #Long-Horizon Trajectories #Offline Trajectory Synthesis #Browser Primitives #Supervised Fine-tuning #Corpus Bootstrapping #Reproducible Pipeline

2026년 3월 23일

[논문리뷰] DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use

arXiv에 게시된 'DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic Task Synthesis #Diversity Scaling #Tool Use #Generalization #Reinforcement Learning #Supervised Fine-tuning

2026년 3월 12일

[논문리뷰] NaviDriveVLM: Decoupling High-Level Reasoning and Motion Planning for Autonomous Driving

arXiv에 게시된 'NaviDriveVLM: Decoupling High-Level Reasoning and Motion Planning for Autonomous Driving' 논문에 대한 자세한 리뷰입니다.

#Review #Autonomous Driving #Vision-Language Models #Motion Planning #High-Level Reasoning #Decoupled Architecture #Supervised Fine-tuning #NuScenes Benchmark

2026년 3월 9일

[논문리뷰] DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation

arXiv에 게시된 'DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic Systems #Presentation Generation #Large Language Models (LLMs)#Multimodal LLMs (MLLMs)#Environment-Grounded Reflection #Self-Correction #Dual-Agent Framework #Supervised Fine-tuning

2026년 3월 8일

[논문리뷰] When Does RL Help Medical VLMs? Disentangling Vision, SFT, and RL Gains

arXiv에 게시된 'When Does RL Help Medical VLMs? Disentangling Vision, SFT, and RL Gains' 논문에 대한 자세한 리뷰입니다.

#Review #Medical VLMs #Reinforcement Learning #Supervised Fine-tuning #Visual Question Answering #Multi-modality #Reasoning Capacity #MedMNIST

2026년 3월 2일

[논문리뷰] CoVe: Training Interactive Tool-Use Agents via Constraint-Guided Verification

Zichen Tian이 arXiv에 게시한 'CoVe: Training Interactive Tool-Use Agents via Constraint-Guided Verification' 논문에 대한 자세한 리뷰입니다.

#Review #Tool-Use Agents #Multi-turn Interaction #Data Synthesis #Constraint-Guided Verification #Large Language Models #Supervised Fine-tuning #Reinforcement Learning

2026년 3월 2일

[논문리뷰] GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL

arXiv에 게시된 'GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL' 논문에 대한 자세한 리뷰입니다.

#Review #GUI Agents #Reinforcement Learning #Supervised Fine-tuning #Visual Grounding #Long-Horizon Tasks #Partial Verifiability #KL Regularization #Data Curation

2026년 2월 25일

[논문리뷰] RLinf-Co: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models

arXiv에 게시된 'RLinf-Co: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Sim-to-Real #Co-training #VLA Models #Robotic Manipulation #Supervised Fine-tuning #Catastrophic Forgetting

2026년 2월 15일

[논문리뷰] SwimBird: Eliciting Switchable Reasoning Mode in Hybrid Autoregressive MLLMs

arXiv에 게시된 'SwimBird: Eliciting Switchable Reasoning Mode in Hybrid Autoregressive MLLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Large Language Models #Reasoning Modes #Hybrid Autoregressive #Latent Visual Reasoning #Dynamic Mode Selection #Supervised Fine-tuning #Vision-Language Tasks

2026년 2월 5일

[논문리뷰] SWE-World: Building Software Engineering Agents in Docker-Free Environments

arXiv에 게시된 'SWE-World: Building Software Engineering Agents in Docker-Free Environments' 논문에 대한 자세한 리뷰입니다.

#Review #Software Engineering Agents #LLM #Docker-Free #Execution Simulation #Reinforcement Learning #Supervised Fine-tuning #World Model

2026년 2월 3일

[논문리뷰] Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification

arXiv에 게시된 'Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Reasoning #Formal Verification #Neuro-Symbolic AI #Reinforcement Learning #Supervised Fine-tuning #Logic Consistency #Mathematical Reasoning

2026년 2월 1일

[논문리뷰] Typhoon-S: Minimal Open Post-Training for Sovereign Large Language Models

arXiv에 게시된 'Typhoon-S: Minimal Open Post-Training for Sovereign Large Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Sovereign LLMs #Post-Training #Instruction Tuning #Supervised Fine-tuning #On-Policy Distillation #Reinforcement Learning #Knowledge Injection #Thai Language

2026년 1월 29일

[논문리뷰] VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents

arXiv에 게시된 'VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Agents #Vision-Language Models (VLMs)#Interactive AI #Reinforcement Learning Environments #Benchmark #Decision-Making #Diagnostic Tools #Supervised Fine-tuning

2026년 1월 25일

[논문리뷰] Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification

arXiv에 게시된 'Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification' 논문에 대한 자세한 리뷰입니다.

#Review #Deep Research Agents #Inference-Time Verification #Self-Evolving LLM Agents #Rubric-Guided Feedback #Failure Taxonomy #Test-Time Scaling #Supervised Fine-tuning

2026년 1월 25일

[논문리뷰] Advances and Frontiers of LLM-based Issue Resolution in Software Engineering: A Comprehensive Survey

arXiv에 게시된 'Advances and Frontiers of LLM-based Issue Resolution in Software Engineering: A Comprehensive Survey' 논문에 대한 자세한 리뷰입니다.

#Review #LLM-based Issue Resolution #Software Engineering #Autonomous Agents #Code Generation #Benchmarking #Reinforcement Learning #Supervised Fine-tuning #Multimodal LLMs

2026년 1월 20일

[논문리뷰] TranslateGemma Technical Report

arXiv에 게시된 'TranslateGemma Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Machine Translation #Large Language Models #Reinforcement Learning #Supervised Fine-tuning #Gemma 3 #Multimodal AI #Synthetic Data

2026년 1월 14일

[논문리뷰] EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs

arXiv에 게시된 'EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Reasoning #Model Calibration #Epistemic Uncertainty #Self-Training #Supervised Fine-tuning #Confidence-Informed Self-Consistency #Model Collapse

2026년 1월 13일

[논문리뷰] Step-DeepResearch Technical Report

arXiv에 게시된 'Step-DeepResearch Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Deep Research Agents #LLMs #Reinforcement Learning #Supervised Fine-tuning #Agentic AI #Multi-hop Reasoning #Benchmarking #Cost-effectiveness

2025년 12월 23일

[논문리뷰] SpatialTree: How Spatial Abilities Branch Out in MLLMs

arXiv에 게시된 'SpatialTree: How Spatial Abilities Branch Out in MLLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Spatial Intelligence #Multimodal LLMs #Cognitive Hierarchy #Benchmark #Reinforcement Learning #Supervised Fine-tuning #Spatial Reasoning

2025년 12월 23일

[논문리뷰] GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning

Kaijun Tan이 arXiv에 게시한 'GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.

#Review #GUI Agents #Screen Navigation #Reinforcement Learning #Multi-Turn RL #Simulation #Supervised Fine-tuning #Generalization

2025년 12월 2일

[논문리뷰] From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

arXiv에 게시된 'From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence' 논문에 대한 자세한 리뷰입니다.

#Review #Code LLMs #Software Engineering Agents #Code Generation #Reinforcement Learning #Supervised Fine-tuning #Multimodal AI #Code Safety #Scaling Laws

2025년 12월 1일

[논문리뷰] SO-Bench: A Structural Output Evaluation of Multimodal LLMs

arXiv에 게시된 'SO-Bench: A Structural Output Evaluation of Multimodal LLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal LLMs #Structural Output #Information Extraction #JSON Schema #SO-Bench #Visual Reasoning #Supervised Fine-tuning #Reinforcement Learning

2025년 11월 30일

[논문리뷰] From Pixels to Feelings: Aligning MLLMs with Human Cognitive Perception of Images

Filippos Kokkinos이 arXiv에 게시한 'From Pixels to Feelings: Aligning MLLMs with Human Cognitive Perception of Images' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal LLM #Human Cognition #Image Perception #Benchmarking #Supervised Fine-tuning #Image Generation #Aesthetics #Memorability

2025년 11월 30일

[논문리뷰] OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe

arXiv에 게시된 'OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Reasoning #Large Multimodal Models #Supervised Fine-tuning #Reinforcement Learning #Data Curation #Open-source #Multimodal Benchmarks

2025년 11월 23일

[논문리뷰] Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks

Yiran Peng이 arXiv에 게시한 'Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks' 논문에 대한 자세한 리뷰입니다.

#Review #Video Models #Spatial Reasoning #Maze Solving #Video Generation #Benchmark #Supervised Fine-tuning #Test-Time Scaling #Multimodal Reasoning

2025년 11월 19일

[논문리뷰] Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation

Vladimir Arkhipkin이 arXiv에 게시한 'Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Image Generation #Video Generation #Diffusion Models #Flow Matching #Diffusion Transformer #NABLA #RLHF #Supervised Fine-tuning

2025년 11월 19일

[논문리뷰] Motif 2 12.7B technical report

arXiv에 게시된 'Motif 2 12.7B technical report' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Model #LLM Efficiency #Grouped Differential Attention #Kernel Fusion #Parallel Muon #Supervised Fine-tuning #Architectural Scaling #Instruction Following

2025년 11월 12일

[논문리뷰] Adapting Web Agents with Synthetic Supervision

Siwei Han이 arXiv에 게시한 'Adapting Web Agents with Synthetic Supervision' 논문에 대한 자세한 리뷰입니다.

#Review #Web Agents #Synthetic Data Generation #LLM #Task Refinement #Trajectory Refinement #Supervised Fine-tuning #Web Automation #Environment Adaptation

2025년 11월 12일

[논문리뷰] Grounding Computer Use Agents on Human Demonstrations

arXiv에 게시된 'Grounding Computer Use Agents on Human Demonstrations' 논문에 대한 자세한 리뷰입니다.

#Review #Computer Use Agents #UI Grounding #Desktop Applications #Human Demonstrations #Large-Scale Dataset #Vision-Language Models #Supervised Fine-tuning #Reinforcement Learning

2025년 11월 11일

[논문리뷰] DRIVE: Data Curation Best Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation

arXiv에 게시된 'DRIVE: Data Curation Best Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning with Verifiable Reward #Competitive Programming #Code Generation #Data Curation #Curriculum Learning #Supervised Fine-tuning #Entropy Expansion

2025년 11월 10일

[논문리뷰] DeepEyesV2: Toward Agentic Multimodal Model

Guohai Xu이 arXiv에 게시한 'DeepEyesV2: Toward Agentic Multimodal Model' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Multimodal Models #Tool Use #Reinforcement Learning #Supervised Fine-tuning #Multimodal Reasoning #Web Search #Code Execution

2025년 11월 9일

[논문리뷰] UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings

Jinsong Su이 arXiv에 게시한 'UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Embeddings #Generative AI #Reasoning #Reinforcement Learning #MLLMs #Supervised Fine-tuning #Information Retrieval #Unified Embeddings

2025년 11월 9일

[논문리뷰] Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning

arXiv에 게시된 'Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Conversational Recommender Systems #Large Language Models #Reinforcement Learning #Group Relative Policy Optimization #Rank-based Learning #Supervised Fine-tuning #Reward Shaping

2025년 11월 9일

[논문리뷰] Directional Reasoning Injection for Fine-Tuning MLLMs

Jialian Wu이 arXiv에 게시한 'Directional Reasoning Injection for Fine-Tuning MLLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal LLMs #Reasoning Transfer #Gradient-based Fine-tuning #Model Merging #Parameter-Efficient Learning #Supervised Fine-tuning #Directional Prior

2025년 10월 23일

[논문리뷰] UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Action

arXiv에 게시된 'UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Action' 논문에 대한 자세한 리뷰입니다.

#Review #Computer Use Agents #Hybrid Action #Foundation Models #Reinforcement Learning #Supervised Fine-tuning #Synthetic Data Generation #Tool Learning #GUI Automation

2025년 10월 21일

[논문리뷰] Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs

arXiv에 게시된 'Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Large Language Models #Data Curation #Supervised Fine-tuning #Chain-of-Thought #Open-source AI #Data Quality #MLLM Training

2025년 10월 16일

[논문리뷰] Detect Anything via Next Point Prediction

arXiv에 게시된 'Detect Anything via Next Point Prediction' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Large Language Models #Object Detection #Coordinate Prediction #Reinforcement Learning #Supervised Fine-tuning #Visual Perception #Zero-shot Learning #Spatial Reasoning

2025년 10월 15일

[논문리뷰] StreamingVLM: Real-Time Understanding for Infinite Video Streams

Kelly Peng이 arXiv에 게시한 'StreamingVLM: Real-Time Understanding for Infinite Video Streams' 논문에 대한 자세한 리뷰입니다.

#Review #Video Stream Understanding #Real-Time VLM #Attention Sink #KV Cache Management #Contiguous RoPE #Supervised Fine-tuning #Long-Context Video

2025년 10월 13일

[논문리뷰] A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Tasks

Fanchao Qi이 arXiv에 게시한 'A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Tasks' 논문에 대한 자세한 리뷰입니다.

#Review #Long-Horizon Tasks #LLM Agents #Global Planning #Reinforcement Learning #Supervised Fine-tuning #Homologous Consensus Filtering #Executor Capability Gain Reward #Plan-and-Execute

2025년 10월 13일

[논문리뷰] Search-R3: Unifying Reasoning and Embedding Generation in Large Language Models

James Cheng이 arXiv에 게시한 'Search-R3: Unifying Reasoning and Embedding Generation in Large Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Reinforcement Learning #Sentence Embedding #Retrieval-Augmented Generation #Chain-of-Thought #Information Retrieval #Supervised Fine-tuning

2025년 10월 10일

[논문리뷰] CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling

Chengpeng Li이 arXiv에 게시한 'CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling' 논문에 대한 자세한 리뷰입니다.

#Review #Large Reasoning Models #Optimization Modeling #Reflective Generation #Supervised Fine-tuning #Reinforcement Learning #Human-in-the-Loop #Code Generation #Domain Adaptation

2025년 10월 9일

[논문리뷰] TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning

arXiv에 게시된 'TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Process Reward Models #Tabular Reasoning #Test-Time Scaling #Tool Integration #Reinforcement Learning #Supervised Fine-tuning #Large Language Models #Data Curation

2025년 10월 8일

[논문리뷰] Judging with Confidence: Calibrating Autoraters to Preference Distributions

arXiv에 게시된 'Judging with Confidence: Calibrating Autoraters to Preference Distributions' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Autoraters #Calibration #Preference Distributions #Reinforcement Learning #Supervised Fine-tuning #Positional Bias

2025년 10월 7일

[논문리뷰] Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data

arXiv에 게시된 'Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Pretraining #Supervised Fine-tuning #Reasoning Data #Data Allocation #Diversity #Quality #Reinforcement Learning

2025년 10월 7일

[논문리뷰] PIPer: On-Device Environment Setup via Online Reinforcement Learning

arXiv에 게시된 'PIPer: On-Device Environment Setup via Online Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Environment Setup #LLMs #Reinforcement Learning #Supervised Fine-tuning #On-device AI #Software Engineering #Verifiable Rewards

2025년 10월 2일

[논문리뷰] Infusing Theory of Mind into Socially Intelligent LLM Agents

arXiv에 게시된 'Infusing Theory of Mind into Socially Intelligent LLM Agents' 논문에 대한 자세한 리뷰입니다.

#Review #Theory of Mind #Large Language Models #Social Agents #Dialogue Systems #Mental State Modeling #Look-ahead Planning #Supervised Fine-tuning #Sotopia Benchmark

2025년 10월 2일

[논문리뷰] Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents

arXiv에 게시된 'Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents' 논문에 대한 자세한 리뷰입니다.

#Review #GUI Agents #On-Device AI #Multimodal LLM #GUI Grounding #GUI Navigation #Reinforcement Learning #Supervised Fine-tuning #Synthetic Data

2025년 10월 1일

[논문리뷰] UniVid: Unifying Vision Tasks with Pre-trained Video Generation Models

Yuchao Gu이 arXiv에 게시한 'UniVid: Unifying Vision Tasks with Pre-trained Video Generation Models' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Vision Modeling #Video Generation #Diffusion Transformer #Supervised Fine-tuning #Cross-modal #Cross-source Tasks #Visual Sentences #LoRA

2025년 9월 29일

[논문리뷰] Mano Report

Minghui Wu이 arXiv에 게시한 'Mano Report' 논문에 대한 자세한 리뷰입니다.

#Review #GUI Agent #Multi-modal Foundation Model #Reinforcement Learning #Supervised Fine-tuning #Simulated Environment #Data Generation #Error Recovery #Web Automation

2025년 9월 23일

[논문리뷰] SAIL-VL2 Technical Report

Zijian Kang이 arXiv에 게시한 'SAIL-VL2 Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language Model #Multimodal Understanding #Mixture-of-Experts #Progressive Training #Data Curation #Supervised Fine-tuning #Reinforcement Learning #SAIL-ViT

2025년 9월 18일

[논문리뷰] Towards General Agentic Intelligence via Environment Scaling

Guangyu Li이 arXiv에 게시한 'Towards General Agentic Intelligence via Environment Scaling' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Environment Scaling #Function Calling #Tool Use #Large Language Models #Synthetic Data Generation #Supervised Fine-tuning

2025년 9월 17일

[논문리뷰] ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models

Jiangjie Chen이 arXiv에 게시한 'ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #LLMs #Controllable Reasoning #Computational Efficiency #Reinforcement Learning #Supervised Fine-tuning #Reasoning Compression #Budget-Aware Training

2025년 8월 27일

[논문리뷰] Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery

Di Zhang이 arXiv에 게시한 'Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery' 논문에 대한 자세한 리뷰입니다.

#Review #Molecule Discovery #Chain-of-Thought #Large Language Models #Reinforcement Learning #Supervised Fine-tuning #Molecular Generation #Explainable AI

2025년 8월 14일

[논문리뷰] Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization

Guanting Dong이 arXiv에 게시한 'Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization' 논문에 대한 자세한 리뷰입니다.

#Review #Reasoning LLMs #Reinforcement Learning #PPO #Gradient Clipping #Supervised Fine-tuning #Math Reasoning #Code Generation #Policy Optimization

2025년 8월 12일

[논문리뷰] Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following

Liang Xu이 arXiv에 게시한 'Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following' 논문에 대한 자세한 리뷰입니다.

#Review #LLMs #Instruction Following #Reasoning #Reinforcement Learning #Supervised Fine-tuning #Entropy Regularization #Self-Checking #Previewing

2025년 8월 7일