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20242026
most citedA Unified Hallucination Mitigation Framework for Large Vision-Language Models

2 citations · 2 across the 6 of their papers we have counts for

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cs.SE2026

DeployBench: Benchmarking LLM Agents for Research Artifact Deployment

Yuanli Wang, Yaoyao Qian, Yue Zhang +8

LLM agents have made rapid progress on software engineering and ML research tasks, but these advances often assume access to a working runnable environment. For research artifacts…

cs.AI2026

SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

Xiangyi Li, Yimin Liu, Wenbo Chen +75

Agent Skills are structured packages of procedural knowledge that augment large language model (LLM) agents at inference time. Despite rapid adoption, there is no standard way to m…