Neural Character-level Dependency Parsing for Chinese. - Haonan Li 002; Zhisong Zhang; Yuqi Ju; Hai Zhao 001 (AAAI, 2018)

Place Questions and Human-Generated Answers: A Data Analysis Approach. - Ehsan Hamzei; Haonan Li 002; Maria Vasardani; Timothy Baldwin; Stephan Winter 001; Martin Tomko (AGILE Conference, 2019)

Classifying Relation via Piecewise Convolutional Neural Networks with Transfer Learning. - Yuting Han; Zheng Zhou; Haonan Li 002; Guoyin Wang 001; Wei Deng 003; Zhixing Li (ICMMI, 2019)

UniMelb at SemEval-2019 Task 12: Multi-model combination for toponym resolution. - Haonan Li 002; Minghan Wang; Timothy Baldwin; Martin Tomko; Maria Vasardani (SemEval@NAACL-HLT, 2019)

Target Word Masking for Location Metonymy Resolution. - Haonan Li 002; Maria Vasardani; Martin Tomko; Timothy Baldwin (COLING, 2020)

KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning. - Haonan Li 002; Yeyun Gong; Jian Jiao 007; Ruofei Zhang; Timothy Baldwin; Nan Duan (EMNLP (Findings), 2021)

KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning. - Haonan Li 002; Yeyun Gong; Jian Jiao 007; Ruofei Zhang; Timothy Baldwin; Nan Duan (CoRR, 2021)

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis. - Shuai Fan 007; Chen Lin 001; Haonan Li 002; Zhenghao Lin; Jinsong Su; Hang Zhang 029; Yeyun Gong; Jian Guo; Nan Duan (EMNLP, 2022)

CULG: Commercial Universal Language Generation. - Haonan Li 002; Yameng Huang; Yeyun Gong; Jian Jiao 007; Ruofei Zhang; Timothy Baldwin; Nan Duan (NAACL-HLT (Industry Papers), 2022)

MultiSpanQA: A Dataset for Multi-Span Question Answering. - Haonan Li 002; Martin Tomko; Maria Vasardani; Timothy Baldwin (NAACL-HLT, 2022)

Neural Character-Level Syntactic Parsing for Chinese. - Zuchao Li; Junru Zhou; Hai Zhao 001; Zhisong Zhang; Haonan Li 002; Yuqi Ju (J. Artif. Intell. Res., 2022)

Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU. - Fajri Koto; Nurul Aisyah; Haonan Li 002; Timothy Baldwin (EMNLP, 2023)

Location Aware Modular Biencoder for Tourism Question Answering. - Haonan Li 002; Martin Tomko; Timothy Baldwin (IJCNLP (Findings), 2023)

Can Large Langauge Model Comprehend Ancient Chinese? A Preliminary Test on ACLUE. - Yixuan Zhang; Haonan Li 002 (ALP@RANLP, 2023)

Bactrian-X : A Multilingual Replicable Instruction-Following Model with Low-Rank Adaptation. - Haonan Li 002; Fajri Koto; Minghao Wu; Alham Fikri Aji; Timothy Baldwin (CoRR, 2023)

Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs. - Yuxia Wang; Haonan Li 002; Xudong Han; Preslav Nakov; Timothy Baldwin (CoRR, 2023)

Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models. - Neha Sengupta; Sunil Kumar Sahu; Bokang Jia; Satheesh Katipomu; Haonan Li 002; Fajri Koto; Osama Mohammed Afzal; Samta Kamboj; Onkar Pandit; Rahul Pal; Lalit Pradhan; Zain Muhammad Mujahid; et al. (CoRR, 2023)

Can Large Language Model Comprehend Ancient Chinese? A Preliminary Test on ACLUE. - Yixuan Zhang; Haonan Li 002 (CoRR, 2023)

LLM360: Towards Fully Transparent Open-Source LLMs. - Zhengzhong Liu 001; Aurick Qiao; Willie Neiswanger; Hongyi Wang 001; Bowen Tan; Tianhua Tao; Junbo Li; Yuqi Wang; Suqi Sun; Omkar Pangarkar; Richard Fan; Yi Gu 002; et al. (CoRR, 2023)

Understanding the Instruction Mixture for Large Language Model Fine-tuning. - Renxi Wang; Minghao Wu; Yuxia Wang; Xudong Han; Chiyu Zhang; Haonan Li 002 (CoRR, 2023)

CMMLU: Measuring massive multitask language understanding in Chinese. - Haonan Li 002; Yixuan Zhang; Fajri Koto; Yifei Yang; Hai Zhao 001; Yeyun Gong; Nan Duan; Timothy Baldwin (ACL (Findings), 2024)

EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models. - Rocktim Jyoti Das; Simeon Emilov Hristov; Haonan Li 002; Dimitar Dimitrov 003; Ivan Koychev; Preslav Nakov (ACL (1), 2024)

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. - Ekaterina Fadeeva; Aleksandr Rubashevskii; Artem Shelmanov; Sergey Petrakov; Haonan Li 002; Hamdy Mubarak; Evgenii Tsymbalov; Gleb Kuzmin; Alexander Panchenko; Timothy Baldwin; Preslav Nakov; Maxim Panov (ACL (Findings), 2024)

ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic. - Fajri Koto; Haonan Li 002; Sara Shatnawi; Jad Doughman; Abdelrahman Boda Sadallah; Aisha Alraeesi; Khalid Almubarak; Zaid Alyafeai; Neha Sengupta; Shady Shehata; Nizar Habash; Preslav Nakov; et al. (ACL (Findings), 2024)

Demystifying Instruction Mixing for Fine-tuning Large Language Models. - Renxi Wang; Haonan Li 002; Minghao Wu; Yuxia Wang; Xudong Han; Chiyu Zhang; Timothy Baldwin (ACL (Student Research Workshop), 2024)

A Chinese Dataset for Evaluating the Safeguards in Large Language Models. - Yuxia Wang; Zenan Zhai; Haonan Li 002; Xudong Han; Shom Lin; Zhenxuan Zhang; Angela Zhao; Preslav Nakov; Timothy Baldwin (ACL (Findings), 2024)

Do-Not-Answer: Evaluating Safeguards in LLMs. - Yuxia Wang; Haonan Li 002; Xudong Han; Preslav Nakov; Timothy Baldwin (EACL (Findings), 2024)

Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs. - Sukmin Yun; Haokun Lin; Rusiru Thushara; Mohammad Qazim Bhat; Yongxin Wang; Zutao Jiang; Mingkai Deng; Jinhong Wang; Tianhua Tao; Junbo Li; Haonan Li 002; Preslav Nakov; et al. (NeurIPS, 2024)

Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents. - Renxi Wang; Haonan Li 002; Xudong Han; Yixuan Zhang; Timothy Baldwin (CoRR, 2024)

A Chinese Dataset for Evaluating the Safeguards in Large Language Models. - Yuxia Wang; Zenan Zhai; Haonan Li 002; Xudong Han; Lizhi Lin; Zhenxuan Zhang; Jingru Zhao; Preslav Nakov; Timothy Baldwin (CoRR, 2024)

EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models. - Rocktim Jyoti Das; Simeon Emilov Hristov; Haonan Li 002; Dimitar Iliyanov Dimitrov; Ivan Koychev; Preslav Nakov (CoRR, 2024)

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. - Haonan Li 002; Xudong Han; Zenan Zhai; Honglin Mu; Hao Wang; Zhenxuan Zhang; Yilin Geng; Shom Lin; Renxi Wang; Artem Shelmanov; Xiangyu Qi; Yuxia Wang; et al. (CoRR, 2024)

Loki: An Open-Source Tool for Fact Verification. - Haonan Li 002; Xudong Han; Hao Wang; Yuxia Wang; Minghan Wang; Rui Xing; Yilin Geng; Zenan Zhai; Preslav Nakov; Timothy Baldwin (COLING (Demonstrations), 2025)

ToolGen: Unified Tool Retrieval and Calling via Generation. - Renxi Wang; Xudong Han; Lei Ji 001; Shu Wang 002; Timothy Baldwin; Haonan Li 002 (ICLR, 2025)

NAT: Enhancing Agent Tuning with Negative Samples. - Renxi Wang; Xudong Han; Yixuan Zhang; Timothy Baldwin; Haonan Li 002 (NAACL (Long Papers), 2025)

Against The Achilles' Heel: A Survey on Red Teaming for Generative Models. - Lizhi Lin; Honglin Mu; Zenan Zhai; Minghan Wang; Yuxia Wang; Renxi Wang; Junjie Gao; Yixuan Zhang; Wanxiang Che; Timothy Baldwin; Xudong Han; Haonan Li 002 (J. Artif. Intell. Res., 2025)

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch. - Zhengzhong Liu 001; Bowen Tan; Hongyi Wang 001; Willie Neiswanger; Tianhua Tao; Haonan Li 002; Fajri Koto; Yuqi Wang; Suqi Sun; Omkar Pangarkar; Richard Fan; Yi Gu 002; et al. (CoRR, 2025)

RuozhiBench: Evaluating LLMs with Logical Fallacies and Misleading Premises. - Zenan Zhai; Hao Li; Xudong Han; Zhenxuan Zhang; Yixuan Zhang; Timothy Baldwin; Haonan Li 002 (CoRR, 2025)

SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning. - Renxi Wang; Honglin Mu; Liqun Ma; Lizhi Lin; Yunlong Feng; Timothy Baldwin; Xudong Han; Haonan Li 002 (CoRR, 2025)

Control Illusion: The Failure of Instruction Hierarchies in Large Language Models. - Yilin Geng; Haonan Li 002; Honglin Mu; Xudong Han; Timothy Baldwin; Omri Abend; Eduard H. Hovy; Lea Frermann (CoRR, 2025)

Llama-3-Nanda-10B-Chat: An Open Generative Large Language Model for Hindi. - Monojit Choudhury; Shivam Chauhan; Rocktim Jyoti Das; Dhruv Sahnan; Xudong Han; Haonan Li 002; Aaryamonvikram Singh; Alok Anil Jadhav; Utkarsh Agarwal; Mukund Choudhary; Debopriyo Banerjee; Fajri Koto; et al. (CoRR, 2025)

FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning. - Zhuohan Xie; Dhruv Sahnan; Debopriyo Banerjee; Georgi Georgiev; Rushil Thareja; Hachem Madmoun; Jinyan Su; Aaryamonvikram Singh; Yuxia Wang; Rui Xing; Fajri Koto; Haonan Li 002; et al. (CoRR, 2025)

Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective. - Zhoujun Cheng; Shibo Hao; Tianyang Liu 003; Fan Zhou; Yutao Xie; Feng Yao; Yuexin Bian; Yonghao Zhuang 001; Nilabjo Dey; Yuheng Zha; Yi Gu 002; Kun Zhou; et al. (CoRR, 2025)

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents. - Renxi Wang; Rifo Ahmad Genadi; Bilal El Bouardi; Yongxin Wang; Fajri Koto; Zhengzhong Liu 001; Timothy Baldwin; Haonan Li 002 (CoRR, 2025)

BALSAM: A Platform for Benchmarking Arabic Large Language Models. - Rawan N. Al-Matham; Kareem Darwish; Raghad Al-Rasheed; Waad Alshammari; Muneera Alhoshan; Amal Almazrua; Asma Al Wazrah; Mais Alheraki; Firoj Alam; Preslav Nakov; Norah Alzahrani; Eman Albilali; et al. (CoRR, 2025)