Ji Qi

According to our database, Ji Qi authored at least 28 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

Wenyi Hong, Wenmeng Yu, Xiaotao Gu, Guo Wang, Guobing Gan, Haomiao Tang, Jiale Cheng, Ji Qi, Junhui Ji, Lihang Pan, Shuaiqi Duan, Weihan Wang, Yan Wang, Yean Cheng, Zehai He, Zhe Su, Zhen Yang, Ziyang Pan, Aohan Zeng, Baoxu Wang, Boyan Shi, Changyu Pang, Chenhui Zhang, Da Yin, Fan Yang, Guoqing Chen, Jiazheng Xu, Jiali Chen, Jing Chen, Jinhao Chen, Jinghao Lin, Jinjiang Wang, Junjie Chen, Leqi Lei, Letian Gong, Leyi Pan, Mingzhi Zhang, Qinkai Zheng, Sheng Yang, Shi Zhong, Shiyu Huang, Shuyuan Zhao, Siyan Xue, Shangqin Tu, Shengbiao Meng, Tianshu Zhang, Tianwei Luo, Tianxiang Hao, Wenkai Li, Wei Jia, Xin Lyu, Xuancheng Huang, Yanling Wang, Yadong Xue, Yanfeng Wang, Yifan An, Yifan Du, Yiming Shi, Yiheng Huang, Yilin Niu, Yuan Wang, Yuanchang Yue, Yuchen Li, Yutao Zhang, Yuxuan Zhang, Zhanxiao Du, Zhenyu Hou, Zhao Xue, Zhengxiao Du, Zihan Wang, Peng Zhang, Debing Liu, Bin Xu, Juanzi Li, Minlie Huang, Yuxiao Dong, Jie Tang

CoRR, July, 2025

TextVidBench: A Benchmark for Long Video Scene Text Understanding.

Yangyang Zhong, Ji Qi, Yuan Yao, Pengxin Luo, Yunfeng Yan, Donglian Qi, Zhiyuan Liu, Tat-Seng Chua

CoRR, June, 2025

Hard Negative Contrastive Learning for Fine-Grained Geometric Understanding in Large Multimodal Models.

Kai Sun, Yushi Bai, Zhen Yang, Jiajie Zhang, Ji Qi, Lei Hou, Juanzi Li

CoRR, May, 2025

An LMM for Efficient Video Understanding via Reinforced Compression of Video Cubes.

Ji Qi, Yuan Yao, Yushi Bai, Bin Xu, Juanzi Li, Zhiyuan Liu, Tat-Seng Chua

CoRR, April, 2025

ExpLLM: Towards Chain of Thought for Facial Expression Recognition.

Xing Lan, Jian Xue, Ji Qi, Dongmei Jiang, Ke Lu, Tat-Seng Chua

IEEE Trans. Multim., 2025

CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning.

Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv, Wenyi Hong, Bin Xu, Lei Hou, Juanzi Li, Yuxiao Dong, Jie Tang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

CogVLM2: Visual Language Models for Image and Video Understanding.

Wenyi Hong, Weihan Wang, Ming Ding, Wenmeng Yu, Qingsong Lv, Yan Wang, Yean Cheng, Shiyu Huang, Junhui Ji, Zhao Xue, Lei Zhao, Zhuoyi Yang, Xiaotao Gu, Xiaohan Zhang, Guanyu Feng, Da Yin, Zihan Wang, Ji Qi, Xixuan Song, Peng Zhang, Debing Liu, Bin Xu, Juanzi Li, Yuxiao Dong, Jie Tang

CoRR, 2024

LVBench: An Extreme Long Video Understanding Benchmark.

Weihan Wang, Zehai He, Wenyi Hong, Yean Cheng, Xiaohan Zhang, Ji Qi, Shiyu Huang, Bin Xu, Yuxiao Dong, Ming Ding, Jie Tang

CoRR, 2024

CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations.

Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv, Wenyi Hong, Bin Xu, Lei Hou, Juanzi Li, Yuxiao Dong, Jie Tang

CoRR, 2024

CogVLM: Visual Expert for Pretrained Language Models.

Weihan Wang, Qingsong Lv, Wenmeng Yu, Wenyi Hong, Ji Qi, Yan Wang, Junhui Ji, Zhuoyi Yang, Lei Zhao, Xixuan Song, Jiazheng Xu, Keqin Chen, Bin Xu, Juanzi Li, Yuxiao Dong, Ming Ding, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

KoLA: Carefully Benchmarking World Knowledge of Large Language Models.

Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MM-MATH: Advancing Multimodal Math Evaluation with Process Evaluation and Fine-grained Classification.

Kai Sun, Yushi Bai, Ji Qi, Lei Hou, Juan-Zi Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LongAlign: A Recipe for Long Context Alignment of Large Language Models.

Yushi Bai, Xin Lv, Jiajie Zhang, Yuze He, Ji Qi, Lei Hou, Jie Tang, Yuxiao Dong, Juanzi Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

CogVLM: Visual Expert for Pretrained Language Models.

Weihan Wang, Qingsong Lv, Wenmeng Yu, Wenyi Hong, Ji Qi, Yan Wang, Junhui Ji, Zhuoyi Yang, Lei Zhao, Xixuan Song, Jiazheng Xu, Bin Xu, Juanzi Li, Yuxiao Dong, Ming Ding, Jie Tang

CoRR, 2023

Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environment.

Ji Qi, Kaixuan Ji, Xiaozhi Wang, Jifan Yu, Kaisheng Zeng, Lei Hou, Juanzi Li, Bin Xu

CoRR, 2023

BiLL-VTG: Bridging Large Language Models and Lightweight Visual Tools for Video-based Texts Generation.

Ji Qi, Kaixuan Ji, Jifan Yu, Duokang Wang, Bin Xu, Lei Hou, Juanzi Li

CoRR, 2023

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction.

Ji Qi, Chuchun Zhang, Xiaozhi Wang, Kaisheng Zeng, Jifan Yu, Jinxin Liu, Jiuding Sun, Yuxiang Chen, Lei How, Juanzi Li, Bin Xu

CoRR, 2023

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation.

Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Yuxiao Dong, Bin Xu, Lei Hou, Juanzi Li, Jie Tang, Weidong Guo, Hui Liu, Yu Xu

CoRR, 2023

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction.

Ji Qi, Chuchun Zhang, Xiaozhi Wang, Kaisheng Zeng, Jifan Yu, Jinxin Liu, Lei Hou, Juanzi Li, Xu Bin

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation.

Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li, Jie Tang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction.

Ji Qi, Bin Xu, Kaisheng Zeng, Jinxin Liu, Jifan Yu, Qi Gao, Juanzi Li, Lei Hou

CoRR, 2022

Syntactically Robust Training on Partially-Observed Data for Open Information Extraction.

Ji Qi, Yuxiang Chen, Lei Hou, Juanzi Li, Bin Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms.

Jinxin Liu, Jiaxin Shi, Ji Qi, Lei Hou, Juanzi Li, Qi Tian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Deep Gaussian Mixture Model on Multiple Interpretable Features of Fetal Heart Rate for Pregnancy Wellness.

Yan Kong, Bin Xu, Bowen Zhao, Ji Qi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

DiaKG: An Annotated Diabetes Dataset for Medical Knowledge Graph Construction.

Dejie Chang, Mosha Chen, Chaozhen Liu, Liping Liu, Dongdong Li, Wei Li, Fei Kong, Bangchang Liu, Xiaobin Luo, Ji Qi, Qiao Jin, Bin Xu

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

2019

Using GAN to Generate Sport News from Live Game Stats.

Changliang Li, Yixin Su, Ji Qi, Min Xiao

Proceedings of the Cognitive Computing - ICCC 2019, 2019

2018

Building Corpus with Emoticons for Sentiment Analysis.

Changliang Li, Yongguan Wang, Changsong Li, Ji Qi, Pengyuan Liu

Proceedings of the Natural Language Processing and Chinese Computing, 2018

A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding.

Changliang Li, Liang Li, Ji Qi

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018