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Boshi Wang
Boshi Wang
Verified email at buckeyemail.osu.edu - Homepage
Title
Cited by
Cited by
Year
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
B Wang, S Min, X Deng, J Shen, Y Wu, L Zettlemoyer, H Sun
arXiv preprint arXiv:2212.10001, 2022
101*2022
Mind2web: Towards a generalist agent for the web
X Deng, Y Gu, B Zheng, S Chen, S Stevens, B Wang, H Sun, Y Su
Advances in Neural Information Processing Systems 36, 2024
942024
Iteratively prompt pre-trained language models for chain of thought
B Wang, X Deng, H Sun
arXiv preprint arXiv:2203.08383, 2022
78*2022
Automatic evaluation of attribution by large language models
X Yue, B Wang, K Zhang, Z Chen, Y Su, H Sun
arXiv preprint arXiv:2305.06311, 2023
472023
Can ChatGPT defend its belief in truth? evaluating LLM reasoning via debate
B Wang, X Yue, H Sun
Findings of the Association for Computational Linguistics: EMNLP 2023, 11865 …, 2023
19*2023
Homomorphic sensing: Sparsity and noise
L Peng, B Wang, M Tsakiris
International Conference on Machine Learning, 8464-8475, 2021
132021
Designing context-sensitive norm inverse reinforcement learning framework for norm-compliant autonomous agents
Y Guo, B Wang, D Hughes, M Lewis, K Sycara
2020 29th IEEE International Conference on Robot and Human Interactive …, 2020
62020
How trustworthy are open-source llms? an assessment under malicious demonstrations shows their vulnerabilities
L Mo, B Wang, M Chen, H Sun
arXiv preprint arXiv:2311.09447, 2023
52023
Predictive Job Scheduling under Uncertain Constraints in Cloud Computing.
H Dong, B Wang, B Qiao, W Xing, C Luo, S Qin, Q Lin, D Zhang, G Virdi, ...
IJCAI, 3627-3634, 2021
32021
A retrieve-and-read framework for knowledge graph link prediction
V Pahuja, B Wang, H Latapie, J Srinivasa, Y Su
Proceedings of the 32nd ACM International Conference on Information and …, 2023
22023
Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
B Wang, J Yi, H Dong, B Qiao, C Luo, Q Lin
International Conference on Learning Representations, 2021
12021
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
B Wang, H Fang, J Eisner, B Van Durme, Y Su
arXiv preprint arXiv:2403.04746, 2024
2024
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Articles 1–12