Xuezhi Wang

Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction AAAI 2025 Chain-of-Thought Reasoning Without Prompting NeurIPS 2024 FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation ACL 2024 Large Language Models as Optimizers ICLR 2024 Large Language Models as Tool Makers ICLR 2024 MSR-86K: An Evolving, Multilingual Corpus with 86,300 Hours of Transcribed Audio for Speech Recognition Research Interspeech 2024 Premise Order Matters in Reasoning with Large Language Models ICML 2024 Scaling Instruction-Finetuned Language Models JMLR 2024 Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints EACL 2023 Grammar Prompting for Domain-Specific Language Generation with Large Language Models NeurIPS 2023 Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation EMNLP 2023 Language models are multilingual chain-of-thought reasoners ICLR 2023 Large Language Models Can Self-Improve EMNLP 2023 Least-to-Most Prompting Enables Complex Reasoning in Large Language Models ICLR 2023 PaLM: Scaling Language Modeling with Pathways JMLR 2023 Recitation-Augmented Language Models ICLR 2023 Self-Consistency Improves Chain of Thought Reasoning in Language Models ICLR 2023 TEMPERA: Test-Time Prompt Editing via Reinforcement Learning ICLR 2023 UL2: Unifying Language Learning Paradigms ICLR 2023 Chain-of-Thought Prompting Elicits Reasoning in Large Language Models NeurIPS 2022 Continual Sequence Generation with Adaptive Compositional Modules ACL 2022 Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models NAACL 2022 Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers EMNLP 2022 Measure and Improve Robustness in NLP Models: A Survey NAACL 2022 Underspecification Presents Challenges for Credibility in Modern Machine Learning JMLR 2022 Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation NeurIPS 2022 Can We Improve Model Robustness through Secondary Attribute Counterfactuals? EMNLP 2021 Continual Learning for Text Classification with Information Disentanglement Based Regularization NAACL 2021 Improving Calibration through the Relationship with Adversarial Robustness NeurIPS 2021 CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation EMNLP 2020 Fairness without Demographics through Adversarially Reweighted Learning NeurIPS 2020 ToTTo: A Controlled Table-To-Text Generation Dataset EMNLP 2020 Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems IJCAI 2016 Active Transfer Learning under Model Shift ICML 2014 Flexible Transfer Learning under Support and Model Shift NeurIPS 2014