Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Paper • 2412.21187 • Published Dec 30, 2024 • 40
OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas Paper • 2501.15427 • Published Jan 26 • 6
Improving LLM General Preference Alignment via Optimistic Online Mirror Descent Paper • 2502.16852 • Published 18 days ago
Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs Paper • 2501.18585 • Published Jan 30 • 56
Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs Paper • 2501.18585 • Published Jan 30 • 56
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Paper • 2412.21187 • Published Dec 30, 2024 • 40
DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search Paper • 2410.03864 • Published Oct 4, 2024 • 12
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning Paper • 2407.00617 • Published Jun 30, 2024 • 7
Scaling Synthetic Data Creation with 1,000,000,000 Personas Paper • 2406.20094 • Published Jun 28, 2024 • 97
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning Paper • 2407.00617 • Published Jun 30, 2024 • 7
Scaling Synthetic Data Creation with 1,000,000,000 Personas Paper • 2406.20094 • Published Jun 28, 2024 • 97
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension Paper • 1902.00164 • Published Feb 1, 2019
Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension Paper • 1904.09679 • Published Apr 21, 2019
CLUE: A Chinese Language Understanding Evaluation Benchmark Paper • 2004.05986 • Published Apr 13, 2020
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models Paper • 2308.00304 • Published Aug 1, 2023 • 23