Let's Verify Step by Step
arxiv.org · 8,213 words · saved by 1 readers
N/A
Let’s Verify Step by Step Hunter Lightman∗ Vineet Kosaraju∗ Yura Burda∗ Harri Edwards arXiv:2305.20050v1 [cs.LG] 31 May 2023 Bowen Baker Teddy Lee Jan Leike John Schulman Ilya Sutskever Karl Cobbe∗ OpenAI Abstract…
saved by
related reading
- [2211.14275] Solving math word problems with process- and outcome-based feedbackarxiv.org
- Oversight Assistants: Turning Compute into Understandingbounded-regret.ghost.io
- [2201.11903] Chain of Thought Prompting Elicits Reasoning in Large Language Modelsarxiv.org
- [2510.13786] The Art of Scaling Reinforcement Learning Compute for LLMsarxiv.org
- [2604.22082] Removing Sandbagging in LLMs by Training with Weak Supervisionarxiv.org
- [2203.02155] Training language models to follow instructions with human feedbackarxiv.org
- Can activation verbalizers surface an internal chain of thought? — LessWronglesswrong.com
- Reasoning in General Domains without Verifiersarxiv.org
- VRPRM: Process Reward Modeling via Visual Reasoningarxiv.org
- [2504.13837] Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?arxiv.org
- Reasoning Models Reason Well, Until They Don'tarxiv.org
- Training language models to follow instructions with human feedback.pdfproceedings.neurips.cc