Xudong Han
25 papers · 2019–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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(13)
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large language model
(7)
bias mitigation
(6)
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(3)
group bia
(2)
bias detection
(2)
harmful content detection
(2)
equal opportunity
(2)
text classification
(2)
fairness evaluation
(2)
model debiasing
(2)
model training
(2)
adversarial training
(2)
representation learning
(2)
language model
(2)
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responsible ai
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(1)
binary classification
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Papers
Control Illusion: The Failure of Instruction Hierarchies in Large Language Models
AAAI 2026
Nanda Family: Open-Weights Generative Large Language Models for Hindi
EACL 2026
SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning
EACL 2026
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability
NAACL 2025
Loki: An Open-Source Tool for Fact Verification
COLING 2025
NAT: Enhancing Agent Tuning with Negative Samples
NAACL 2025
Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring
NAACL 2025
ToolGen: Unified Tool Retrieval and Calling via Generation
ICLR 2025
A Chinese Dataset for Evaluating the Safeguards in Large Language Models
ACL 2024
Demystifying Instruction Mixing for Fine-tuning Large Language Models
ACL 2024
Do-Not-Answer: Evaluating Safeguards in LLMs
EACL 2024
Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation
ICLR 2023
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP
EACL 2023
Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?
IJCNLP 2023
Balancing out Bias: Achieving Fairness Through Balanced Training
EMNLP 2022
Does Representational Fairness Imply Empirical Fairness?
AACL 2022
FairLib: A Unified Framework for Assessing and Improving Fairness
EMNLP 2022
Optimising Equal Opportunity Fairness in Model Training
NAACL 2022
Systematic Evaluation of Predictive Fairness
AACL 2022
Towards Fair Dataset Distillation for Text Classification
EMNLP 2022
Decoupling Adversarial Training for Fair NLP
ACL 2021
Diverse Adversaries for Mitigating Bias in Training
EACL 2021
Evaluating Debiasing Techniques for Intersectional Biases
EMNLP 2021
Visual Learning Towards Soft Robot Force Control using a 3D Metamaterial with Differential Stiffness
CoRL 2021
Grounding learning of modifier dynamics: An application to color naming
EMNLP 2019