A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction. - Yilin Niu; Fangkai Jiao; Mantong Zhou; Ting Yao; Jingfang Xu; Minlie Huang (ACL, 2020)

REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training. - Fangkai Jiao; Yangyang Guo; Yilin Niu; Feng Ji; Feng-Lin Li; Liqiang Nie (ACL/IJCNLP (Findings), 2021)

Conversational Image Search. - Liqiang Nie; Fangkai Jiao; Wenjie Wang 007; Yinglong Wang 001; Qi Tian 001 (IEEE Trans. Image Process., 2021)

MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning. - Fangkai Jiao; Yangyang Guo; Xuemeng Song; Liqiang Nie (ACL (Findings), 2022)

Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning. - Weili Guan; Fangkai Jiao; Xuemeng Song; Haokun Wen; Chung-Hsing Yeh; Xiaojun Chang (SIGIR, 2022)

Retrieving Multimodal Information for Augmented Generation: A Survey. - Ruochen Zhao; Hailin Chen; Weishi Wang; Fangkai Jiao; Do Xuan Long; Chengwei Qin; Bosheng Ding; Xiaobao Guo; Minzhi Li; Xingxuan Li; Shafiq Joty (EMNLP (Findings), 2023)

Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models. - Fangkai Jiao; Bosheng Ding; Tianze Luo; Zhanfeng Mo (CoRR, 2023)

LogicLLM: Exploring Self-supervised Logic-enhanced Training for Large Language Models. - Fangkai Jiao; Zhiyang Teng; Shafiq R. Joty; Bosheng Ding; Aixin Sun; Zhengyuan Liu; Nancy F. Chen (CoRR, 2023)

UNK-VQA: A Dataset and A Probe into Multi-modal Large Models' Abstention Ability. - Yanyang Guo; Fangkai Jiao; Zhiqi Shen 002; Liqiang Nie; Mohan S. Kankanhalli (CoRR, 2023)

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up? - Hailin Chen; Fangkai Jiao; Xingxuan Li; Chengwei Qin; Mathieu Ravaut; Ruochen Zhao; Caiming Xiong; Shafiq Joty (CoRR, 2023)

Improving In-context Learning via Bidirectional Alignment. - Chengwei Qin; Wenhan Xia; Fangkai Jiao; Shafiq Joty (CoRR, 2023)

Enhanced Multi-Domain Dialogue State Tracker With Second-Order Slot Interactions. - Fangkai Jiao; Yangyang Guo; Minlie Huang; Liqiang Nie (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing. - Fangkai Jiao; Chengwei Qin; Zhengyuan Liu; Nancy F. Chen; Shafiq Joty (EMNLP, 2024)

Exploring Self-supervised Logic-enhanced Training for Large Language Models. - Fangkai Jiao; Zhiyang Teng; Bosheng Ding; Zhengyuan Liu; Nancy F. Chen; Shafiq Joty (NAACL-HLT, 2024)

SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning. - Bin Wang 040; Zhengyuan Liu; Xin Huang; Fangkai Jiao; Yang Ding; AiTi Aw; Nancy F. Chen (NAACL-HLT, 2024)

How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library. - Mathieu Ravaut; Bosheng Ding; Fangkai Jiao; Hailin Chen; Xingxuan Li; Ruochen Zhao; Chengwei Qin; Caiming Xiong; Shafiq Joty (CoRR, 2024)

Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training. - Mengzhao Jia; Zhihan Zhang 001; Wenhao Yu 002; Fangkai Jiao; Meng Jiang 001 (CoRR, 2024)

The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense. - Yangyang Guo; Fangkai Jiao; Liqiang Nie; Mohan S. Kankanhalli (CoRR, 2024)

StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs. - Hailin Chen; Fangkai Jiao; Mathieu Ravaut; Nawshad Farruque; Xuan-Phi Nguyen; Chengwei Qin; Manan Dey; Bosheng Ding; Caiming Xiong; Shafiq Joty; Yingbo Zhou (CoRR, 2024)

UNK-VQA: A Dataset and a Probe Into the Abstention Ability of Multi-Modal Large Models. - Yangyang Guo; Fangkai Jiao; Zhiqi Shen 002; Liqiang Nie; Mohan S. Kankanhalli (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks. - Xingxuan Li; Weiwen Xu; Ruochen Zhao; Fangkai Jiao; Shafiq Joty; Lidong Bing (ACL (1), 2025)

Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning. - Chengwei Qin; Wenhan Xia; Fangkai Jiao; Chen Chen 075; Yuchen Hu; Bosheng Ding; Ruirui Chen 002; Shafiq Joty (ACL (1), 2025)

Relevant or Random: Can LLMs Truly Perform Analogical Reasoning? - Chengwei Qin; Wenhan Xia; Tan Wang; Fangkai Jiao; Yuchen Hu; Bosheng Ding; Ruirui Chen 002; Shafiq Joty (ACL (Findings), 2025)

Preference Optimization for Reasoning with Pseudo Feedback. - Fangkai Jiao; Geyang Guo; Xingxing Zhang; Nancy F. Chen; Shafiq Joty; Furu Wei (ICLR, 2025)

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems. - Zixuan Ke; Fangkai Jiao; Yifei Ming; Xuan-Phi Nguyen; Austin Xu; Do Xuan Long; Minzhi Li; Chengwei Qin; Peifeng Wang; Silvio Savarese; Caiming Xiong; Shafiq Joty (Trans. Mach. Learn. Res., 2025)

A Comprehensive Survey of Contamination Detection Methods in Large Language Models. - Mathieu Ravaut; Bosheng Ding; Fangkai Jiao; Hailin Chen; Xingxuan Li; Ruochen Zhao; Chengwei Qin; Caiming Xiong; Shafiq Joty (Trans. Mach. Learn. Res., 2025)