Article 28 The Hallucinations Leaderboard, an Open Effort to Measure Hallucinations in Large Language Models
reading Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models Paper • 2503.06749 • Published Mar 9 • 30 ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models Paper • 2505.24864 • Published May 30 • 132 OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation Paper • 2506.02397 • Published 28 days ago • 36
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models Paper • 2503.06749 • Published Mar 9 • 30
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models Paper • 2505.24864 • Published May 30 • 132
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation Paper • 2506.02397 • Published 28 days ago • 36
reading Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models Paper • 2503.06749 • Published Mar 9 • 30 ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models Paper • 2505.24864 • Published May 30 • 132 OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation Paper • 2506.02397 • Published 28 days ago • 36
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models Paper • 2503.06749 • Published Mar 9 • 30
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models Paper • 2505.24864 • Published May 30 • 132
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation Paper • 2506.02397 • Published 28 days ago • 36