"chain-of-thought prompting" Papers
11 papers found
Language Models Can Predict Their Own Behavior
Dhananjay Ashok, Jonathan May
NeurIPS 2025posterarXiv:2502.13329
5
citations
LLM Strategic Reasoning: Agentic Study through Behavioral Game Theory
Jingru Jia, Zehua Yuan, Junhao Pan et al.
NeurIPS 2025oralarXiv:2502.20432
7
citations
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Zayne Sprague, Fangcong Yin, Juan Rodriguez et al.
ICLR 2025posterarXiv:2409.12183
239
citations
Unlabeled Data Can Provably Enhance In-Context Learning of Transformers
Renpu Liu, Jing Yang
NeurIPS 2025posterarXiv:2601.10058
1
citations
Get an A in Math: Progressive Rectification Prompting
Zhenyu Wu, Meng Jiang, Chao Shen
AAAI 2024paperarXiv:2312.06867
15
citations
How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?
Ryan Liu, Theodore R Sumers, Ishita Dasgupta et al.
ICML 2024poster
How Language Model Hallucinations Can Snowball
Muru Zhang, Ofir Press, William Merrill et al.
ICML 2024poster
Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution
Chrisantha Fernando, Dylan Banarse, Henryk Michalewski et al.
ICML 2024poster
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic
ICML 2024poster
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting
Lei Shu, Liangchen Luo, Jayakumar Hoskere et al.
AAAI 2024paperarXiv:2305.15685
76
citations
StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation
Weike Fang, Zhejian Zhou, Junzhou He et al.
ICML 2024spotlight