Poster "chain-of-thought prompting" Papers
15 papers found
Conference
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
Yutong Yin, Zhaoran Wang
ICLR 2025arXiv:2501.15857
2
citations
Competing Large Language Models in Multi-Agent Gaming Environments
Jen-Tse Huang, Eric John Li, Man Ho LAM et al.
ICLR 2025
28
citations
Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps
Haibo Jin, Peiyan Zhang, Man Luo et al.
NEURIPS 2025
Language-Image Models with 3D Understanding
Jang Hyun Cho, Boris Ivanovic, Yulong Cao et al.
ICLR 2025arXiv:2405.03685
27
citations
Language Models Can Predict Their Own Behavior
Dhananjay Ashok, Jonathan May
NEURIPS 2025arXiv:2502.13329
5
citations
Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation
Chengwen Qi, Ren Ma, Bowen Li et al.
ICLR 2025arXiv:2502.06563
25
citations
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Nikola Zubic, Federico Soldà, Aurelio Sulser et al.
ICLR 2025arXiv:2405.16674
18
citations
RNNs are not Transformers (Yet): The Key Bottleneck on In-Context Retrieval
Kaiyue Wen, Xingyu Dang, Kaifeng Lyu
ICLR 2025arXiv:2402.18510
51
citations
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models
Haotian Xia, Zhengbang Yang, Junbo Zou et al.
ICLR 2025arXiv:2410.08474
14
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 2025arXiv:2409.12183
250
citations
Unlabeled Data Can Provably Enhance In-Context Learning of Transformers
Renpu Liu, Jing Yang
NEURIPS 2025arXiv:2601.10058
1
citations
How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?
Ryan Liu, Theodore R Sumers, Ishita Dasgupta et al.
ICML 2024arXiv:2402.07282
28
citations
How Language Model Hallucinations Can Snowball
Muru Zhang, Ofir Press, William Merrill et al.
ICML 2024arXiv:2305.13534
378
citations
Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution
Chrisantha Fernando, Dylan Banarse, Henryk Michalewski et al.
ICML 2024arXiv:2309.16797
364
citations
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic
ICML 2024arXiv:2305.09993
47
citations