Models
Datasets
Spaces
Buckets new
Docs
Enterprise
Pricing
Log In
Sign Up

Collections

Discover the best community collections!

Collections including paper arxiv:2508.20931

PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning

Paper • 2508.21104 • Published Aug 28, 2025 • 37
T2R-bench: A Benchmark for Generating Article-Level Reports from Real World Industrial Tables

Paper • 2508.19813 • Published Aug 27, 2025 • 28
No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision Regimes

Paper • 2508.19060 • Published Aug 26, 2025 • 12
From reactive to cognitive: brain-inspired spatial intelligence for embodied agents

Paper • 2508.17198 • Published Aug 24, 2025 • 10

Provable Benefits of In-Tool Learning for Large Language Models

Paper • 2508.20755 • Published Aug 28, 2025 • 11
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Paper • 2509.02479 • Published Sep 2, 2025 • 84
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench

Paper • 2508.20931 • Published Aug 28, 2025 • 16
THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning

Paper • 2509.13761 • Published Sep 17, 2025 • 16

Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5, 2025 • 140
Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning

Paper • 2508.03501 • Published Aug 5, 2025 • 59
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

Paper • 2508.04700 • Published Aug 6, 2025 • 52
RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Lifelong Learning in Physical Embodied Systems

Paper • 2508.01415 • Published Aug 2, 2025 • 8

How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench

Paper • 2508.20931 • Published Aug 28, 2025 • 16

Provable Benefits of In-Tool Learning for Large Language Models

Paper • 2508.20755 • Published Aug 28, 2025 • 11
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28, 2025 • 63
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench

Paper • 2508.20931 • Published Aug 28, 2025 • 16
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

Paper • 2509.08755 • Published Sep 10, 2025 • 56

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 196 • 99
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 39
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 88

PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning

Paper • 2508.21104 • Published Aug 28, 2025 • 37
T2R-bench: A Benchmark for Generating Article-Level Reports from Real World Industrial Tables

Paper • 2508.19813 • Published Aug 27, 2025 • 28
No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision Regimes

Paper • 2508.19060 • Published Aug 26, 2025 • 12
From reactive to cognitive: brain-inspired spatial intelligence for embodied agents

Paper • 2508.17198 • Published Aug 24, 2025 • 10

How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench

Paper • 2508.20931 • Published Aug 28, 2025 • 16

Provable Benefits of In-Tool Learning for Large Language Models

Paper • 2508.20755 • Published Aug 28, 2025 • 11
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Paper • 2509.02479 • Published Sep 2, 2025 • 84
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench

Paper • 2508.20931 • Published Aug 28, 2025 • 16
THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning

Paper • 2509.13761 • Published Sep 17, 2025 • 16

Provable Benefits of In-Tool Learning for Large Language Models

Paper • 2508.20755 • Published Aug 28, 2025 • 11
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28, 2025 • 63
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench

Paper • 2508.20931 • Published Aug 28, 2025 • 16
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

Paper • 2509.08755 • Published Sep 10, 2025 • 56

Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5, 2025 • 140
Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning

Paper • 2508.03501 • Published Aug 5, 2025 • 59
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

Paper • 2508.04700 • Published Aug 6, 2025 • 52
RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Lifelong Learning in Physical Embodied Systems

Paper • 2508.01415 • Published Aug 2, 2025 • 8

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 196 • 99
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 39
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 88

Company

TOS Privacy About Careers

Website

Models Datasets Spaces Pricing Docs