Traffic Accident Prediction Methods Based on Multi-factor Models. - Haozhe Zhao; Guozheng Rao (KSEM, 2021)

Empowering MultiModal Models' In-Context Learning Ability through Large Language Models. - Wenjuan Han; Haozhe Zhao; Zefan Cai (ACM TUR-C, 2023)

Coarse-to-Fine Dual Encoders are Better Frame Identification Learners. - Kaikai An; Ce Zheng; Bofei Gao; Haozhe Zhao; Baobao Chang (EMNLP (Findings), 2023)

Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection. - Lewen Wang; Haozhe Zhao; Cunguang Feng; Weiqing Liu; Congrui Huang; Marco Santoni; Manuel Cristofaro; Paola Jafrancesco; Jiang Bian 002 (KDD, 2023)

Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond. - Liang Chen 024; Yichi Zhang; Shuhuai Ren; Haozhe Zhao; Zefan Cai; Yuchi Wang; Peiyi Wang; Tianyu Liu 001; Baobao Chang (CoRR, 2023)

Distantly-Supervised Named Entity Recognition with Uncertainty-aware Teacher Learning and Student-student Collaborative Learning. - Helan Hu; Shuzheng Si; Haozhe Zhao; Shuang Zeng; Kaikai An; Zefan Cai; Baobao Chang (CoRR, 2023)

ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks. - Yuliang Liu; Xiangru Tang; Zefan Cai; Junjie Lu; Yichi Zhang; Yanjun Shao; Zexuan Deng; Helan Hu; Zengxian Yang; Kaikai An; Ruijun Huang; Shuzheng Si; et al. (CoRR, 2023)

PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. - Liang Chen 024; Yichi Zhang; Shuhuai Ren; Haozhe Zhao; Zefan Cai; Yuchi Wang; Peiyi Wang; Xiangdi Meng; Tianyu Liu 001; Baobao Chang (ACL (Findings), 2024)

Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning. - Shuzheng Si; Helan Hu; Haozhe Zhao; Shuang Zeng; Kaikai An; Zefan Cai; Baobao Chang (ACL (Findings), 2024)

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. - Liang Chen 024; Haozhe Zhao; Tianyu Liu 001; Shuai Bai; Junyang Lin; Chang Zhou; Baobao Chang (ECCV (81), 2024)

MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. - Haozhe Zhao; Zefan Cai; Shuzheng Si; Xiaojian Ma 001; Kaikai An; Liang Chen 024; Zixuan Liu 001; Sheng Wang 012; Wenjuan Han; Baobao Chang (ICLR, 2024)

Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation. - Haozhe Zhao; Zefan Cai; Shuzheng Si; Liang Chen 024; Yufeng He; Kaikai An; Baobao Chang (NAACL-HLT, 2024)

UltraEdit: Instruction-based Fine-Grained Image Editing at Scale. - Haozhe Zhao; Xiaojian (Shawn) Ma; Liang Chen 024; Shuzheng Si; Rujie Wu; Kaikai An; Peiyu Yu; Minjia Zhang; Qing Li 003; Baobao Chang (NeurIPS, 2024)

Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints. - Kaikai An; Shuzheng Si; Helan Hu; Haozhe Zhao; Yuchi Wang; Qingyan Guo; Baobao Chang (CoRR, 2024)

Selecting Influential Samples for Long Context Alignment via Homologous Models' Guidance and Contextual Awareness Measurement. - Shuzheng Si; Haozhe Zhao; Gang Chen 039; Yunshui Li; Kangyang Luo; Chuancheng Lv; Kaikai An; Fanchao Qi; Baobao Chang; Maosong Sun 001 (CoRR, 2024)

Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance. - Haozhe Zhao; Shuzheng Si; Liang Chen 024; Yichi Zhang; Maosong Sun 001; Mingjia Zhang; Baobao Chang (CoRR, 2024)

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey. - Liang Chen 024; Zekun Wang; Shuhuai Ren; Lei Li 039; Haozhe Zhao; Yunshui Li; Zefan Cai; Hongcheng Guo; Lei Zhang 201; Yizhe Xiong; Yichi Zhang; Ruoyu Wu; et al. (CoRR, 2024)

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering. - Shuzheng Si; Haozhe Zhao; Gang Chen 039; Cheng Gao; Yuzhuo Bai; Zhitong Wang; Kaikai An; Kangyang Luo; Chen Qian; Fanchao Qi; Baobao Chang; Maosong Sun 001 (ACL (1), 2025)

A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation. - Liang Chen 024; Sinan Tan; Zefan Cai; Weichu Xie; Haozhe Zhao; Yichi Zhang; Junyang Lin; Jinze Bai; Tianyu Liu 001; Baobao Chang (ICLR, 2025)

MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. - Jinsheng Huang; Liang Chen 024; Taian Guo; Fu Zeng; Yusheng Zhao; Bohan Wu; Ye Yuan 016; Haozhe Zhao; Zhihui Guo; Yichi Zhang; Jingyang Yuan; Wei Ju 001; et al. (NAACL (Long Papers), 2025)

LongViTU: Instruction Tuning for Long-Form Video Understanding. - Rujie Wu; Xiaojian Ma 001; Hai Ci; Yue Fan; Yuxuan Wang 004; Haozhe Zhao; Qing Li 003; Yizhou Wang 001 (CoRR, 2025)

Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think. - Liang Chen 024; Shuai Bai; Wenhao Chai; Weichu Xie; Haozhe Zhao; Leon Vinci; Junyang Lin; Baobao Chang (CoRR, 2025)

Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning. - Shuzheng Si; Haozhe Zhao; Cheng Gao; Yuzhuo Bai; Zhitong Wang; Bofei Gao; Kangyang Luo; Wenhao Li 003; Yufei Huang 008; Gang Chen 039; Fanchao Qi; Minjia Zhang; et al. (CoRR, 2025)

MENTOR: Efficient Multimodal-Conditioned Tuning for Autoregressive Vision Generation Models. - Haozhe Zhao; Zefan Cai; Shuzheng Si; Liang Chen 024; Jiuxiang Gu; Wen Xiao; Junjie Hu (CoRR, 2025)

NEP: Autoregressive Image Editing via Next Editing Token Prediction. - Huimin Wu; Xiaojian Ma; Haozhe Zhao; Yanpeng Zhao; Qing Li (CoRR, 2025)