← Authors

Jieyu Zhao

43 papers · 2017–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (9) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (8) πŸ—ΊοΈ Taxonomy Completionist (10) 🐝 Cross-Pollinator (12) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ”¬ Deep Specialist (21) πŸ‘₯ Mega-Team (71) 🧬 Topic Evolution 🀝 Dynamic Duo (22) πŸ—ƒοΈ Keyword Collector (181) ❓ The Questioner (5) ⚑ Prolific Year (9) πŸ’Ž Century Club (41) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter

Conferences

EMNLP (16) ACL (9) NAACL (7) EACL (3) ICML (2) IJCNLP (2) AACL (1) ICCV (1) ICLR (1) NIPS (1)

Top co-authors

Kai-Wei Chang (22) Vicente Ordonez (4) Hal Daume III (4) Tianlu Wang (4) Mark Yatskar (4) Ryan Cotterell (3) Ziyi Liu (3) Kuan-Hao Huang (3) Furong Huang (3) William Yang Wang (3)

Research topics

Applications (1)

Keywords

gender bia (16) large language model (9) bias mitigation (7) social bia (5) natural language processing (4) bias detection (4) word embedding (3) language model (3) representation learning (3) vision-language model (3) multilingual large language model (2) bilingual embedding (2) differential item functioning (2) racial bia (2) bias measurement (2) bias amplification (2) model robustness (2) uncertainty estimation (2) coreference resolution (2) cross-lingual transfer (2)

Papers

GRAVITY: A Framework for Personalized Text Generation via Profile-Grounded Synthetic Preferences EACL 2026
What’s Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning EACL 2026
Can LLMs Express Personality Across Cultures? Introducing CulturalPersonas for Evaluating Trait Alignment EMNLP 2025
The Hallucination Tax of Reinforcement Finetuning EMNLP 2025
AI Sees Your Locationβ€”But With A Bias Toward The Wealthy World EMNLP 2025
VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models EMNLP 2025
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs NAACL 2025
Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction EMNLP 2025
Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models ACL 2025
Multilingual Large Language Models Leak Human Stereotypes across Language Boundaries ACL 2025
MUSE: Machine Unlearning Six-Way Evaluation for Language Models ICLR 2025
Safer-Instruct: Aligning Language Models with Automated Preference Data NAACL 2024
β€œYou Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations EMNLP 2024
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective EMNLP 2024
Self-contradictory reasoning evaluation and detection EMNLP 2024
Fair Abstractive Summarization of Diverse Perspectives NAACL 2024
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate ICML 2024
Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context EMNLP 2024
$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning NIPS 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
A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation EMNLP 2023
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems EMNLP 2023
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers EMNLP 2022
Using Item Response Theory to Measure Gender and Racial Bias of a BERT-based Automated English Speech Assessment System NAACL 2022
On Measures of Biases and Harms in NLP AACL 2022
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation NAACL 2021
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? IJCNLP 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
β€œThe Boating Store Had Its Best Sail Ever”: Pronunciation-attentive Contextualized Pun Recognition ACL 2020
Towards Understanding Gender Bias in Relation Extraction ACL 2020
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization ACL 2020
Examining Gender Bias in Languages with Grammatical Gender EMNLP 2019
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations ICCV 2019
Examining Gender Bias in Languages with Grammatical Gender IJCNLP 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