Risk Aware Provisioning and Resource Aggregation Based Consolidation of Virtual Machines. - Kishaloy Halder; Umesh Bellur; Purushottam Kulkarni (IEEE CLOUD, 2012)

Properties of Farey Sequence and their Applications to Digital Image Processing. - Soham Das 001; Kishaloy Halder; Sanjoy Pratihar; Partha Bhowmick (CoRR, 2015)

Sentiment Analysis for Twitter : Going Beyond Tweet Text. - Lahari Poddar; Kishaloy Halder; Xianyan Jia (CoRR, 2016)

Health Forum Thread Recommendation Using an Interest Aware Topic Model. - Kishaloy Halder; Min-Yen Kan; Kazunari Sugiyama (CIKM, 2017)

Modeling Temporal Progression of Emotional Status in Mental Health Forum: A Recurrent Neural Net Approach. - Kishaloy Halder; Lahari Poddar; Min-Yen Kan (WASSA@EMNLP, 2017)

Treatment Side Effect Prediction from Online User-generated Content. - Hoang Nguyen; Kazunari Sugiyama; Min-Yen Kan; Kishaloy Halder (Louhi@EMNLP, 2018)

Cold Start Thread Recommendation as Extreme Multi-label Classification. - Kishaloy Halder; Lahari Poddar; Min-Yen Kan (WWW (Companion Volume), 2018)

Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture. - Kishaloy Halder; Min-Yen Kan; Kazunari Sugiyama (NAACL-HLT (1), 2019)

Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework. - Akshay Bhola; Kishaloy Halder; Animesh Prasad; Min-Yen Kan (COLING, 2020)

Task-Aware Representation of Sentences for Generic Text Classification. - Kishaloy Halder; Alan Akbik; Josip Krapac; Roland Vollgraf (COLING, 2020)

Neural side effect discovery from user credibility and experience-assessed online health discussions. - Van-Hoang Nguyen; Kazunari Sugiyama; Min-Yen Kan; Kishaloy Halder (J. Biomed. Semant., 2020)

Modeling Information Need of Users in Search Sessions. - Kishaloy Halder; Heng-Tze Cheng; Ellie Ka In Chio; Georgios Roumpos; Tao Wu; Ritesh Agarwal (CoRR, 2020)

Enhancing Product Safety in E-Commerce with NLP. - Kishaloy Halder; Josip Krapac; Dmitry Goryunov; Anthony Brew; Matti Lyra; Alsida Dizdari; William Gillett; Adrien Renahy; Sinan Tang (CoRR, 2022)

Task-Specific Embeddings for Ante-Hoc Explainable Text Classification. - Kishaloy Halder; Josip Krapac; Alan Akbik; Anthony Brew; Matti Lyra (CoRR, 2022)

Characterizing and Measuring Linguistic Dataset Drift. - Tyler A. Chang; Kishaloy Halder; Neha Anna John; Yogarshi Vyas; Yassine Benajiba; Miguel Ballesteros; Dan Roth 001 (ACL (1), 2023)

Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis. - Siddharth Varia; Shuai Wang; Kishaloy Halder; Robert Vacareanu; Miguel Ballesteros; Yassine Benajiba; Neha Anna John; Rishita Anubhai; Smaranda Muresan; Dan Roth 001 (WASSA@ACL, 2023)

A Weak Supervision Approach for Few-Shot Aspect Based Sentiment. - Robert Vacareanu; Siddharth Varia; Kishaloy Halder; Shuai Wang; Giovanni Paolini; Neha Anna John; Miguel Ballesteros; Smaranda Muresan (CoRR, 2023)

A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis. - Robert Vacareanu; Siddharth Varia; Kishaloy Halder; Shuai Wang; Giovanni Paolini; Neha Anna John; Miguel Ballesteros; Smaranda Muresan (EACL (1), 2024)

Inference time LLM alignment in single and multidomain preference spectrum. - Sadat Shahriar; Zheng Qi; Nikolaos Pappas 004; Srikanth Doss; Monica Sunkara; Kishaloy Halder; Manuel Mager; Yassine Benajiba (CoRR, 2024)

DiverseAgentEntropy: Quantifying Black-Box LLM Uncertainty through Diverse Perspectives and Multi-Agent Interaction. - Yu Feng 013; Phu Mon Htut; Zheng Qi; Wei Xiao; Manuel Mager; Nikolaos Pappas 004; Kishaloy Halder; Yang Li 150; Yassine Benajiba; Dan Roth 001 (CoRR, 2024)

Towards Long Context Hallucination Detection. - Siyi Liu; Kishaloy Halder; Zheng Qi; Wei Xiao; Nikolaos Pappas 004; Phu Mon Htut; Neha Anna John; Yassine Benajiba; Dan Roth 001 (NAACL (Findings), 2025)

Open Domain Question Answering with Conflicting Contexts. - Siyi Liu; Qiang Ning; Kishaloy Halder; Zheng Qi; Wei Xiao; Phu Mon Htut; Yi Zhang 001; Neha Anna John; Bonan Min; Yassine Benajiba; Dan Roth 001 (NAACL (Findings), 2025)

Exploration of Plan-Guided Summarization for Narrative Texts: the Case of Small Language Models. - Matt Grenander; Siddharth Varia; Paula Czarnowska; Yogarshi Vyas; Kishaloy Halder; Bonan Min (CoRR, 2025)