R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth? Paper • 2510.08189 • Published 23 days ago • 25
Better Process Supervision with Bi-directional Rewarding Signals Paper • 2503.04618 • Published Mar 6
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning Paper • 2509.08755 • Published Sep 10 • 56
VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-world Applications Paper • 2509.26490 • Published Sep 30 • 19
Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision Paper • 2411.16579 • Published Nov 25, 2024 • 3
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling Paper • 2411.00750 • Published Nov 1, 2024 • 1
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning Paper • 2402.05808 • Published Feb 8, 2024
Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation Paper • 2503.12854 • Published Mar 17
Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey Paper • 2308.01191 • Published Aug 2, 2023 • 1
The Rise and Potential of Large Language Model Based Agents: A Survey Paper • 2309.07864 • Published Sep 14, 2023 • 7
LongHeads: Multi-Head Attention is Secretly a Long Context Processor Paper • 2402.10685 • Published Feb 16, 2024 • 1
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration Paper • 2402.11550 • Published Feb 18, 2024 • 18
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments Paper • 2406.04151 • Published Jun 6, 2024 • 23
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models Paper • 2404.00884 • Published Apr 1, 2024
Distill Visual Chart Reasoning Ability from LLMs to MLLMs Paper • 2410.18798 • Published Oct 24, 2024 • 21