most citedA Survey on Post-training of Large Language Models

2 citations · 4 across the 12 of their papers we have counts for

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cs.CV2026

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing

Yanbin Huang, Yisen Li, Guiyao Tie +6

Large vision-language models (LVLMs) frequently suffer from Object Hallucination (OH), wherein they generate descriptions containing objects that are not actually present in the in…

cs.CV2025

LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization

Xueyang Zhou, Yangming Xu, Guiyao Tie +5

LIBERO has emerged as a widely adopted benchmark for evaluating Vision-Language-Action (VLA) models; however, its current training and evaluation settings are problematic, often le…