June 2025: Preprint on Multi-agent System (MAS) and reasoning: MAS-Zero: Designing Multi-Agent Systems with Zero Supervision. Explore the 1,000+ discovered MAS designs in the collection!.

May 2025: Tutorial at NAACL 2025: Adaptation of Large Language Models (recording, proposal, slides and more!).

March 2025: Survey on LLM reasoning: A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems. (accepted by TMLR with 🏅 Survey Certification Award!)

January 2025: Model and data recipes on domain-adaptive post-training: Demystifying Domain-Adaptive Post-Training for Financial LLMs. (accepted by EMNLP 2025 with 🏅 Oral (Top 50% of accepted papers) !)

MAS-Zero: Designing Multi-Agent Systems with Zero Supervision
Zixuan Ke, Austin Xu, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
SEA@NeurIPS, 2025
Project Page | arXiv | code

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems
Zixuan Ke, Fangkai Jiao, Yifei Ming, Xuan-Phi Nguyen, Austin Xu, Do Xuan Long, Minzhi Li, Chengwei Qin, Peifeng Wang, Silvio Savarese, Caiming Xiong, Shafiq Joty
TMLR, 2025 🏅 Survey Certification Award
Project Page | arXiv

NAACL2025 Tutorial: Adaptation of Large Language Models
Zixuan Ke, Yifei Ming, Shafiq Joty
NAACL, 2025
Tutorial Page | Recording | Slides | Proposal

Demystifying Domain-adaptive Post-training for Financial LLMs
Zixuan Ke, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
EMNLP, 2025 🏅 Oral (Top 50% of accepted papers, ARR Best Paper Nomination)
Project Page | arXiv | Code | Model (Llama-Fin-8b) | Training data (FinETrain) | Benchmark (FinEval)

Bridging the Preference Gap between Retrievers and LLMs
Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
ACL, 2024
arXiv | talk | poster

Continual Pre-training of Language Models
Zixuan Ke*, Yijia Shao*, Haowei Lin*, Tatsuya Konishi, Gyuhak Kim, Bing Liu
ICLR, 2023
arXiv | poster | model | code

Adapting a Language Model While Preserving its General Knowledge
Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu
EMNLP, 2022a
arXiv | poster | code

Continual Training of Language Models for Few-Shot Learning
Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu
EMNLP, 2022b
arXiv | poster | model | code

Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks
Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li
EMNLP, 2023
arXiv | code

Continual Learning of Natural Language Processing Tasks: A Survey
Zixuan Ke, Bing Liu
arXiv, 2023
arXiv

A Theoretical Study on Solving Continual Learning
Gyuhak Kim, Changnan Xiao, Zixuan Ke, Bing Liu
NeurIPS, 2022
arXiv

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu
NeurIPS, 2021
arXiv | talk | poster | code

Continual Learning of A Mixed Sequence of Similar and Dissimilar Tasks
Zixuan Ke, Bing Liu, Xingchang Huang
NeurIPS, 2020
arXiv | talk | poster | code

Automated Essay Scoring: A Survey of the State of the Art
Zixuan Ke, Vincent Ng
IJCAI, 2019

Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays
Zixuan Ke, Winston Carlile, Nishant Gurrapadi, Vincent Ng
IJCAI, 2018
dataset-persuasive | dataset-thesis-strength