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20232025
most citedA Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law

18 citations · 81 across the 10 of their papers we have counts for

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8 papers · 1 filter

cs.CL2025

Many-Turn Jailbreaking

Xianjun Yang, Liqiang Xiao, Shiyang Li +5

Current jailbreaking work on large language models (LLMs) aims to elicit unsafe outputs from given prompts. However, it only focuses on single-turn jailbreaking targeting one speci…

cs.CL2024★ 1 cited

MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Zekun Li, Xianjun Yang, Kyuri Choi +11

Scientific figure interpretation is a crucial capability for AI-driven scientific assistants built on advanced Large Vision Language Models. However, current datasets and benchmark…

cs.CL2024★ 18 cited

A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law

Zhiyu Zoey Chen, Jing Ma, Xinlu Zhang +7

In the fast-evolving domain of artificial intelligence, large language models (LLMs) such as GPT-3 and GPT-4 are revolutionizing the landscapes of finance, healthcare, and law: dom…

cs.CL2024★ 11 cited

Quokka: An Open-source Large Language Model ChatBot for Material Science

Xianjun Yang, Stephen D. Wilson, Linda Petzold

This paper presents the development of a specialized chatbot for materials science, leveraging the Llama-2 language model, and continuing pre-training on the expansive research art…

cs.CL2023★ 7 cited

A Survey on Detection of LLMs-Generated Content

Xianjun Yang, Liangming Pan, Xuandong Zhao +4

The burgeoning capabilities of advanced large language models (LLMs) such as ChatGPT have led to an increase in synthetic content generation with implications across a variety of s…

cs.CL2023★ 3 cited

Zero-Shot Detection of Machine-Generated Codes

Xianjun Yang, Kexun Zhang, Haifeng Chen +3

This work proposes a training-free approach for the detection of LLMs-generated codes, mitigating the risks associated with their indiscriminate usage. To the best of our knowledge…