6 papers
Role-Break in Attention Heads: Understanding and Detecting Hallucinations in VLMs
Mingyu Wang, Weilin Jin, Wenbo Li +5
Despite remarkable progress in vision-language generation, Vision-Language Models (VLMs) remain prone to hallucinations, producing content that is inconsistent with or unsupported…
HalluScope: Fine-grained Hallucination Diagnosis for Multimodal Large Language Models
Weilin Jin, Mingyu Wang, Wenbo Li +5
Although Multimodal Large Language Models have achieved strong performance across a wide range of vision-language tasks, they still suffer from hallucinations, where model outputs…
Geo3R: Mitigating Spatial Reasoning Hallucination in Multimodal Large Language Models
Mingyu Wang, Weilin Jin, Wenbo Li +3
Despite remarkable progress in visual understanding, Multimodal Large Language Models (MLLMs) remain prone to hallucinations when reasoning about spatial relationships, often produ…
Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search
Mingyue Wang, Xingyu Xie, Hang Yang +5
Understanding how events evolve over time is essential for search engines handling queries about trending news. We present QDET (Query-Driven Event Timeline Summarization), a produ…
Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents
Rui Xu, MingYu Wang, XinTao Wang +4
Recent advances in LLM-based role-playing language agents (RPLAs) have attracted broad attention in various applications. While chain-of-thought reasoning has shown importance in m…
FactCG: Enhancing Fact Checkers with Graph-Based Multi-Hop Data
Deren Lei, Yaxi Li, Siyao Li +6
Prior research on training grounded factuality classification models to detect hallucinations in large language models (LLMs) has relied on public natural language inference (NLI)…