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

   The Third Annual Conference on Language Modeling, 2026

   HTML
2. EMNLP’26

   From Narrative to Auditable Forecasts: A Structured Scaffold for Agentic Forecasting

   Yuanpu Cao, Yongkang Du, Yurui Chang, Lu Lin, and Jinghui Chen

   The 2026 Conference on Empirical Methods in Natural Language Processing, 2026
3. 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

   HTML
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 Workshop, 2026

   HTML Code
5. Preprint’26

   Mitigating Topology Biases in Graph Diffusion via Counterfactual Intervention

   Wendi Wang, Yongkang Du, Jiaxi Yang, and Lu Lin

   Preprint, 2026

   HTML
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

   The 2024 Conference on Empirical Methods in Natural Language Processing, 2024

   HTML