Article 30 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 • 31 ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models Paper • 2505.24864 • Published May 30 • 133 OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation Paper • 2506.02397 • Published Jun 3 • 36
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models Paper • 2503.06749 • Published Mar 9 • 31
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models Paper • 2505.24864 • Published May 30 • 133
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation Paper • 2506.02397 • Published Jun 3 • 36
reading Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models Paper • 2503.06749 • Published Mar 9 • 31 ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models Paper • 2505.24864 • Published May 30 • 133 OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation Paper • 2506.02397 • Published Jun 3 • 36
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models Paper • 2503.06749 • Published Mar 9 • 31
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models Paper • 2505.24864 • Published May 30 • 133
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation Paper • 2506.02397 • Published Jun 3 • 36