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Collections including paper arXiv:2502.19328

Personalize Anything for Free with Diffusion Transformer

Paper • 2503.12590 • Published Mar 16 • 44
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Paper • 2503.12937 • Published Mar 17 • 30
Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks

Paper • 2503.11514 • Published Mar 13 • 18
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems

Paper • 2502.19328 • Published Feb 26 • 23

Reasoning, Thinking, RL and Test-Time Scaling

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 66
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering

Paper • 2411.11504 • Published Nov 18, 2024 • 23
Auto-Evolve: Enhancing Large Language Model's Performance via Self-Reasoning Framework

Paper • 2410.06328 • Published Oct 8, 2024 • 2
Critical Tokens Matter: Token-Level Contrastive Estimation Enhence LLM's Reasoning Capability

Paper • 2411.19943 • Published Nov 29, 2024 • 63

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Paper • 2412.14161 • Published Dec 18, 2024 • 51
Training Software Engineering Agents and Verifiers with SWE-Gym

Paper • 2412.21139 • Published Dec 30, 2024 • 24
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis

Paper • 2412.19723 • Published Dec 27, 2024 • 87
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Paper • 2408.00764 • Published Aug 1, 2024 • 1

RL/RL-like methods

Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems

Paper • 2502.19328 • Published Feb 26 • 23
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 75
Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids

Paper • 2502.20396 • Published Feb 27 • 15
Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 84

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models

Paper • 2412.11605 • Published Dec 16, 2024 • 18
Byte Latent Transformer: Patches Scale Better Than Tokens

Paper • 2412.09871 • Published Dec 13, 2024 • 108
Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization

Paper • 2412.17739 • Published Dec 23, 2024 • 41
SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval

Paper • 2412.15443 • Published Dec 19, 2024 • 10

Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems

Paper • 2407.01370 • Published Jul 1, 2024 • 89
MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Paper • 2502.14499 • Published Feb 20 • 192
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Paper • 2502.14786 • Published Feb 20 • 154
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Paper • 2502.14768 • Published Feb 20 • 47

Personalize Anything for Free with Diffusion Transformer

Paper • 2503.12590 • Published Mar 16 • 44
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Paper • 2503.12937 • Published Mar 17 • 30
Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks

Paper • 2503.11514 • Published Mar 13 • 18
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems

Paper • 2502.19328 • Published Feb 26 • 23

RL/RL-like methods

Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems

Paper • 2502.19328 • Published Feb 26 • 23
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25 • 75
Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids

Paper • 2502.20396 • Published Feb 27 • 15
Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 84

Reasoning, Thinking, RL and Test-Time Scaling

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models

Paper • 2412.11605 • Published Dec 16, 2024 • 18
Byte Latent Transformer: Patches Scale Better Than Tokens

Paper • 2412.09871 • Published Dec 13, 2024 • 108
Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization

Paper • 2412.17739 • Published Dec 23, 2024 • 41
SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval

Paper • 2412.15443 • Published Dec 19, 2024 • 10

Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 66
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering

Paper • 2411.11504 • Published Nov 18, 2024 • 23
Auto-Evolve: Enhancing Large Language Model's Performance via Self-Reasoning Framework

Paper • 2410.06328 • Published Oct 8, 2024 • 2
Critical Tokens Matter: Token-Level Contrastive Estimation Enhence LLM's Reasoning Capability

Paper • 2411.19943 • Published Nov 29, 2024 • 63

Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems

Paper • 2407.01370 • Published Jul 1, 2024 • 89
MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Paper • 2502.14499 • Published Feb 20 • 192
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Paper • 2502.14786 • Published Feb 20 • 154
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Paper • 2502.14768 • Published Feb 20 • 47

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Paper • 2412.14161 • Published Dec 18, 2024 • 51
Training Software Engineering Agents and Verifiers with SWE-Gym

Paper • 2412.21139 • Published Dec 30, 2024 • 24
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis

Paper • 2412.19723 • Published Dec 27, 2024 • 87
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Paper • 2408.00764 • Published Aug 1, 2024 • 1

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