5 papers
FairCoder: Probing LLM Bias in High-Stakes Decision Making via Coding Tasks
Yongkang Du, Jen-tse Huang, Jieyu Zhao +1
The paper introduces FairCoder, a benchmark that uses coding tasks to detect implicit social bias in large language models when they are applied to high‑stakes decisions like hirin…
ForecastCompass: Guiding Agentic Forecasting with Adaptive Factor Memory
Yurui Chang, Yongkang Du, Yuanpu Cao +2
Agentic forecasting is important for decision-making in dynamic environments, but it remains challenging because agents must reason from incomplete, time-limited evidence and produ…
CARV: A Diagnostic Benchmark for Compositional Analogical Reasoning in Multimodal LLMs
Yongkang Du, Xiaohan Zou, Minhao Cheng +1
Analogical reasoning tests a fundamental aspect of human cognition: mapping the relation from one pair of objects to another. Existing evaluations of this ability in multimodal lar…
Mitigating topology biases in Graph Diffusion via Counterfactual Intervention
Wendi Wang, Jiaxi Yang, Yongkang Du +1
Graph diffusion models have gained significant attention in graph generation tasks, but they often inherit and amplify topology biases from sensitive attributes (e.g. gender, age,…
Controllable Pareto Trade-off between Fairness and Accuracy
Yongkang Du, Jieyu Zhao, Yijun Yang +1
The fairness-accuracy trade-off is a key challenge in NLP tasks. Current work focuses on finding a single "optimal" solution to balance the two objectives, which is limited conside…