Fangkai Jiao

According to our database, Fangkai Jiao authored at least 26 papers between 2020 and 2025.

Collaborative distances:

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

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

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

Preference Optimization for Reasoning with Pseudo Feedback.

Fangkai Jiao, Geyang Guo, Xingxing Zhang, Nancy F. Chen, Shafiq Joty, Furu Wei

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?

Chengwei Qin, Wenhan Xia, Tan Wang, Fangkai Jiao, Yuchen Hu, Bosheng Ding, Ruirui Chen, Shafiq Joty

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning.

Chengwei Qin, Wenhan Xia, Fangkai Jiao, Chen Chen, Yuchen Hu, Bosheng Ding, Ruirui Chen, Shafiq Joty

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

UNK-VQA: A Dataset and a Probe Into the Abstention Ability of Multi-Modal Large Models.

Yangyang Guo, Fangkai Jiao, Zhiqi Shen, Liqiang Nie, Mohan S. Kankanhalli

IEEE Trans. Pattern Anal. Mach. Intell., December, 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

The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense.

Yangyang Guo, Fangkai Jiao, Liqiang Nie, Mohan S. Kankanhalli

CoRR, 2024

Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training.

Mengzhao Jia, Zhihan Zhang, Wenhao Yu, Fangkai Jiao, Meng Jiang

CoRR, 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

SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning.

Bin Wang, Zhengyuan Liu, Xin Huang, Fangkai Jiao, Yang Ding, AiTi Aw, Nancy F. Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Exploring Self-supervised Logic-enhanced Training for Large Language Models.

Fangkai Jiao, Zhiyang Teng, Bosheng Ding, Zhengyuan Liu, Nancy F. Chen, Shafiq Joty

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing.

Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, Nancy F. Chen, Shafiq Joty

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Improving In-context Learning via Bidirectional Alignment.

Chengwei Qin, Wenhan Xia, Fangkai Jiao, Shafiq Joty

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

UNK-VQA: A Dataset and A Probe into Multi-modal Large Models' Abstention Ability.

Yanyang Guo, Fangkai Jiao, Zhiqi Shen, Liqiang Nie, Mohan S. Kankanhalli

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

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

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning.

Weili Guan, Fangkai Jiao, Xuemeng Song, Haokun Wen, Chung-Hsing Yeh, Xiaojun Chang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning.

Fangkai Jiao, Yangyang Guo, Xuemeng Song, Liqiang Nie

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

2021

Conversational Image Search.

Liqiang Nie, Fangkai Jiao, Wenjie Wang, Yinglong Wang, Qi Tian

IEEE Trans. Image Process., 2021

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction.

Yilin Niu, Fangkai Jiao, Mantong Zhou, Ting Yao, Jingfang Xu, Minlie Huang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020