4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.AI2025
Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis
Rui Zou, Mengqi Wei, Yutao Zhu +3
Large Language Models (LLMs) excel in reasoning and generation across domains, but still struggle with identifying and diagnosing complex errors. This stems mainly from training ob…
cs.CL2024
Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level
Xinyi Zeng, Yuying Shang, Jiawei Chen +2
Large language models (LLMs) have demonstrated immense utility across various industries. However, as LLMs advance, the risk of harmful outputs increases due to incorrect or malici…
cs.CL2024
From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models
Yuying Shang, Xinyi Zeng, Yutao Zhu +6
Hallucinations in large vision-language models (LVLMs) are a significant challenge, i.e., generating objects that are not presented in the visual input, which impairs their reliabi…