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Liangming Pan

Postdoctoral Scholar

University of California, Santa Barbara (UCSB)

Biography

Liangming Pan (潘亮铭) is a Postdoctoral Scholar at the Natural Language Processing Group, University of California, Santa Barbara (UCSB), working with Prof. William Yang Wang. He obtained his Ph.D. from the National University of Singapore in Jan 2022, jointly advised by Prof. Min-Yen Kan and Prof. Tat-Seng Chua. Before joining NUS, he received Master’s degree from the School of Computer Science at Tsinghua University in June 2017, working with Prof. Juanzi Li and Prof. Jie Tang. He obtained his Bachelor’s degree from Beihang University (2010 - 2014). He was a visiting Ph.D. student from 2020 to 2021, supervised by Prof. William Yang Wang.

His broad research interests include natural language processing, machine learning, and data mining. To be specific, his research topics include Trustworthy Large Language Models, Neuro-Symbolic Reasoning, Question Answering, and Automated Fact Checking.

Interests

  • Question Answering
  • Question Generation
  • Fact Checking
  • Knowledge Graph

Education

  • PhD in Computer Science, 2018 — 2022

    National University of Singapore

  • MEng in Computer Science, 2014 — 2017

    Tsinghua University

  • BSc in Software Engineering, 2010 — 2014

    Beihang University

News

Announcement: I am on the academic job market for 2024 Fall, with a research focus on factuality, reasoning, and safety of large language models. Open to opportunities worldwide. Feel free to send me an email at liangmingpan@ucsb.edu if your department has open positions. Thanks!
Dec 2023 Invited talk "Combating Misinformation in the age of LLMs" at NUS Centre for Trusted Internet and Community. [Slides]
Nov 2023 Our paper Attacking Open-domain Question Answering by Injecting Misinformation received the Area Chair Award (Question Answering) at IJCNLP-AACL 2023.
Oct 2023 I have 8 papers accepted by EMNLP 2023 (4 Main Conference, 3 Findings, 1 Demo). Topics involves logical reasoning, safety, and evaluation of LLMs.
Aug 2023 New Survey Paper! Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies. We also create a paper list.
May 2023 New Preprint! Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.
May 2023 Our paper Fact-Checking Complex Claims with Program-Guided Reasoning was accepted by the main conference of ACL 2023.
Feb 2023 Our paper Hashtag-Guided Low-Resource Tweet Classification was accepted by WWW 2023.
Feb 2023 Invited Talk "Building Data-efficient and Explainable Fact-Checking Models" at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Dec 2022 I will serve as an Area Chair for the Question Answering track of ACL 2023.
Dec 2022 Starting from Dec 2022, I am thrilled to join the UC Santa Barbara Natural Language Processing Group as a Postdoctoral Scholar, working with Prof. William Yang Wang.
Sep 2022 From September to December, I joined Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) as a short-term Research Fellow, working with Prof. Preslav Nakov.
Aug 2022 Two papers accepted by COLING 2022: CoHS-CQG: Context and History Selection for Conversational Question Generation, and KHANQ: A Dataset for Generating Deep Questions in Education.
Jun 2022 I am thrilled to announce that I have received my Ph.D. degree!
May 2022 One paper accepted by BEA Workshop @ NAACL 2022: Automatic True/False Question Generation for Educational Purpose.
Apr 2022 Talk "Towards generating deep questions from text" at Singapore Management University (SMU).
Apr 2022 One paper accepted by ICMR 2022: Ingredient-enriched Recipe Generation from Cooking Videos.
Mar 2022 Invited talk "Applications of Question Generation in NLP" for Pie & AI: Singapore, organized by deeplearning.ai. [Slides]
Mar 2022 Two papers accepted by ACL 2022 + Findings: KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base (main conference), and Interpreting the Robustness of Neural NLP Models to Textual Perturbations (findings).
Jan 2022 Submitted my Ph.D. thesis "Towards generating deep questions from text"
Aug 2021 Invited talk "Towards generating human-like deep questions" for Monthly NLP Talks at NTU-NLP. [Slides] [Video]
May 2021 One paper accepted by ACL-IJCNLP 2021: Zero-shot Fact Verification by Claim Generation (short paper). [Codes]
Mar 2021 One paper accepted by NAACL 2021: Unsupervised Multi-hop Question Answering by Question Generation (long paper). [Codes]
Feb 2021 An invited talk "Towards generating human-like deep questions" at School of Computing, National University of Singapore.
Jan 2021 I received the Dean's Graduate Research Excellence Award of 2019/2020 Semester 2 from the School of Computing, National University of Singapore.
Nov 2020 I will serve as a Senior Program Committee (SPC) Member for IJCAI 2021
Oct 2020 One paper accepted by COLING 2020: Exploring Question-Specific Rewards for Generating Deep Questions (long paper, acceptance rate: 32.9%). [Codes]
Sep 2020 One paper accepted by EMNLP 2020: Exploring and Evaluating Attributes, Values, and Structure for Entity Alignment (long paper, acceptance rate: 22.4%).
Sep 2020 I received the Research Achievement Reward of 2019/2020 Semester 1 from the School of Computing, National University of Singapore.
Aug 2020 I was invited to give a talk at the Department of Computer Science, Fudan University with the topic "Question Generation with Deep Reasoning"
Jul 2020 One paper accepted by ACM MM 2020: Multi-modal Cooking Workflow Construction for Food Recipes (oral presentation, acceptance rate: 27.8%).
Jul 2020 From August 2020 to July 2021, I am joining the UC Santa Barbara Natural Language Processing Group as a visiting Ph.D. student, supervised by Prof. William Wang.
Apr 2020 Two papers accepted by ACL 2020: Semantic Graphs for Generating Deep Questions, and Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen (acceptance rate: 25.2%).
Feb 2020 Our paper accepted by CVPR 2020: Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (acceptance rate: 22%).
Dec 2019 A paper list on Github to summarize the recent research on neural question generation.
Nov 2019 Our paper accepted by AAAI 2020: Zero-shot Ingredient Recognition by Multi-Relational Graph Convolutional Network (acceptance rate: 20.6%).
May 2019 A survey paper on Recent Advances in Neural Question Generation.

Publications

Quickly discover relevant content by filtering publications.

Projects

Paper List for Self-Correction LLMs Survey Star

Paper list for our survey paper ‘Automatically Correcting Large Language Models: Surveying the landscape of diverse …

Logic-LM: Empowering LLMs with Symbolic Solvers Star

Codes for ‘LOGIC-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning’.

Program-FC Star

Codes for ACL 2023 Paper “Fact-Checking Complex Claims with Program-Guided Reasoning”.

Zero-shot-Fact-Verification Star

Codes for ACL-IJCNLP 2021 Paper “Zero-shot Fact Verification by Claim Generation”.

Unsupervised-Multi-hop-QA Star

Codes for NAACL 2021 Paper “Unsupervised Multi-hop Question Answering by Question Generation”.

SG-Deep Question Generation Star

This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).

Question Generation Paper List Star

A paper list that summarizes the recent papers on neural question generation.

Talks

Services

  • Area Chair (Question Answering Track) of ACL 2023.
  • Invited Reviewer of TACL.
  • Program Committee Member of EMNLP 2023, AAAI 2024.
  • Program Committee Member of ACL 2022, EMNLP 2022.
  • Senior Program Committee Member of IJCAI 2021.
  • Program Committee Member of ACL/IJCNLP 2021.
  • Invited Reviewer of TASLP, IEEE Access.