Xiachong Feng 冯夏冲

Currently, I am a Postdoc Fellow of Natural Language Processing Group, The University of Hong Kong (HKU NLP), working with Prof. Lingpeng Kong.

Previously, I am a Ph.D student from Harbin Institute of Technology, where I am a member of Text Generation Group of HIT-SCIR Lab under the supervision of Prof. Bing Qin and Prof. Xiaocheng Feng.

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Talk

  • Aug. 2025, I gave a talk "LLM-based Social Simulation" at The 24th China National Conference on Computational Linguistics.
  • Jul. 2025, I gave a talk "The Game Intelligence of Social Agents: Evaluation Benchmarks and Agent Architectures" at The Fifth Chinese Conference on Affective Computing.
  • Mar. 2025, I gave a talk "Advancing the Social Intelligence of LLM-based Agents" at The HKU-Huawei Joint Research Seminar.
  • Jul. 2024, I gave a talk "Strategic Reasoning of Large Language Models from a Game Theory Perspective" at The CCF 2024 Annual Conference on Computational Economics.
  • Sep. 2023, I gave a talk "Taking the First Step Toward Interdisciplinary Studies" at The 2023 China Conference on Social Media Processing.
  • May 2023, I gave a talk "Recent Advances in Larg Language Models" at Interactive Data Exploration System (IDEAS) lab, Shandong University.
  • Jan. 2022, I gave a talk "Dialogue Summarizations" at the Alibaba DAMO Academy, Language Technology Lab, Conversational AI.
  • Jun. 2021, I gave a talk "Dialogue Summarizations" at the Natural Language Processing Lab at Tsinghua University: THUNLP.

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    Presentation

  • [NEW] LLM-based Social Simulation
  • [NEW] The Game Intelligence of Social Agents: Evaluation Benchmarks and Agent Architectures
  • Social Agents in Game-Theoretic Scenarios
  • Hands-on Large Language Models
  • Strategic Reasoning of Large Language Models from a Game Theory Perspective
  • Recent Advances in Large Languag Models
  • ChatGPT Evaluation for NLP: A Meta Survey
  • Federated Learning Meets Knowledge Distillation
  • Dialogue Summarization
  • Prompt Survey
  • Cross-lingual Summarization
  • Efficient Transformers
  • Multi-modal Summarization
  • ACL20 Summarization
  • Data Augmentation
  • 文本摘要简述
  • ACL19 Summarization
  • Advanced Pre-training Language Models: a Brief Introduction
  • Graph Neural Networks
  • Knowledge Distillation
  • Meta Learning
  • Non-Autoregressive Decoding
  • Event Extraction
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    Education
    Harbin Institute of Technology

    • Ph.D in Computer Science
    • 2018.09 ~ 2023.12

    • B.E in Software Engineering
    • 2014.09 ~ 2018.06
    National University of Singapore

    • Remote Intern
    • 2020.08 ~ 2023.06

    Design and source code from Jon Barron.