Jieyu Zhao

DDSF: Robust Few-Shot Learning via Disentangled Subspaces with Determinantal Point Process CVPR 2026 GRAVITY: A Framework for Personalized Text Generation via Profile-Grounded Synthetic Preferences EACL 2026 Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society ACL 2026 MED-COPILOT: A Medical Assistant Powered by GraphRAG and Similar Patient Case Retrieval ACL 2026 What’s Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning EACL 2026 WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback ACL 2026 AI Sees Your Location—But With A Bias Toward The Wealthy World EMNLP 2025 Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction EMNLP 2025 Can LLMs Express Personality Across Cultures? Introducing CulturalPersonas for Evaluating Trait Alignment EMNLP 2025 Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models ACL 2025 Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs NAACL 2025 Multilingual Large Language Models Leak Human Stereotypes across Language Boundaries ACL 2025 MUSE: Machine Unlearning Six-Way Evaluation for Language Models ICLR 2025 The Hallucination Tax of Reinforcement Finetuning EMNLP 2025 VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models EMNLP 2025 Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate ICML 2024 Fair Abstractive Summarization of Diverse Perspectives NAACL 2024 Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective EMNLP 2024 InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context EMNLP 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 Safer-Instruct: Aligning Language Models with Automated Preference Data NAACL 2024 Self-contradictory reasoning evaluation and detection EMNLP 2024 “You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations EMNLP 2024 TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning NeurIPS 2023 Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems EMNLP 2023 A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation EMNLP 2023 Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment? ACL 2023 SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models EACL 2023 Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers EMNLP 2022 On Measures of Biases and Harms in NLP AACL 2022 Using Item Response Theory to Measure Gender and Racial Bias of a BERT-based Automated English Speech Assessment System NAACL 2022 Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation NAACL 2021 Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ACL 2021 Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer ACL 2020 LOGAN: Local Group Bias Detection by Clustering EMNLP 2020 Mitigating Gender Bias Amplification in Distribution by Posterior Regularization ACL 2020 “The Boating Store Had Its Best Sail Ever”: Pronunciation-attentive Contextualized Pun Recognition ACL 2020 Towards Understanding Gender Bias in Relation Extraction ACL 2020 Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations ICCV 2019 Examining Gender Bias in Languages with Grammatical Gender EMNLP 2019 Gender Bias in Contextualized Word Embeddings NAACL 2019 Mitigating Gender Bias in Natural Language Processing: Literature Review ACL 2019 Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods NAACL 2018 Learning Gender-Neutral Word Embeddings EMNLP 2018 Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints EMNLP 2017