52 NLP

About me

My name is Kun Xu. From January 2023 to January 2025, I served as a Manager and Researcher at Kuaishou. Prior to that, I worked as a Senior Researcher at Tencent AI Lab in Seattle, USA, from September 2018 to December 2021. Before joining Tencent, I was a postdoctoral researcher at the IBM T.J. Watson Research Center in the United States.

I hold a PhD in Natural Language Processing and Machine Learning from Peking University, where I was supervised by Professors Yansong Feng and Dongyan Zhao.

My research interests include various aspects of Natural Language Processing (NLP), with a focus on Multi-Modal NLP, Semantic Parsing, Knowledge-Based Question Answering, Information Extraction, and Natural Language Interfaces to Databases.

You can find me at: Google Scholar.

News

[Jan. 2025] We have one paper accepted by ICLR 2025.
[Dec. 2014] We have one paper accepted by AAAI 2025.
[Sep. 2014] We have one paper accepted by NeruIPS 2024.
[May. 2024] We have one paper accepted by ACL 2024.
[May. 2024] Our Video-LaVIT is accepted by ICML 2024. [project]
[Feb. 2024] Our paper on Probing MultiModal LLMs is accepted by Coling 2024.
[Feb. 2024] We propose a new text-to-video model, Video-Lavit. [paper][project]
[Jan. 2024] Our Multi-Modal paper LaVIT is accepted by ICLR24.
[Nov. 2023] We released our multi-modal model LaVIT. [paper][code]
[Oct. 2023] We have one paper accepted by TASLP.
[Sep. 2023] My team released the first application of LLM in Micro-video scenario, KwaiTalk. [News]
[May. 2023] We have one paper accepted by PAMI 2023.
[Oct. 2022] We have one paper accepted by EMNLP 2022.
[Apirl. 2022] We have one paper accepted by NAACL 2022.
[Mar. 2022] We have one paper accepted by ACL 2022.
[Sep. 2021] We have four papers accepted by EMNLP 2021.
[Aug. 2021] Our paper on Commonsense Knowledge Graph is accepted by TACL 2021.
[May. 2021] Our papers on Dialogue Understanding and Dialogue Generation are accepted by ACL 2021.
[Apirl. 2021] Our paper on Grammar Induction was accepted by NAACL2021 and won the BEST Long Paper Award !
[Mar. 2021] Our paper on Conversation Semantic Role Labeling is accepted by IEEE Transactions on Audio, Speech and Language Processing.
[Mar. 2021] Our paper on image grounding is accepted by CVPR 2021.
[Jan. 2021] Our paper on conversation Coreference Resolution is accepted by EACL 2021.
[Jan. 2021] The techinical report of our Tencent NLP tool TexSmart is published (https://arxiv.org/pdf/2012.15639.pdf) !
[Oct. 2020] Our team (Kun Xu, Linfeng Song and Liwei Wang) won the first prize in the JD multi-modal dialogue challenge among almost 400 teams and we are invited to give an online presentation in CCL 2020. More details could be found in https://jddc.jd.com/notification/detail/38.
[Sep. 2020] My paper on Dialogue Rewriting got accepted by EMNLP 2020.
[Sep. 2020] Our paper on TTS got accepted by InterSpeech 2020.
[Apirl. 2020] Our two papers got accepted by ACL 2020.
[Nov. 2019] Our two papers got accepted by AAAI 2019.
[Aug. 2019] Our paper got accepted by EMNLP 2019.
[May. 2019] Our three papers got accepted by ACL 2019.
[Apr. 2019] Our two papers got accepted by KDD 2019.
[Feb. 2019] My paper on KB-QA got accepted by NAACL 2019.
[Nov. 2018] Our paper on QA got accepted by AAAI 2019.
[Nov. 2018] Our paper get accepted by NIPS18' workshop on Relational Representation Learning.
[Aug. 2018] Our 3 papers got accepted by EMNLP 2018.
[Dec. 2017] Our papers got accepted to present at LREC 2018.
[Nov. 2016] My paper on a novel hybrid QA model got accepted by COLING 2016
[May 2016] My paper on hybrid QA over Freebase and Wikipedia got accepted by ACL 2016
[May 2016] We won the First Place in the QALD-6 (Question Answering over Linked Data) Evaluation
[Jul. 2015] Our short paper on relation extraction got accepted by EMNLP 2015
[Jul. 2015] We are invited to present our QA system (Best of the CLEF'14 Labs) at CLEF 2015
[Jun. 2015] Our short paper on semantic interpretations for superlative expressions got accepted by ACL 2015
[May. 2015] We won the First Place in the CLEF-QALD5 (Question Answering over Linked Data) Evaluation

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