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
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping Paper • 2510.18927 • Published Oct 21 • 83
Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction Paper • 2512.04987 • Published 4 days ago • 68
Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction Paper • 2512.04987 • Published 4 days ago • 68
Pre-Trained Policy Discriminators are General Reward Models Paper • 2507.05197 • Published Jul 7 • 39
BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset Paper • 2507.03483 • Published Jul 4 • 23
The Rise and Potential of Large Language Model Based Agents: A Survey Paper • 2309.07864 • Published Sep 14, 2023 • 7
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning Paper • 2402.05808 • Published Feb 8, 2024
DuoDecoding: Hardware-aware Heterogeneous Speculative Decoding with Dynamic Multi-Sequence Drafting Paper • 2503.00784 • Published Mar 2 • 13
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning Paper • 2402.05808 • Published Feb 8, 2024
CritiQ: Mining Data Quality Criteria from Human Preferences Paper • 2502.19279 • Published Feb 26 • 10
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training Paper • 2501.11425 • Published Jan 20 • 109
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use Paper • 2501.02506 • Published Jan 5 • 11
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models Paper • 2310.06762 • Published Oct 10, 2023 • 2