activity
20232025
most citedDo Large Language Models Know about Facts?

9 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2025

Building a Stable Planner: An Extended Finite State Machine Based Planning Module for Mobile GUI Agent

Fanglin Mo, Junzhe Chen, Haoxuan Zhu +1

Mobile GUI agents execute user commands by directly interacting with the graphical user interface (GUI) of mobile devices, demonstrating significant potential to enhance user conve…

cs.CV2024★ 1 cited

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models

Junzhe Chen, Tianshu Zhang, Shiyu Huang +4

Despite the recent breakthroughs achieved by Large Vision Language Models (LVLMs) in understanding and responding to complex visual-textual contexts, their inherent hallucination t…

cs.CL2024

LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments

Junzhe Chen, Xuming Hu, Shuodi Liu +4

Recent advancements in large language models (LLMs) have revealed their potential for achieving autonomous agents possessing human-level intelligence. However, existing benchmarks…

cs.CL2024

Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions

Xuming Hu, Xiaochuan Li, Junzhe Chen +8

Generative search engines have the potential to transform how people seek information online, but generated responses from existing large language models (LLMs)-backed generative s…

cs.CL2023★ 2 cited

Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction

Xuming Hu, Junzhe Chen, Aiwei Liu +3

How can we better extract entities and relations from text? Using multimodal extraction with images and text obtains more signals for entities and relations, and aligns them throug…

cs.CL2023★ 9 cited

Do Large Language Models Know about Facts?

Xuming Hu, Junzhe Chen, Xiaochuan Li +4

Large language models (LLMs) have recently driven striking performance improvements across a range of natural language processing tasks. The factual knowledge acquired during pretr…