activity
20232025
most citedI'm Spartacus, No, I'm Spartacus: Measuring and Understanding LLM Identity Confusion

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2025

LEC: Linear Expectation Constraints for Selection-Conditioned Risk Control in Selective Prediction and Routing Systems

Zhiyuan Wang, Aniri, Tianlong Chen +4

Foundation models often generate unreliable answers, while heuristic uncertainty estimators fail to fully distinguish correct from incorrect outputs, causing users to accept errone…

cs.CL2025

SConU: Selective Conformal Uncertainty in Large Language Models

Zhiyuan Wang, Qingni Wang, Yue Zhang +4

As large language models are increasingly utilized in real-world applications, guarantees of task-specific metrics are essential for their reliable deployment. Previous studies hav…

cs.LG2025

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach

Xu Zhang, Kaidi Xu, Ziqing Hu +1

Mixture of Experts (MoE) have shown remarkable success in leveraging specialized expert networks for complex machine learning tasks. However, their susceptibility to adversarial at…

cs.CR2024★ 1 cited

I'm Spartacus, No, I'm Spartacus: Measuring and Understanding LLM Identity Confusion

Kun Li, Shichao Zhuang, Yue Zhang +5

Large Language Models (LLMs) excel in diverse tasks such as text generation, data analysis, and software development, making them indispensable across domains like education, busin…

cs.CL2024

ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees

Zhiyuan Wang, Jinhao Duan, Lu Cheng +6

Uncertainty quantification (UQ) in natural language generation (NLG) tasks remains an open challenge, exacerbated by the closed-source nature of the latest large language models (L…

cs.CL2024

Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond

Zhiyuan Wang, Jinhao Duan, Chenxi Yuan +6

Uncertainty estimation is crucial for the reliability of safety-critical human and artificial intelligence (AI) interaction systems, particularly in the domain of healthcare engine…

cs.AI2023

PINNs-Based Uncertainty Quantification for Transient Stability Analysis

Ren Wang, Ming Zhong, Kaidi Xu +2

This paper addresses the challenge of transient stability in power systems with missing parameters and uncertainty propagation in swing equations. We introduce a novel application…