activity
20242026
collaborators

7 papers

cs.CL2026

NERdME: a Named Entity Recognition Dataset for Indexing Research Artifacts in Code Repositories

Genet Asefa Gesese, Zongxiong Chen, Shufan Jiang +4

Existing scholarly information extraction (SIE) datasets focus on scientific papers and overlook implementation-level details in code repositories. README files describe datasets,…

cs.CL2025

NFDI4DS Shared Tasks for Scholarly Document Processing

Raia Abu Ahmad, Rana Abdulla, Tilahun Abedissa Taffa +18

Shared tasks are powerful tools for advancing research through community-based standardised evaluation. As such, they play a key role in promoting findable, accessible, interoperab…

cs.CL2025

HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs

Qing Li, Jiahui Geng, Zongxiong Chen +5

In recent years, large language models (LLMs) have made remarkable advancements, yet hallucination, where models produce inaccurate or non-factual statements, remains a significant…

cs.IR2025

VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration

Jiahui Geng, Qing Li, Zongxiong Chen +7

The rapid advancement of vision-language models (VLMs) has brought a lot of attention to their safety alignment. However, existing methods have primarily focused on model undersafe…

cs.CL2025

A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models

Jiahui Geng, Qing Li, Herbert Woisetschlaeger +6

This study investigates the machine unlearning techniques within the context of large language models (LLMs), referred to as \textit{LLM unlearning}. LLM unlearning offers a princi…

cs.LG2025

Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update

Qing Li, Jiahui Geng, Zongxiong Chen +3

Vision-language models (VLMs) demonstrate strong multimodal capabilities but have been found to be more susceptible to generating harmful content compared to their backbone large l…