Liqiang Jing is a Ph.D. student at the University of Texas at Dallas supervised by Prof. Xinya Du. He received the Master degree in the School of Computer Science and Technology from Shandong University in 2023 (advised by Prof. Xuemeng Song and Prof. Liqiang Nie) and the Bachelor degree in the School of Computer Science and Information from Hefei University of Technology in 2020. His research interests include multimodal learning and natural language processing. Now, he is very interested in Evaluation and Alignment for Large Vision-Language Models (LVLMs)/Large Language Models (LLMs), and LLMs/LVLMs as Agents for Real-world Tasks.

I am happy to chat and discuss potential collaborations. Please feel free to reach out to me via Email (jingliqiang6 AT gmail.com).
- If you are looking for research opportunities in Professor Du's Lab, please contact Professor Xinya Du.
- If you are a researcher and want to collaborate/talk with me, please contact me directly.

Papers

Preprints:

pdf	FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback. Liqiang Jing & Xinya Du Arxiv   • Codes&Data
pdf	DSBench: How Far Are Data Science Agents to Becoming Data Science Experts? Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du & Dong Yu Arxiv (HuggingFace #1 Paper of the day)   • Codes&Data
pdf	FIHA: Autonomous Hallucination Evaluation in Vision-Language Models with Davidson Scene Graphs. Bowen Yan*, Zhengsong Zhang*, Liqiang Jing*, Eftekhar Hossain & Xinya Du Arxiv   • Codes&Data
pdf	Learning to Generate Research Idea with Dynamic Control. Ruochen Li, Liqiang Jing, Chi Han, Jiawei Zhou & Xinya Du Arxiv   • Codes&Data

In the Year of 2025:

pdf	Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization. Yue Zhang, Liqiang Jing & Vibhav Gogate AAAI 2025   • Codes&Data
pdf	Fine-grained and Explanable Factuality Evaluation for Multimodal Summarization. Yue Zhang, Jingxuan Zuo & Liqiang Jing† AAAI 2025   • Codes&Data
pdf	Sentiment-enhanced Graph-based Sarcasm Explanation in Dialogue. Kun Ouyang, Liqiang Jing†, Xuemeng Song, Meng Liu, Yupeng Hu & Liqiang Nie IEEE TMM   • Codes&Data

In the Year of 2024:

pdf	Debiasing Multimodal Sarcasm Detection with Contrastive Learning. Mengzhao Jia, Can Xie & Liqiang Jing† AAAI 2024   • Codes&Data
pdf	Knowledge-enhanced Memory Model for Emotional Support Conversation. Mengzhao Jia, Qianglong Chen, Liqiang Jing, Dawei Fu & Renyu Li AAAI 2024   • Codes&Data
pdf	VK-G2T: Vision and Context Knowledge Enhanced Gloss2Text. Liqiang Jing, Xuemeng Song, Xinxing Zu, Na Zheng, Zhongzhou Zhao & Liqiang Nie ICASSP 2024   • Codes&Data
pdf	A Unified Hallucination Mitigation Framework for Large Vision-Language Models. Yue Chang*, Liqiang Jing*, Xiaopeng Zhang* & Yue Zhang TMLR   • Codes&Data
pdf	FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models. Liqiang Jing, Ruosen Li, Yunmo Chen & Xinya Du EMNLP 2024   • Codes&Data

In the Year of 2023:

pdf	Vision Enhanced Generative Pre-trained Language Model for Multimodal Sentence Summarization. Liqiang Jing, Yiren Li, Junhao Xu, Yongcan Yu, Pei Shen & Xuemeng Song Machine Intelligence Research   • Codes&Data
pdf	Mutual-enhanced Incongruity Learning Network for Multi-modal Sarcasm Detection. Yang Qiao, Liqiang Jing†, Xuemeng Song, Xiaolin Chen, Lei Zhu & Liqiang Nie AAAI 2023 (Oral)   • Codes&Data
pdf	Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization. Dengtian Lin, Liqiang Jing†, Xuemeng Song, Meng Liu, Teng Sun & Liqiang Nie ACM SIGIR 2023 (Oral)   • Codes&Data
pdf	Dual Consistency-enhanced Semi-supervised Sentiment Analysis towards COVID-19 Tweets. Teng Sun, Liqiang Jing, Yinwei Wei, Xuemeng Song, Zhiyong Cheng & Liqiang Nie IEEE TKDE   • Codes&Data
pdf	Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation. Liqiang Jing, Xuemeng Song, Kun Ouyang, Mengzhao Jia & Liqiang Nie ACL 2023   • Codes&Data
pdf	Stylized Data-to-Text Generation: A Case Study in the E-Commerce Domain. Liqiang Jing, Xuemeng Song, Xuming Lin, Zhongzhou Zhao, Wei Zhou & Liqiang Nie ACM TOIS   • Codes&Data
pdf	Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model. Xiaolin Chen, Xuemeng Song, Liqiang Jing, Shuo Li, Linmei Hu & Liqiang Nie ACM TOIS   • Codes&Data
pdf	General Debiasing for Multimodal Sentiment Analysis. Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei & Liqiang Nie ACM MM 2023   • Codes&Data

In the Year of 2022:

pdf	V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation. Xuemeng Song, Liqiang Jing, Dengtian Lin, Zhongzhou Zhao, Haiqing Chen & Liqiang Nie ACM SIGIR 2022 (Oral)   • Codes&Data
pdf	Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis. Teng Sun, Wenjie Wang, Liqiang Jing, Yiran Cui, Xuemeng Song & Liqiang Nie ACM MM 2022 (Award Recommendation, Oral)   • Codes&Data
pdf	CI-OCM: Counterfactural Inference towards Unbiased Outfit Compatibility Modeling. Liqiang Jing, Minghui Tian, Xiaolin Chen, Teng Sun, Weili Guan & Xuemeng Song ACM MM 2022   • Codes&Data

Talks

Evaluating Hallucination in LVLMs on AGI Super Summit hosted by SuperAGI. Feb, 2024.    Slides

ACM MM 2022 Oral on Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis. Oct, 2022.    Slides

ACM MCFR 2022 on CI-OCM: Counterfactual Inference towards Unbiased Outfit Compatibility Modeling. Oct, 2022.    Slides

ACM SIGIR 2022 Oral on V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation. Jul, 2022.    Slides

Patent

Text generation methods and devices (applying) CN202211048016.0

Text generation methods and devices (applying) CN202211158537.1

A knowledge-guided multi-source information fusion method for predicting blast furnace gas (applying) CN202210606561.0

Adaptive deployment methods, systems, devices and storage media of transmission inspection terminals CN202211146873.4

Teaching Assistant

Spring 2024, CS 4375 Introduction to Machine Learning, University of Texas at Dallas Fall 2023, CS 6320 Natural Language Processing, University of Texas at Dallas Spring 2021, Machine Learning, Shandong University

Professional Services

Invited Reviewer for Conferences:     2022: ACM MM Workshop, NeurIPS;     2023: ICML, NeurIPS, EMNLP;     2024: ICLR, ICML, LREC, COLING, ACM MM.

Invited Reviewer for Journals:      Information Sciences, IEEE TMM, IEEE TCSVT, IEEE TASLP, Neurocomputing.

Honors

Researcher Access Program Award, OpenAI, 2024 Outstanding Graduate Student, Shandong University, 2022 ACM SIGIR Student Travel Grant, 2022 Excellent Graduate, Hefei University of Technology, 2020 National Encouragement Scholarship, 2017, 2018, 2019 First Class Scholarship, Hefei University of Technology, 2018, 2019

Last Update, Oct 2024.