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Fangkai Jiao
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2020 – today
- 2024
- [c7]Bin Wang, Zhengyuan Liu, Xin Huang, Fangkai Jiao, Yang Ding, AiTi Aw, Nancy Chen:
SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning. NAACL-HLT 2024: 370-390 - [c6]Fangkai Jiao, Zhiyang Teng, Bosheng Ding, Zhengyuan Liu, Nancy F. Chen, Shafiq Joty:
Exploring Self-supervised Logic-enhanced Training for Large Language Models. NAACL-HLT 2024: 926-941 - [i14]Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, Nancy F. Chen, Shafiq Joty:
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing. CoRR abs/2402.00658 (2024) - [i13]Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty:
How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library. CoRR abs/2404.00699 (2024) - [i12]Chengwei Qin, Wenhan Xia, Tan Wang, Fangkai Jiao, Yuchen Hu, Bosheng Ding, Ruirui Chen, Shafiq Joty:
Relevant or Random: Can LLMs Truly Perform Analogical Reasoning? CoRR abs/2404.12728 (2024) - [i11]Mengzhao Jia, Zhihan Zhang, Wenhao Yu, Fangkai Jiao, Meng Jiang:
Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training. CoRR abs/2404.14604 (2024) - 2023
- [j2]Fangkai Jiao, Yangyang Guo, Minlie Huang, Liqiang Nie:
Enhanced Multi-Domain Dialogue State Tracker With Second-Order Slot Interactions. IEEE ACM Trans. Audio Speech Lang. Process. 31: 265-276 (2023) - [c5]Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Do Xuan Long, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq Joty:
Retrieving Multimodal Information for Augmented Generation: A Survey. EMNLP (Findings) 2023: 4736-4756 - [i10]Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Xuan Long Do, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq R. Joty:
Retrieving Multimodal Information for Augmented Generation: A Survey. CoRR abs/2303.10868 (2023) - [i9]Fangkai Jiao, Bosheng Ding, Tianze Luo, Zhanfeng Mo:
Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models. CoRR abs/2305.03025 (2023) - [i8]Fangkai Jiao, Zhiyang Teng, Shafiq R. Joty, Bosheng Ding, Aixin Sun, Zhengyuan Liu, Nancy F. Chen:
LogicLLM: Exploring Self-supervised Logic-enhanced Training for Large Language Models. CoRR abs/2305.13718 (2023) - [i7]Bin Wang, Zhengyuan Liu, Xin Huang, Fangkai Jiao, Yang Ding, Ai Ti Aw, Nancy F. Chen:
SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning. CoRR abs/2309.04766 (2023) - [i6]Yanyang Guo, Fangkai Jiao, Zhiqi Shen, Liqiang Nie, Mohan S. Kankanhalli:
UNK-VQA: A Dataset and A Probe into Multi-modal Large Models' Abstention Ability. CoRR abs/2310.10942 (2023) - [i5]Hailin Chen, Fangkai Jiao, Xingxuan Li, Chengwei Qin, Mathieu Ravaut, Ruochen Zhao, Caiming Xiong, Shafiq Joty:
ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up? CoRR abs/2311.16989 (2023) - [i4]Chengwei Qin, Wenhan Xia, Fangkai Jiao, Shafiq Joty:
Improving In-context Learning via Bidirectional Alignment. CoRR abs/2312.17055 (2023) - 2022
- [c4]Fangkai Jiao, Yangyang Guo, Xuemeng Song, Liqiang Nie:
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning. ACL (Findings) 2022: 3496-3509 - [c3]Weili Guan, Fangkai Jiao, Xuemeng Song, Haokun Wen, Chung-Hsing Yeh, Xiaojun Chang:
Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning. SIGIR 2022: 482-491 - [i3]Fangkai Jiao, Yangyang Guo, Xuemeng Song, Liqiang Nie:
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning. CoRR abs/2203.00357 (2022) - 2021
- [j1]Liqiang Nie, Fangkai Jiao, Wenjie Wang, Yinglong Wang, Qi Tian:
Conversational Image Search. IEEE Trans. Image Process. 30: 7732-7743 (2021) - [c2]Fangkai Jiao, Yangyang Guo, Yilin Niu, Feng Ji, Feng-Lin Li, Liqiang Nie:
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training. ACL/IJCNLP (Findings) 2021: 150-163 - [i2]Fangkai Jiao, Yangyang Guo, Yilin Niu, Feng Ji, Feng-Lin Li, Liqiang Nie:
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training. CoRR abs/2105.04201 (2021) - 2020
- [c1]Yilin Niu, Fangkai Jiao, Mantong Zhou, Ting Yao, Jingfang Xu, Minlie Huang:
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction. ACL 2020: 3916-3927 - [i1]Yilin Niu, Fangkai Jiao, Mantong Zhou, Ting Yao, Jingfang Xu, Minlie Huang:
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction. CoRR abs/2005.05189 (2020)
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