Publications

2026

  1. COLM’26
    CARV: A Diagnostic Benchmark for Compositional Analogical Reasoning in Multimodal LLMs
    Yongkang Du, Xiaohan Zou, Minhao Cheng, and Lu Lin
    COLM, 2026
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  2. ICML’26
    ForecastCompass: Guiding Agentic Forecasting with Adaptive Factor Memory
    Yurui Chang, Yongkang Du, Yuanpu Cao, Jinghui Chen, and Lu Lin
    ICML Workshop on Forecasting, 2026
    Spotlight
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  3. ICML’26
    From Narrative to Auditable Forecasts: A Structured Scaffold for Agentic Forecasting
    Yuanpu Cao, Yongkang Du, Yurui Chang, Lu Lin, and Jinghui Chen
    ICML Workshop on Forecasting, 2026
  4. KDD’26
    FairCoder: Probing LLM Bias in High-Stakes Decision Making via Coding Tasks
    Yongkang Du, Jen-tse Huang, Jieyu Zhao, and Lu Lin
    KDD SeT-LLM, 2026
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  5. Preprint’26
    Mitigating Topology Biases in Graph Diffusion via Counterfactual Intervention
    Wendi Wang, Yongkang Du, Jiaxi Yang, and Lu Lin
    Preprint, 2026
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  6. ACL’26
    Controllable Pareto Trade-off between Fairness and Accuracy
    Yongkang Du, Jieyu Zhao, Yijun Yang, and Tianyi Zhou
    ACL TrustNLP Workshop, 2026

2024

  1. EMNLP
    Self-Contradictory Reasoning Evaluation and Detection
    Ziyi Liu, Isabelle Lee, Yongkang Du, Soumya Sanyal, and Jieyu Zhao
    EMNLP Findings, 2024
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