-
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
Paper • 2509.09674 • Published • 80 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 189 -
QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs
Paper • 2510.11696 • Published • 176
Collections
Discover the best community collections!
Collections including paper arxiv:2509.08827
-
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
Paper • 2508.21148 • Published • 140 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 189 -
Architecture Decoupling Is Not All You Need For Unified Multimodal Model
Paper • 2511.22663 • Published • 28
-
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 18 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
-
Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 70 -
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Paper • 2509.03403 • Published • 22 -
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Paper • 2509.03405 • Published • 23 -
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
Paper • 2509.00930 • Published • 4
-
PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning
Paper • 2508.21104 • Published • 35 -
FNet: Mixing Tokens with Fourier Transforms
Paper • 2105.03824 • Published • 1 -
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
Paper • 2509.02479 • Published • 83 -
RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28
-
DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 86 -
BM25S: Orders of magnitude faster lexical search via eager sparse scoring
Paper • 2407.03618 • Published • 13 -
Deep Think with Confidence
Paper • 2508.15260 • Published • 88 -
R-Zero: Self-Evolving Reasoning LLM from Zero Data
Paper • 2508.05004 • Published • 130
-
Tool-integrated Reinforcement Learning for Repo Deep Search
Paper • 2508.03012 • Published • 20 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 121 -
Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents
Paper • 2509.09265 • Published • 46 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 189
-
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
Paper • 2509.09674 • Published • 80 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 189 -
QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs
Paper • 2510.11696 • Published • 176
-
Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 70 -
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Paper • 2509.03403 • Published • 22 -
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Paper • 2509.03405 • Published • 23 -
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
Paper • 2509.00930 • Published • 4
-
PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning
Paper • 2508.21104 • Published • 35 -
FNet: Mixing Tokens with Fourier Transforms
Paper • 2105.03824 • Published • 1 -
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
Paper • 2509.02479 • Published • 83 -
RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28
-
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
Paper • 2508.21148 • Published • 140 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 189 -
Architecture Decoupling Is Not All You Need For Unified Multimodal Model
Paper • 2511.22663 • Published • 28
-
DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 86 -
BM25S: Orders of magnitude faster lexical search via eager sparse scoring
Paper • 2407.03618 • Published • 13 -
Deep Think with Confidence
Paper • 2508.15260 • Published • 88 -
R-Zero: Self-Evolving Reasoning LLM from Zero Data
Paper • 2508.05004 • Published • 130
-
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 18 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
-
Tool-integrated Reinforcement Learning for Repo Deep Search
Paper • 2508.03012 • Published • 20 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 121 -
Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents
Paper • 2509.09265 • Published • 46 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 189