Xuezhi Wang
35 papers · 2014–2025 · 11 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (11) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (11)
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Interdisciplinary Bridge
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Keyword Pioneer
🐣
Hot Topic Early Bird
📛
The Namer
🤝
Dynamic Duo
(14)
👑
Triple Crown
🏆
Grand Slam
👥
Mega-Team
(67)
🏆
Keyword Champion
(2)
💎
Century Club
(35)
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Prolific Year
(7)
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The Questioner
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Unstoppable
(6)
🗃️
Keyword Collector
(104)
Conferences
ICLR (8)
NIPS (7)
EMNLP (6)
JMLR (3)
NAACL (3)
ACL (2)
ICML (2)
AAAI (1)
EACL (1)
IJCAI (1)
INTERSPEECH (1)
Top co-authors
Research topics
Keywords
model robustness
(5)
large language model
(5)
transfer learning
(3)
few-shot learning
(3)
domain adaptation
(3)
text classification
(3)
representation learning
(2)
continual learning
(2)
spurious correlation
(2)
controlled generation
(2)
distribution shift
(2)
adversarial learning
(2)
prompt engineering
(2)
adversarial robustness
(2)
model shift
(2)
counterfactual data augmentation
(2)
ensemble learning
(1)
catastrophic forgetting
(1)
domain generalization
(1)
transformer architecture
(1)
Papers
Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction
AAAI 2025
Premise Order Matters in Reasoning with Large Language Models
ICML 2024
Large Language Models as Optimizers
ICLR 2024
Chain-of-Thought Reasoning Without Prompting
NIPS 2024
Scaling Instruction-Finetuned Language Models
JMLR 2024
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
ACL 2024
MSR-86K: An Evolving, Multilingual Corpus with 86,300 Hours of Transcribed Audio for Speech Recognition Research
INTERSPEECH 2024
Large Language Models as Tool Makers
ICLR 2024
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation
EMNLP 2023
UL2: Unifying Language Learning Paradigms
ICLR 2023
Recitation-Augmented Language Models
ICLR 2023
Language models are multilingual chain-of-thought reasoners
ICLR 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models
ICLR 2023
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
ICLR 2023
TEMPERA: Test-Time Prompt Editing via Reinforcement Learning
ICLR 2023
Grammar Prompting for Domain-Specific Language Generation with Large Language Models
NIPS 2023
Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints
EACL 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
Large Language Models Can Self-Improve
EMNLP 2023
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
NAACL 2022
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
NIPS 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
NIPS 2022
Continual Sequence Generation with Adaptive Compositional Modules
ACL 2022
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers
EMNLP 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
Measure and Improve Robustness in NLP Models: A Survey
NAACL 2022
Continual Learning for Text Classification with Information Disentanglement Based Regularization
NAACL 2021
Improving Calibration through the Relationship with Adversarial Robustness
NIPS 2021
Can We Improve Model Robustness through Secondary Attribute Counterfactuals?
EMNLP 2021
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
EMNLP 2020
ToTTo: A Controlled Table-To-Text Generation Dataset
EMNLP 2020
Fairness without Demographics through Adversarially Reweighted Learning
NIPS 2020
Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems
IJCAI 2016
Flexible Transfer Learning under Support and Model Shift
NIPS 2014
Active Transfer Learning under Model Shift
ICML 2014