Context-Based Integration of Numerical Information. - Dalu Zhang; Liqiang Jing (CEC, 2005)

CI-OCM: Counterfactural Inference towards Unbiased Outfit Compatibility Modeling. - Liqiang Jing; Minghui Tian; Xiaolin Chen; Teng Sun; Weili Guan; Xuemeng Song (MCFR@MM, 2022)

Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis. - Teng Sun; Wenjie Wang 007; Liqiang Jing; Yiran Cui; Xuemeng Song; Liqiang Nie (ACM Multimedia, 2022)

V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation. - Xuemeng Song; Liqiang Jing; Dengtian Lin; Zhongzhou Zhao; Haiqing Chen; Liqiang Nie (SIGIR, 2022)

Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection. - Yang Qiao; Liqiang Jing; Xuemeng Song; Xiaolin Chen; Lei Zhu 002; Liqiang Nie (AAAI, 2023)

Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation. - Liqiang Jing; Xuemeng Song; Kun Ouyang; Mengzhao Jia; Liqiang Nie (ACL (1), 2023)

General Debiasing for Multimodal Sentiment Analysis. - Teng Sun; Juntong Ni; Wenjie Wang 007; Liqiang Jing; Yinwei Wei; Liqiang Nie (ACM Multimedia, 2023)

Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization. - Dengtian Lin; Liqiang Jing; Xuemeng Song; Meng Liu 006; Teng Sun; Liqiang Nie (SIGIR, 2023)

FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models. - Liqiang Jing; Ruosen Li; Yunmo Chen; Mengzhao Jia; Xinya Du (CoRR, 2023)

Vision Enhanced Generative Pre-trained Language Model for Multimodal Sentence Summarization. - Liqiang Jing; Yiren Li; Junhao Xu; Yongcan Yu; Pei Shen; Xuemeng Song (Mach. Intell. Res., 2023)

Dual Consistency-Enhanced Semi-Supervised Sentiment Analysis Towards COVID-19 Tweets. - Teng Sun; Liqiang Jing; Yinwei Wei; Xuemeng Song; Zhiyong Cheng 001; Liqiang Nie (IEEE Trans. Knowl. Data Eng., 2023)

Knowledge-enhanced Memory Model for Emotional Support Conversation. - Mengzhao Jia; Qianglong Chen; Liqiang Jing; Dawei Fu; Renyu Li (ML4CMH@AAAI, 2024)

Debiasing Multimodal Sarcasm Detection with Contrastive Learning. - Mengzhao Jia; Can Xie; Liqiang Jing (AAAI, 2024)

FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models. - Liqiang Jing; Ruosen Li; Yunmo Chen; Xinya Du (EMNLP (Findings), 2024)

VK-G2T: Vision and Context Knowledge Enhanced Gloss2text. - Liqiang Jing; Xuemeng Song; Xinxing Zu; Na Zheng; Zhongzhou Zhao; Liqiang Nie (ICASSP, 2024)

Sentiment-enhanced Graph-based Sarcasm Explanation in Dialogue. - Kun Ouyang; Liqiang Jing; Xuemeng Song; Meng Liu 006; Yupeng Hu; Liqiang Nie (CoRR, 2024)

Fine-grained and Explainable Factuality Evaluation for Multimodal Summarization. - Liqiang Jing; Jingxuan Zuo; Yue Zhang (CoRR, 2024)

Multimodal Interaction Modeling via Self-Supervised Multi-Task Learning for Review Helpfulness Prediction. - Honglin Gong; Mengzhao Jia; Liqiang Jing (CoRR, 2024)

DSBench: How Far Are Data Science Agents to Becoming Data Science Experts? - Liqiang Jing; Zhehui Huang; Xiaoyang Wang; Wenlin Yao; Wenhao Yu 002; Kaixin Ma; Hongming Zhang 009; Xinya Du; Dong Yu 001 (CoRR, 2024)

FIHA: Autonomous Hallucination Evaluation in Vision-Language Models with Davidson Scene Graphs. - Bowen Yan; Zhengsong Zhang; Liqiang Jing; Eftekhar Hossain; Xinya Du (CoRR, 2024)

Learning to Generate Research Idea with Dynamic Control. - Ruochen Li; Liqiang Jing; Chi Han; Jiawei Zhou; Xinya Du (CoRR, 2024)

A Unified Hallucination Mitigation Framework for Large Vision-Language Models. - Yue Chang; Liqiang Jing; Xiaopeng Zhang; Yue Zhang (Trans. Mach. Learn. Res., 2024)

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 Trans. Inf. Syst., 2024)

Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model. - Xiaolin Chen; Xuemeng Song; Liqiang Jing; Shuo Li; Linmei Hu; Liqiang Nie (ACM Trans. Inf. Syst., 2024)

Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization. - Yue Zhang; Liqiang Jing; Vibhav Gogate (AAAI, 2025)

FIHA: Automated Fine-grained Hallucinations Evaluations in Large Vision Language Models with Davidson Scene Graphs. - Bowen Yan; Zhengsong Zhang; Liqiang Jing; Eftekhar Hossain; Xinya Du (ACL (Findings), 2025)

DSBench: How Far Are Data Science Agents from Becoming Data Science Experts? - Liqiang Jing; Zhehui Huang; Xiaoyang Wang; Wenlin Yao; Wenhao Yu 002; Kaixin Ma; Hongming Zhang 009; Xinya Du; Dong Yu 001 (ICLR, 2025)

Tutorial Proposal: Hallucinations in Large Language Models and Large Vision-Language Models. - Liqiang Jing; Yue Zhang; Xinya Du (ICMR, 2025)

FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback. - Liqiang Jing; Xinya Du (Trans. Mach. Learn. Res., 2025)

Multimodal Reference Visual Grounding. - Yangxiao Lu; Ruosen Li; Liqiang Jing; Jikai Wang; Xinya Du; Yunhui Guo; Nicholas Ruozzi; Yu Xiang 001 (CoRR, 2025)

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models. - Liqiang Jing; Guiming Hardy Chen; Ehsan Aghazadeh; Xin Eric Wang; Xinya Du (CoRR, 2025)

Speech Recognition on TV Series with Video-guided Post-Correction. - Haoyuan Yang; Yue Zhang; Liqiang Jing (CoRR, 2025)

LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research. - Shuo Yan; Ruochen Li; Ziming Luo; Zimu Wang; Daoyang Li; Liqiang Jing; Kaiyu He; Peilin Wu; George Michalopoulos; Yue Zhang; Ziyang Zhang; Mian Zhang; et al. (CoRR, 2025)

FIFA: Unified Faithfulness Evaluation Framework for Text-to-Video and Video-to-Text Generation. - Liqiang Jing; Viet Lai; Seunghyun Yoon; Trung Bui; Xinya Du (CoRR, 2025)

Can Large Vision-Language Models Understand Multimodal Sarcasm? - Xinyu Wang; Yue Zhang; Liqiang Jing (CoRR, 2025)