most citedAttacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence

3 citations · 4 across the 5 of their papers we have counts for

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cs.SE2026

Not as Sweet by Another Name: An Empirical Study of Format Robustness in LLM Document Workflows

Xiaoyu Zhang, Xianyun Cheng, Tianlin Li +3

LLM-driven software systems are rapidly evolving from plain-text conversations to document-centric end-to-end workflows, where the same semantic content can be delivered in diverse…

cs.SE2026

Ensemble-Based Uncertainty Estimation for Code Correctness Estimation

Yunxiang Wei, Tianlin Li, Yuwei Zheng +6

Large language models (LLMs) have demonstrated remarkable capabilities in generating programs from natural language descriptions, yet ensuring their correctness without an external…