Zekun Wu
14 papers · 2024–2026 · 7 conferences · across top CS/AI conferences
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IJCNLP (3)
AAAI (2)
EMNLP (2)
NAACL (2)
ACL (1)
COLING (1)
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large language model
(6)
bias detection
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knowledge graph
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social bia
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bias mitigation
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post-training alignment
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model collapse
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hybrid retrieval
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sentiment distribution
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query complexity
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model interpretability
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retrieval-augmented generation
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stereotype detection
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bias amplification
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text classification
(2)
political bia
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red teaming
(1)
model debiasing
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mechanistic interpretability
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vulnerability assessment
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Papers
AgentSeer: Visualizing and Evaluating Temporal Actions in Agentic AI Systems
AAAI 2026
AgentGraph: Trace-to-Graph Platform for Interactive Analysis and Robustness Testing in Agentic AI Systems
AAAI 2026
LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries
ACL 2025
SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration
COLING 2025
HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection
IJCNLP 2025
Bias Amplification: Large Language Models as Increasingly Biased Media
IJCNLP 2025
MPF: Aligning and Debiasing Language Models post Deployment via Multi-Perspective Fusion
IJCNLP 2025
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications
NAACL 2025
From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs
NAACL 2025
MPF: Aligning and Debiasing Language Models post Deployment via Multi-Perspective Fusion
AACL 2025
Bias Amplification: Large Language Models as Increasingly Biased Media
AACL 2025
HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection
AACL 2025
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models
EMNLP 2024
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications
EMNLP 2024