3 papers
cs.CL2026
SAVER: Selective Auditing of Verbal Evidence for Error Recovery in VLM Change Reasoning
Youdi Li
Vision-language models (VLMs) frequently fail at visual change reasoning, even when their vision encoders contain sufficient information. We observe that correct VLM outputs tend t…
cs.HC2026
Discovery-Oriented Faceting: From Coverage to Blind-Spot Discovery
Youdi Li
When people explore large document collections to build understanding, they face a challenge: existing AI tools help them see what is central but tend to hide what is unusual. Summ…
cs.CL2024
Pyramid-Driven Alignment: Pyramid Principle Guided Integration of Large Language Models and Knowledge Graphs
Lei Sun, Xinchen Wang, Youdi Li
Large Language Models (LLMs) possess impressive reasoning abilities but are prone to generating incorrect information, often referred to as hallucinations. While incorporating exte…