conftrace_

Xudong Han

29 papers · 2019–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (6) 🌍 Conference Polyglot (9) πŸ—ΊοΈ Taxonomy Completionist (34)
πŸƒ Academic Marathon (6) πŸ—ΊοΈ Taxonomy Completionist (34) 🐝 Cross-Pollinator (14) πŸ”¬ Deep Specialist (11) πŸ‘₯ Mega-Team (35) 🀝 Dynamic Duo (22) 🧬 Topic Evolution πŸ† Keyword Champion ❓ The Questioner (3) πŸ’Ž Century Club (26) πŸ—ƒοΈ Keyword Collector (91) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (5)

Conferences

EACL (5) EMNLP (5) IJCNLP (4) NAACL (4) AACL (3) ACL (3) ICLR (2) AAAI (1) COLING (1) CORL (1)

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 NAT: Enhancing Agent Tuning with Negative Samples NAACL 2025 ToolGen: Unified Tool Retrieval and Calling via Generation ICLR 2025 Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring NAACL 2025 Loki: An Open-Source Tool for Fact Verification COLING 2025 Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability NAACL 2025 Do-Not-Answer: Evaluating Safeguards in LLMs EACL 2024 A Chinese Dataset for Evaluating the Safeguards in Large Language Models ACL 2024 Demystifying Instruction Mixing for Fine-tuning Large Language Models ACL 2024 Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? AACL 2023 Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? IJCNLP 2023 Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP EACL 2023 Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation ICLR 2023 FairLib: A Unified Framework for Assessing and Improving Fairness EMNLP 2022 Systematic Evaluation of Predictive Fairness AACL 2022 Does Representational Fairness Imply Empirical Fairness? AACL 2022 Balancing out Bias: Achieving Fairness Through Balanced Training EMNLP 2022 Towards Fair Dataset Distillation for Text Classification EMNLP 2022 Systematic Evaluation of Predictive Fairness IJCNLP 2022 Optimising Equal Opportunity Fairness in Model Training NAACL 2022 Evaluating Debiasing Techniques for Intersectional Biases EMNLP 2021 Diverse Adversaries for Mitigating Bias in Training EACL 2021 Decoupling Adversarial Training for Fair NLP IJCNLP 2021 Visual Learning Towards Soft Robot Force Control using a 3D Metamaterial with Differential Stiffness CORL 2021 Decoupling Adversarial Training for Fair NLP ACL 2021 Grounding learning of modifier dynamics: An application to color naming IJCNLP 2019 Grounding learning of modifier dynamics: An application to color naming EMNLP 2019