CFAR
  • About A*STAR CFAR
    • Vision & Mission
    • Director's Message
    • Management
    • Our Team
  • Research
    • Research Pillars
      • AI for Science
      • Theory and Optimisation in AI
      • Artificial General Intelligence
      • Sustainable AI
      • Resilient & Safe AI
    • Participations
    • Publications
  • Talent
    • Career
    • Internship
    • Scholarship
    • Affiliated PhD students
    • Alumni
  • News
  • Events
    • Talks
    • Past Talks
    • 2024 IEEE Conference on Artificial Intelligence
  • Contact
  • Home
  • A*STAR CFAR
  • News
  • Features
  • A*STAR CFAR
  • About A*STAR CFAR
    • Vision & Mission
    • Director's Message
    • Management
    • Our Team
  • Research
    • Research Pillars
      • AI for Science
      • Theory and Optimisation in AI
      • Artificial General Intelligence
      • Sustainable AI
      • Resilient & Safe AI
    • Participations
    • Publications
  • Talent
    • Career
    • Internship
    • Scholarship
    • Affiliated PhD students
    • Alumni
  • News
  • Events
    • Talks
    • Past Talks
    • 2024 IEEE Conference on Artificial Intelligence
  • Contact
Agency for Science, Technology and Research (A*STAR)
PartnershipsCareersSuppliersContact UsWhistleblowing
  • Report Vulnerability
  • Privacy Statement
  • Terms & Conditions
    • Features

    10 Papers Accepted at EMNLP 2024

    29 Oct 2024
    • Whatsapp
    • Telegram
    • Facebook
    • Twitter
    • Email
    • Linked In

    Held from 12 – 16 November in Miami, Florida, the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) is a leading conference in natural language processing and artificial intelligence.

    Congratulations to the following scientists from A*STAR’s Centre for Frontier AI Research (CFAR) on having their papers accepted at EMNLP 2024:

    • Prof Ong Yew Soon, Chief Artificial Intelligence (AI) Scientist and Advisor
    • Prof Ivor Tsang, Director and Distinguished Principal Scientist
    • Dr Joey Zhou, Deputy Director and Principal Scientist
    • Dr Li Xiaoli, Senior Principal Scientist
    • Dr Cheston Tan, Senior Principal Scientist
    • Dr Foo Chuan Sheng, Principal Scientist
    • Dr Yan Ming, Senior Scientist
    • Dr Du Jiawei, Senior Scientist
    • Mr Zhao Heng, Senior Engineer

    List of accepted papers:

    1. DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding
      Bowen Xing, Lizi Liao, Minlie Huang, Ivor Tsang
    2. Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning
      Xiaopeng Xie, Ming Yan, Xiwen Zhou, Chenlong Zhao, Suli Wang, Yong Zhang, Joey Tianyi Zhou
    3. LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments
      Ruirui Chen, Weifeng Jiang, Chengwei Qin, Ishaan Singh Rawal, Cheston Tan, Dongkyu Choi, Bo Xiong, Bo Ai
    4. HCEG: Improving the Abstraction Ability of Language Models with Hierarchical Conceptual Entailment Graphs
      Juncai Li, Ru Li, Xiaoli Li, Qinghua Chai, Jeff Z. Pan
    5. Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs
      Ran Liu, Zhongzhou Liu, Xiaoli Li, Yuan Fang
    6. Class Name Guided Out-of-Scope Intent Classification
      Chandan Gautam, Sethupathy Parameswaran, Aditya Kane, Yuan Fang, Savitha Ramasamy, Suresh Sundaram, Sunil Kumar Sahu, Xiaoli Li
    7. VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis
      Jiaxiang Liu, Tianxiang Hu, Huimin Xiong, Jiawei Du, YANG FENG, Jian Wu, Joey Tianyi Zhou, Zuozhu Liu
    8. MedCoT: Medical Chain of Thought via Hierarchical Expert
      Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Tianyi Zhou, Zuozhu Liu
    9. Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding
      Heng Zhao, Zhao Yinjie, Bihan Wen, Yew-Soon Ong, Joey Tianyi Zhou
    10. Framework for Robust and Scalable Text Watermarking
      Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low

     Find out more about EMNLP 2024.