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Collections including paper arxiv:2503.04625

RLMs (Reasoning Language Models)

about 24 hours ago

LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Paper • 2503.00735 • Published 12 days ago • 18
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published 7 days ago • 83
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Paper • 2503.05592 • Published 6 days ago • 24
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcing Learning

Paper • 2503.05379 • Published 6 days ago • 26

On Domain-Specific Post-Training for Multimodal Large Language Models

Paper • 2411.19930 • Published Nov 29, 2024 • 27
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published 7 days ago • 83
Union of Experts: Adapting Hierarchical Routing to Equivalently Decomposed Transformer

Paper • 2503.02495 • Published 9 days ago • 8
Fine-Tuning Small Language Models for Domain-Specific AI: An Edge AI Perspective

Paper • 2503.01933 • Published 11 days ago • 11

Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching

Paper • 2503.05179 • Published 7 days ago • 42
SafeArena: Evaluating the Safety of Autonomous Web Agents

Paper • 2503.04957 • Published 7 days ago • 18
Learning from Failures in Multi-Attempt Reinforcement Learning

Paper • 2503.04808 • Published 10 days ago • 16
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published 7 days ago • 83

START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published 7 days ago • 83
Towards an AI co-scientist

Paper • 2502.18864 • Published 16 days ago • 42
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published 16 days ago • 68
MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Paper • 2502.14499 • Published 21 days ago • 179

about 17 hours ago

START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published 7 days ago • 83
LLMVoX: Autoregressive Streaming Text-to-Speech Model for Any LLM

Paper • 2503.04724 • Published 7 days ago • 59
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Paper • 2503.07536 • Published 3 days ago • 67
Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Paper • 2503.07572 • Published 3 days ago • 26

about 6 hours ago

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Paper • 2502.14768 • Published 21 days ago • 45
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning

Paper • 2502.12853 • Published 23 days ago • 28
Diverse Inference and Verification for Advanced Reasoning

Paper • 2502.09955 • Published 28 days ago • 17
Distillation Scaling Laws

Paper • 2502.08606 • Published 29 days ago • 46

Reasoning Models

about 16 hours ago

Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Paper • 2501.18585 • Published Jan 30 • 56
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!

Paper • 2502.07374 • Published about 1 month ago • 36
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Paper • 2502.06703 • Published Feb 10 • 142
S*: Test Time Scaling for Code Generation

Paper • 2502.14382 • Published 21 days ago • 60

RL+reason model

about 11 hours ago

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 25
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 26
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 108
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17 • 106
ProcessBench: Identifying Process Errors in Mathematical Reasoning

Paper • 2412.06559 • Published Dec 9, 2024 • 80
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling

Paper • 2412.15084 • Published Dec 19, 2024 • 13
The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published Jan 13 • 92

about 7 hours ago

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 58
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 42
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 57

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