Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning Paper • 2510.24320 • Published 17 days ago • 18
WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents Paper • 2509.06501 • Published Sep 8 • 78
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention Paper • 2506.13585 • Published Jun 16 • 270
Is Extending Modality The Right Path Towards Omni-Modality? Paper • 2506.01872 • Published Jun 2 • 23
ARIA: Training Language Agents with Intention-Driven Reward Aggregation Paper • 2506.00539 • Published May 31 • 30
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles Paper • 2505.19914 • Published May 26 • 43
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles Paper • 2505.19914 • Published May 26 • 43
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles Paper • 2505.19914 • Published May 26 • 43 • 1
Implicit Reasoning in Transformers is Reasoning through Shortcuts Paper • 2503.07604 • Published Mar 10 • 23
CoSER: Coordinating LLM-Based Persona Simulation of Established Roles Paper • 2502.09082 • Published Feb 13 • 30
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training Paper • 2501.11425 • Published Jan 20 • 109
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
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use Paper • 2501.02506 • Published Jan 5 • 11
Revealing the Barriers of Language Agents in Planning Paper • 2410.12409 • Published Oct 16, 2024 • 27
VidEgoThink: Assessing Egocentric Video Understanding Capabilities for Embodied AI Paper • 2410.11623 • Published Oct 15, 2024 • 49