Personalized music emotion classification via active learning. - Dan Su 003; Pascale Fung (MIRUM, 2012)

These words are music to my ears: Recognizing music emotion from lyrics using AdaBoost. - Dan Su 003; Pascale Fung (APSIPA, 2013)

Multimodal music emotion classification using AdaBoost with decision stumps. - Dan Su 003; Pascale Fung; Nicolas Auguin (ICASSP, 2013)

Generalizing Question Answering System with Pre-trained Language Model Fine-tuning. - Dan Su 003; Yan Xu 012; Genta Indra Winata; Peng Xu 008; Hyeondey Kim; Zihan Liu 001; Pascale Fung (MRQA@EMNLP, 2019)

Multi-hop Question Generation with Graph Convolutional Network. - Dan Su 003; Yan Xu 012; Wenliang Dai; Ziwei Ji 001; Tiezheng Yu; Pascale Fung (EMNLP (Findings), 2020)

CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management. - Dan Su 003; Yan Xu 012; Tiezheng Yu; Farhad Bin Siddique; Elham J. Barezi; Pascale Fung (NLP4COVID@EMNLP, 2020)

Dimsum @LaySumm 20. - Tiezheng Yu; Dan Su 003; Wenliang Dai; Pascale Fung (SDP@EMNLP, 2020)

Improving Spoken Question Answering Using Contextualized Word Representation. - Dan Su 003; Pascale Fung (ICASSP, 2020)

CAiRE-COVID: A Question Answering and Multi-Document Summarization System for COVID-19 Research. - Dan Su 003; Yan Xu 012; Tiezheng Yu; Farhad Bin Siddique; Elham J. Barezi; Pascale Fung (CoRR, 2020)

Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization. - Tiezheng Yu; Dan Su 003; Wenliang Dai; Pascale Fung (CoRR, 2020)

Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance. - Dan Su 003; Tiezheng Yu; Pascale Fung (ACL/IJCNLP (Findings), 2021)

Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters. - Yan Xu 012; Etsuko Ishii; Zihan Liu 001; Genta Indra Winata; Dan Su 003; Andrea Madotto; Pascale Fung (CoRR, 2021)

Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters. - Yan Xu 012; Etsuko Ishii; Samuel Cahyawijaya; Zihan Liu 001; Genta Indra Winata; Andrea Madotto; Dan Su 003; Pascale Fung (DialDoc@ACL, 2022)

Read before Generate! Faithful Long Form Question Answering with Machine Reading. - Dan Su 003; Xiaoguang Li; Jindi Zhang; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Pascale Fung (ACL (Findings), 2022)

QA4QG: Using Question Answering to Constrain Multi-Hop Question Generation. - Dan Su 003; Peng Xu 008; Pascale Fung (ICASSP, 2022)

AiSocrates: Towards Answering Ethical Quandary Questions. - Yejin Bang; Nayeon Lee; Tiezheng Yu; Leila Khalatbari; Yan Xu 012; Dan Su 003; Elham J. Barezi; Andrea Madotto; Hayden Kee; Pascale Fung (CoRR, 2022)

Generative Long-form Question Answering: Relevance, Faithfulness and Succinctness. - Dan Su 003 (CoRR, 2022)

NusaCrowd: Open Source Initiative for Indonesian NLP Resources. - Samuel Cahyawijaya; Holy Lovenia; Alham Fikri Aji; Genta Indra Winata; Bryan Wilie; Rahmad Mahendra; Christian Wibisono; Ade Romadhony; Karissa Vincentio; Fajri Koto; Jennifer Santoso; David Moeljadi; et al. (CoRR, 2022)

NusaCrowd: Open Source Initiative for Indonesian NLP Resources. - Samuel Cahyawijaya; Holy Lovenia; Alham Fikri Aji; Genta Indra Winata; Bryan Wilie; Fajri Koto; Rahmad Mahendra; Christian Wibisono; Ade Romadhony; Karissa Vincentio; Jennifer Santoso; David Moeljadi; et al. (ACL (Findings), 2023)

Model Debiasing via Gradient-based Explanation on Representation. - Jindi Zhang; Luning Wang; Dan Su 003; Yongxiang Huang; Caleb Chen Cao; Lei Chen 002 (AIES, 2023)

Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training. - Wenliang Dai; Zihan Liu 001; Ziwei Ji 001; Dan Su 003; Pascale Fung (EACL, 2023)

Context Generation Improves Open Domain Question Answering. - Dan Su 003; Mostofa Patwary; Shrimai Prabhumoye; Peng Xu 008; Ryan Prenger; Mohammad Shoeybi; Pascale Fung; Anima Anandkumar; Bryan Catanzaro (EACL (Findings), 2023)

A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity. - Yejin Bang; Samuel Cahyawijaya; Nayeon Lee; Wenliang Dai; Dan Su 003; Bryan Wilie; Holy Lovenia; Ziwei Ji 001; Tiezheng Yu; Willy Chung; Quyet V. Do; Yan Xu 012; et al. (IJCNLP (1), 2023)

Learn What NOT to Learn: Towards Generative Safety in Chatbots. - Leila Khalatbari; Yejin Bang; Dan Su 003; Willy Chung; Saeed Ghadimi; Hossein Sameti; Pascale Fung (CoRR, 2023)

Survey of Hallucination in Natural Language Generation. - Ziwei Ji 001; Nayeon Lee; Rita Frieske; Tiezheng Yu; Dan Su 003; Yan Xu 012; Etsuko Ishii; Yejin Bang; Andrea Madotto; Pascale Fung (ACM Comput. Surv., 2023)

Nemotron-4 15B Technical Report. - Jupinder Parmar; Shrimai Prabhumoye; Joseph Jennings; Mostofa Patwary; Sandeep Subramanian; Dan Su 003; Chen Zhu 001; Deepak Narayanan; Aastha Jhunjhunwala; Ayush Dattagupta; Vibhu Jawa; Jiwei Liu; et al. (CoRR, 2024)

Nemotron-4 340B Technical Report. - Bo Adler; Niket Agarwal; Ashwath Aithal; Dong H. Anh; Pallab Bhattacharya; Annika Brundyn; Jared Casper; Bryan Catanzaro; Sharon Clay; Jonathan M. Cohen; Sirshak Das; Ayush Dattagupta; et al. (CoRR, 2024)

Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining. - Steven Feng; Shrimai Prabhumoye; Kezhi Kong; Dan Su 003; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2024)

Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset. - Dan Su 003; Kezhi Kong; Ying Lin; Joseph Jennings; Brandon Norick; Markus Kliegl; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (ACL (1), 2025)

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. - Aaron Blakeman; Aarti Basant; Abhinav Khattar; Adithya Renduchintala; Akhiad Bercovich; Aleksander Ficek; Alexis Bjorlin; Ali Taghibakhshi; Amala Sanjay Deshmukh; Ameya Sunil Mahabaleshwarkar; Andrew Tao; Anna Shors; et al. (CoRR, 2025)

CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training. - Shizhe Diao; Yu Yang; Yonggan Fu; Xin Dong 009; Dan Su 003; Markus Kliegl; Zijia Chen; Peter Belcak; Yoshi Suhara; Hongxu Yin; Mostofa Patwary; Yingyan Lin; et al. (CoRR, 2025)

Llama-Nemotron: Efficient Reasoning Models. - Akhiad Bercovich; Itay Levy; Izik Golan; Mohammad Dabbah; Ran El-Yaniv; Omri Puny; Ido Galil; Zach Moshe; Tomer Ronen; Najeeb Nabwani; Ido Shahaf; Oren Tropp; et al. (CoRR, 2025)

NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model. - Aarti Basant; Abhijit Khairnar; Abhijit Paithankar; Abhinav Khattar; Adithya Renduchintala; Aditya Malte; Akhiad Bercovich; Akshay Hazare; Alejandra Rico; Aleksander Ficek; Alex Kondratenko; Alex Shaposhnikov; et al. (CoRR, 2025)