14 citations · 21 across the 5 of their papers we have counts for
6 papers
When Model Priors Conflict with Visual Evidence: Mitigating Commonsense-Driven Hallucinations by Selective Prior Calibration
Kesheng Chen, Yamin Hu, Wenjian Luo
In vision--language models, commonsense-driven hallucination (CDH) occurs when a model's commonsense prior overrides clear visual evidence of an atypical state. For example, a mode…
AP-BMM: Approximating Capability-Cost Pareto Sets of LLMs via Asynchronous Prior-Guided Bayesian Model Merging
Kesheng Chen, Yamin Hu, Zhenqian Zhu +2
LLM services need to offer a family of models spanning different capability--cost trade-offs to accommodate diverse user preferences. Model merging offers a practical way to constr…
CDH-Bench: A Commonsense-Driven Hallucination Benchmark for Evaluating Visual Fidelity in Vision-Language Models
Kesheng Chen, Yamin Hu, Qi Zhou +2
Vision-language models (VLMs) achieve strong performance on many benchmarks, yet a basic reliability question remains underexplored: when visual evidence conflicts with commonsense…
A Novel Immune Algorithm for Multiparty Multiobjective Optimization
Kesheng Chen, Wenjian Luo, Qi Zhou +3
Traditional multiobjective optimization problems (MOPs) are insufficiently equipped for scenarios involving multiple decision makers (DMs), which are prevalent in many practical ap…
Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons
Kesheng Chen, Wenjian Luo, Xin Lin +2
Unmanned aerial vehicles (UAVs) have been widely used in urban missions, and proper planning of UAV paths can improve mission efficiency while reducing the risk of potential third-…
MIR: Efficient Exploration in Episodic Multi-Agent Reinforcement Learning via Mutual Intrinsic Reward
Kesheng Chen, Wenjian Luo, Bang Zhang +2
Episodic rewards present a significant challenge in reinforcement learning. While intrinsic reward methods have demonstrated effectiveness in single-agent rein-forcement learning s…