Chen, Yangyi

Executable Code Actions Elicit Better LLM Agents

Wang, X., Chen, Y., Yuan, L., Zhang, Y., Li, Y., Peng, H., & Ji, H. (2024) · arXiv

AI-based Problem Solving and PlanningSoftware Engineering Research

Cited by 23

A Close Look into the Calibration of Pre-trained Language Models

Chen, Y., Yuan, L., Cui, G., Liu, Z., & Ji, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 22

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback

Wang, X., Wang, Z., Liu, J., Chen, Y., Yuan, L., Peng, H., & Ji, H. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 18

A Close Look into the Calibration of Pre-trained Language Models

Chen, Y., Yuan, L., Cui, G., Liu, Z., & Ji, H. (2022) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 18

CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Yuan, L., Chen, Y., Wang, X., Fung, Y. R., Peng, H., & Ji, H. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 11

Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations

Yuan, L., Chen, Y., Cui, G., Gao, H., Zou, F., Cheng, X., Ji, H., Liu, Z., & Sun, M. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 8

Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge

Liu, G., Wang, X., Yuan, L., Chen, Y., & Peng, H. (2023) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 0