Kishaloy Halder
Ph.D. Computer Science
Seattle,United States kishaloy [AT] comp.nus.edu.sg [LinkedIn]|[google scholar]|[github]
About Me
I currently work as an Applied Scientist in the AWS Bedrock team in Amazon. I work towards bringing state-of-the-art NLP research into life by building models that uncover valuable insights and connections in text.
I previously worked as an Applied Scientist in the NLP Research team at Zalando SE. I designed and built NLP solutions to understand textual feedbacks from millions of Zalando customers.
Earlier, I graduated with a Ph.D. in Computer Science under the guidance of A/P. Min-Yen Kan. My research interests are in the intersection of Natural Language Processing and Information Retrieval. My thesis is formally titled “Automatically Facilitating Discussion in Online Forums”. Towards this, I have worked on many prevailing challenges that hamper the user participation in these forums such as Reddit, HealthBoards, MOOC discussion forums to name a few. I have focused on some key issues such as recommending the suitable discussion threads for interested users through textual content modeling. I have used traditional models such as probabilistic graphical models, as well as recent advancements in NLP through deep learning such as Gated Recurrent Units (GRU), attention mechanism. I have worked on a few important aspects of recommendation systems such as explainability of such systems, and cold-start problem. You can find my CV here.
I have been a part of ALSET NUS, and built an AI based career guidance system. The system recommends online courses for Singaporeans based on their profile. Check out the project details here.
Earlier, I graduated from IIT Bombay in Computer Science and Engineering. As part of my master's thesis, I worked in the area of Cloud Computing and Virtualization under the co-supervision of Prof Umesh Bellur, and A/P. Purushottam Kulkarni.
Publications
- Siyi Liu, Qiang Ning, Kishaloy Halder, Wei Xiao, Zheng Qi, Phu Mon Htut, Yi Zhang, Neha Anna John, Bonan Min, Yassine Benajiba, Dan Roth, "Open Domain Question Answering with Conflicting Contexts", 2024, ArXiv Preprint. [pdf]
- Sadat Shahriar, Zheng Qi, Nikolaos Pappas, Srikanth Doss, Monica Sunkara, Kishaloy Halder, Manuel Mager, Yassine Benajiba, "Inference time LLM alignment in single and multidomain preference spectrum", 2024, ArXiv Preprint. [pdf]
- Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan, "A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis", 2024, EACL. [pdf][sources]
- Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth, "Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis", 2023, WASSA, ACL. [pdf][sources]
- Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth, "Characterizing and Measuring Linguistic Dataset Drift", 2023, ACL. [pdf][sources]
- Kishaloy Halder, Alan Akbik, Josip Krapac, Roland Vollgraf, "Task-Aware Representation of Sentences for Generic Text Classification", 2020, COLING. [pdf][sources][slides]
- Akshay Bhola, Kishaloy Halder, Animesh Prasad, Min-Yen Kan, "Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework", 2020, COLING. [pdf] [sources]
- Van-Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Kishaloy Halder, "Neural side effect discovery from user credibility and experience-assessed online health discussions", 2020, Journal of Biomedical Semantics. [pdf]
- Kishaloy Halder, Heng-Tze Cheng, Ellie Ka In Chio, Georgios Roumpos, Tao Wu, Ritesh Agarwal, "Modeling Information Need of Users in Search Sessions", 2020, ArXiv Preprint. [pdf]
- Kishaloy Halder, "Automatically Facilitating Discussion in Online Forums", 2019, Ph.D. Dissertation. [pdf]
- Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama, "Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture", 2019, NAACL. [pdf][sources][slides]
- Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Kishaloy Halder, "Treatment Side Effect Prediction from Online User-generated Content", 2018, LOUHI, EMNLP. [pdf]
- Kishaloy Halder, Lahari Poddar, Min-Yen Kan, "Cold Start Thread Recommendation as Extreme Multi-label Classification", 2018, XMLC for Social Media, WWW. [pdf][sources]
- Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama, "Health Forum Thread Recommendation using Interest Aware Topic Model", 2017, CIKM. [pdf][slides]
- Kishaloy Halder, Lahari Poddar, Min-Yen Kan, "Modeling Temporal Progression of Emotional Status in Mental Health Forum: A Recurrent Neural Net Approach", 2017, WASSA, EMNLP. [pdf][sources]
- Kishaloy Halder, Umesh Bellur, Puru Kulkarni, "Risk aware provisioning and resource aggregation based consolidation of virtual machines", 2012, IEEE CLOUD. [pdf]
Past Collaborators
Alan Akbik, Professor of Machine Learning, Humboldt-Universität zu Berlin
Lahari Poddar, Applied Scientist, Amazon
Kazunari Sugiyama, Associate Professor, Kyoto University
Academic Background
NUS, Ph.D. 2019.
IIT Bombay, M.Tech 2012.
WBUT, B.Tech 2010.
Professional Services
Reviewer, LREC-COLING 2024
PC Member, ACL 2023
Reviewer, EACL 2023
PC Member, AAAI 2023
PC Member, EMNLP 2022
PC Member, WSDM 2022
PC Member, AAAI 2022
PC Member, EMNLP 2021
Reviewer, ACL 2021
PC Member, KDD 2021
PC Member, NAACL 2021
PC Member, WSDM 2021
PC Member, EMNLP 2020
Reviewer, ACL 2020
PC Member, SIGIR 2020
PC Member, AAAI 2020
PC Member, AI2019
PC Member, SIGIR 2019
PC Member, AAAI 2019
PC Member, SIGIR 2018
Reviewer, NAACL 2018
PC Member, MEDA, JCDL 2018
Work Experience
Amazon AWI AI ~ 2021, November - till date
Zalando Research ~ 2020, March - 2021, November
Google Research ~ 2018, July - 2018, November
Flipkart Internet Pvt Ltd ~ 2014
Symantec Corporation ~ 2012-2014
IBM India Software Lab ~ 2011
Project Mentoring: Past Students
Akshay Bhola during his intership on "Skill Recommendation from Online Job Advertisements" May - July 2019.
Van Hoang Nguyen during his UROP on Credibility Analysis from Health Forums during Jan - July 2018.
Grace Lam during her internship on "Neural Models on Textual Item Recommendation" during Jan - Feb 2018.
Jintong Xu for her UROP titled "Understanding User Behavior across Multiple Social Networks" in 2015-16.
Other Projects
Developed lang-detect, A Neural Language Detection framework written in Python.
Contributor of ParsCit, An open-source CRF Reference String Parsing Package developed by WING.
Past Project Reports
Talks
- Tutorial on Sentiment Analysis of Social Media Texts, WESST 2017 [pdf]
Teaching Experience
Tutor for CS3245 Information Retrieval, semester II, 2017-18.
Tutor for CS3245 Information Retrieval, semester II, 2015-16.
Tutor for CS2103 Software Engineering, semester I, 2015-16.
Tutor for CS5224 Cloud Computing, semester II, 2014-15.