Experiences
Tencent AI Lab
Senior Researcher • Feb. 2022 to Present
Large Langauge Models, Natural Language Generation
Text Generation Group: Pleasurly led by Shuming Shi , in close collaboration with
Deng Cai ,
Wei Bi ,
Leyang Cui ,
Haiyun Jiang
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Bytedance AI Lab
Research Engineer Intern • Feb. 2021 to July. 2021
Knowledge augmented dialogue system
Mentor: Hang Li
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Microsoft Research Asia
Research Intern • Feb. 2017 to July. 2017
Personalized generative recommendation
Mentor: Ruihua Song
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Publications
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(†: Corresponding author)
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Model Merging
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Knowledge Fusion of Large Language Models
Fanqi Wan,
Xinting Huang †,
Deng Cai,
Xiaojun Quan,
Wei Bi,
Shuming Shi,
ICLR, 2024
🤗Huggingface Models
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media coverage (twitter)
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media coverage (zh)
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Github
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FuseChat: Knowledge Fusion of Chat Models
Fanqi Wan,
Ziyi Yang,
Longguang Zhong,
Xiaojun Quan,
Xinting Huang,
Wei Bi
Technical Report, 2024
🤗Huggingface Models
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media coverage (twitter)
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media coverage (zh)
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Github
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Planning and reasoning
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SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving
Xueliang Zhao,
Xinting Huang †,
Wei Bi, Lingpeng Kong
Prepint, 2024
Github
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BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models
Xueliang Zhao,
Xinting Huang †,
Tingchen Fu, Qintong Li, Shansan Gong, Lemao Liu, Wei Bi, Lingpeng Kong
Prepint, 2024
Github
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Alignment
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Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
Fanqi Wan, Xinting Huang †, Tao Yang, Xiaojun Quan, Wei Bi, Shuming Shi
EMNLP, 2023
🤗Huggingface Models
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media coverage (zh)
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Github
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Mitigating Hallucinations of Large Language Models via Knowledge Consistent Alignment
Fanqi Wan, Xinting Huang †, Leyang Cui, Xiaojun Quan, Wei Bi, Shuming Shi
Preprint, 2024
🤗Huggingface Models
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Github
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TeGit: Generating High-Quality Instruction-Tuning Data with Text-Grounded Task Design
Yongrui Chen, Haiyun Jiang,
Xinting Huang,
Shuming Shi, Guilin Qi
NAACL, 2024
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Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance
Yue Zhang, Leyang Cui, Deng Cai,
Xinting Huang,
Tao Fang, Wei Bi
Preprint, 2023
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Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration
Chenyang Lyu, Minghao Wu, Longyue Wang,
Xinting Huang,
Bingshuai Liu, Zefeng Du, Shuming Shi, Zhaopeng Tu
Preprint, 2023
media coverage (zh)
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Github
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Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
Tencent AI Lab NLP Group
Preprint, 2023
media coverage (zh)
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Dialogue systems
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Pre-training Multi-party Dialogue Models with Latent Discourse Inference
Yiyang Li,
Xinting Huang †,
Wei Bi, Hai Zhao
ACL, 2023
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Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering
Shiquan Yang,
Xinting Huang †,
Jey Han Lau, Sarah Erfani
EMNLP Findings, 2022
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Latent reasoning for low-resource question generation
Xinting Huang,
Jianzhong Qi, Yu Sun, Rui Zhang
ACL Findings, 2021
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Generalizable and Explainable Dialogue Generation via Explicit Action Learning
Xinting Huang,
Jianzhong Qi, Yu Sun, Rui Zhang
EMNLP Findings, 2020
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Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation
Xinting Huang,
Jianzhong Qi, Yu Sun, Rui Zhang
ACL, 2020
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MALA: Cross-domain dialogue generation with action learning
Xinting Huang,
Jianzhong Qi, Yu Sun, Rui Zhang
AAAI, 2020
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LLM PaaS
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Inferflow: an Efficient and Highly Configurable Inference Engine for Large Language Models
Tencent AI Lab NLP Group
Technical Report, 2024
Project Homepage
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Github
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media coverage (weibo)
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Effidit: An Assistant for Improving Writing Efficiency
Tencent AI Lab NLP Group
ACL (System Demonstrations), 2023
Project Homepage
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Demo
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media coverage (zh)
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media coverage (en)
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Education
Ph.D.
Feb. 2018 - Feb. 2022
School of Computing and Information Systems, The University of Melbourne, Australia
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B.S.
Sep. 2013 - Jun. 2017
School of Information, Renmin University of China (RUC)
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Professional Activities
Program Committee Member/Reviewer:
ACL Rolling Review(2022- ), ACL(2021-2023), EMNLP(2021-2023), NAACL(2021-2023)
AAAI(2019- ), WSDM(2020- ), NeurIPS(2021- )
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