activity
20222024
most citedGPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks

13 citations · 51 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL202411 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.CV202313 cited

GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks

Xinlu Zhang, Yujie Lu, Weizhi Wang +7

Automatically evaluating vision-language tasks is challenging, especially when it comes to reflecting human judgments due to limitations in accounting for fine-grained details. Alt…

cs.CL20237 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.CL20233 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…

cs.CL202310 cited

Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models

Xianjun Yang, Xiao Wang, Qi Zhang +4

Warning: This paper contains examples of harmful language, and reader discretion is recommended. The increasing open release of powerful large language models (LLMs) has facilitate…

cs.LG2023

Bayesian polynomial neural networks and polynomial neural ordinary differential equations

Colby Fronk, Jaewoong Yun, Prashant Singh +1

Symbolic regression with polynomial neural networks and polynomial neural ordinary differential equations (ODEs) are two recent and powerful approaches for equation recovery of man…