Towards better generalization in Pittsburgh learning classifier systems. - Shubhra Kanti Karmaker Santu; Md. Mustafizur Rahman; Md. Monirul Islam; Kazuyuki Murase (IEEE Congress on Evolutionary Computation, 2014)

Forecasting time series - A layered ensemble architecture. - Md. Mustafizur Rahman; Shubhra Kanti Karmaker Santu; Md. Monirul Islam; Kazuyuki Murase (IJCNN, 2014)

Generative Feature Language Models for Mining Implicit Features from Customer Reviews. - Shubhra Kanti Karmaker Santu; Parikshit Sondhi; ChengXiang Zhai (CIKM, 2016)

A Study of Feature Construction for Text-based Forecasting of Time Series Variables. - Yiren Wang; Dominic Seyler; Shubhra Kanti Karmaker Santu; ChengXiang Zhai (CIKM, 2017)

On Application of Learning to Rank for E-Commerce Search. - Shubhra Kanti Karmaker Santu; Parikshit Sondhi; ChengXiang Zhai (SIGIR, 2017)

Modeling the Influence of Popular Trending Events on User Search Behavior. - Shubhra Kanti Karmaker Santu; Liangda Li; Dae Hoon Park; Yi Chang 001; ChengXiang Zhai (WWW (Companion Volume), 2017)

JIM: Joint Influence Modeling for Collective Search Behavior. - Shubhra Kanti Karmaker Santu; Liangda Li; Yi Chang 001; ChengXiang Zhai (CIKM, 2018)

NRF: A Naive Re-identification Framework. - Shubhra Kanti Karmaker Santu; Vincent Bindschaedler; ChengXiang Zhai; Carl A. Gunter (WPES@CCS, 2018)

SOFSAT: Towards a Setlike Operator based Framework for Semantic Analysis of Text. - Shubhra Kanti Karmaker Santu; Chase Geigle; Duncan C. Ferguson; William W. Cope; Mary Kalantzis; Duane Searsmith; Chengxiang Zhai (SIGKDD Explor., 2018)

Analysis of Adaptive Training for Learning to Rank in Information Retrieval. - Saar Kuzi; Sahiti Labhishetty; Shubhra Kanti Karmaker Santu; Prasad Pradip Joshi; ChengXiang Zhai (CIKM, 2019)

TILM: Neural Language Models with Evolving Topical Influence. - Shubhra Kanti Karmaker Santu; Kalyan Veeramachaneni; Chengxiang Zhai (CoNLL, 2019)

MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data. - Lei Xu 040; Shubhra Kanti Karmaker Santu; Kalyan Veeramachaneni (CoRR, 2019)

Influence mining from unstructured big data - Shubhra Kanti Karmaker Santu (2019)

Empirical Analysis of Impact of Query-Specific Customization of nDCG: A Case-Study with Learning-to-Rank Methods. - Shubhra (Santu) K. Karmaker; Parikshit Sondhi; ChengXiang Zhai (CIKM, 2020)

Towards Automated Sexual Violence Report Tracking. - Naeemul Hassan; Amrit Poudel; Jason G. Hale; Claire Hubacek; Khandaker Tasnim Huq; Shubhra Kanti Karmaker Santu; Syed Ishtiaque Ahmed (ICWSM, 2020)

A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities. - Shubhra Kanti Karmaker Santu; Md. Mahadi Hassan; Micah J. Smith; Lei Xu 040; ChengXiang Zhai; Kalyan Veeramachaneni (CoRR, 2020)

COVID19α: Interactive Spatio-Temporal Visualization of COVID-19 Symptoms through Tweet Analysis. - Biddut Sarker Bijoy; Syeda Jannatus Saba; Souvika Sarkar; Md. Saiful Islam 007; Sheikh Rabiul Islam; Mohammad Ruhul Amin; Shubhra Kanti Karmaker Santu (IUI Companion, 2021)

Revisiting Automatic Evaluation of Extractive Summarization Task: Can We Do Better than ROUGE? - Mousumi Akter 001; Naman Bansal; Shubhra Kanti Karmaker Santu (ACL (Findings), 2022)

Data-Driven Estimation of Effectiveness of COVID-19 Non-pharmaceutical Intervention Policies. - Yash Mahajan; Sheikh Rabiul Islam; Mohammad Ruhul Amin; Shubhra Kanti Karmaker Santu (IEEE Big Data, 2022)

Semantic Overlap Summarization among Multiple Alternative Narratives: An Exploratory Study. - Naman Bansal; Mousumi Akter 001; Shubhra Kanti Karmaker Santu (COLING, 2022)

SEM-F1: an Automatic Way for Semantic Evaluation of Multi-Narrative Overlap Summaries at Scale. - Naman Bansal; Mousumi Akter 001; Shubhra Kanti Karmaker Santu (EMNLP, 2022)

Learning to Generate Overlap Summaries through Noisy Synthetic Data. - Naman Bansal; Mousumi Akter 001; Shubhra Kanti Karmaker Santu (EMNLP, 2022)

Analogy-Guided Evolutionary Pretraining of Binary Word Embeddings. - R. Alexander Knipper; Md. Mahadi Hassan; Mehdi Sadi; Shubhra Kanti Karmaker Santu (AACL/IJCNLP (1), 2022)

Exploring Universal Sentence Encoders for Zero-shot Text Classification. - Souvika Sarkar; Dongji Feng; Shubhra Kanti Karmaker Santu (AACL/IJCNLP (2), 2022)

Concept Annotation from Users Perspective: A New Challenge. - Souvika Sarkar; Shubhra Kanti Karmaker Santu (WWW (Companion Volume), 2022)

Multi-Narrative Semantic Overlap Task: Evaluation and Benchmark. - Naman Bansal; Mousumi Akter 001; Shubhra Kanti Karmaker Santu (CoRR, 2022)

Joint Upper & Lower Bound Normalization for IR Evaluation. - Shubhra Kanti Karmaker Santu; Dongji Feng (CoRR, 2022)

AutoML to Date and Beyond: Challenges and Opportunities. - Shubhra Kanti Karmaker Santu; Md. Mahadi Hassan; Micah J. Smith; Lei Xu 040; Chengxiang Zhai; Kalyan Veeramachaneni (ACM Comput. Surv., 2022)

On Evaluation of Bangla Word Analogies. - Mousumi Akter 001; Souvika Sarkar; Shubhra Kanti Karmaker Santu (EMNLP, 2023)

TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks. - Shubhra Kanti Karmaker Santu; Dongji Feng (EMNLP (Findings), 2023)

Zero-Shot Multi-Label Topic Inference with Sentence Encoders and LLMs. - Souvika Sarkar; Dongji Feng; Shubhra Kanti Karmaker Santu (EMNLP, 2023)

Zero-Shot Multi-Label Topic Inference with Sentence Encoders. - Souvika Sarkar; Dongji Feng; Shubhra Kanti Karmaker Santu (CoRR, 2023)

Exploring Challenges of Deploying BERT-based NLP Models in Resource-Constrained Embedded Devices. - Souvika Sarkar; Mohammad Fakhruddin Babar; Md. Mahadi Hassan; Monowar Hasan; Shubhra Kanti Karmaker Santu (CoRR, 2023)

ChatGPT as your Personal Data Scientist. - Md. Mahadi Hassan; R. Alexander Knipper; Shubhra Kanti Karmaker Santu (CoRR, 2023)

Redundancy Aware Multi-Reference Based Gainwise Evaluation of Extractive Summarization. - Mousumi Akter 001; Shubhra Kanti Karmaker Santu (CoRR, 2023)

The Daunting Dilemma with Sentence Encoders: Success on Standard Benchmarks, Failure in Capturing Basic Semantic Properties. - Yash Mahajan; Naman Bansal; Shubhra Kanti Karmaker (CoRR, 2023)

FaNS: a Facet-based Narrative Similarity Metric. - Mousumi Akter 001; Shubhra Kanti Karmaker Santu (CoRR, 2023)

Joint upper & expected value normalization for evaluation of retrieval systems: A case study with Learning-to-Rank methods. - Dongji Feng; Shubhra (Santu) K. Karmaker (Inf. Process. Manag., 2023)

Ad-Hoc Monitoring of COVID-19 Global Research Trends for Well-Informed Policy Making. - Souvika Sarkar; Biddut Sarker Bijoy; Syeda Jannatus Saba; Dongji Feng; Yash Mahajan; Mohammad Ruhul Amin; Sheikh Rabiul Islam; Shubhra Kanti Karmaker Santu (ACM Trans. Intell. Syst. Technol., 2023)

ALIGN-SIM: A Task-Free Test Bed for Evaluating and Interpreting Sentence Embeddings through Semantic Similarity Alignment. - Yash Mahajan; Naman Bansal; Eduardo Blanco 002; Santu Karmaker (EMNLP (Findings), 2024)

Challenges and Preferences of Learning Machine Learning: A Student Perspective. - Effat Farhana; Fan Wu 013; Hossain Shahriar; Shubhra Kanti Karmaker Santu; Akond Rahman (FIE, 2024)

Redundancy Aware Multiple Reference Based Gainwise Evaluation of Extractive Summarization. - Mousumi Akter 001; Shubhra Kanti Karmaker (KONVENS, 2024)

SimPal: Towards a Meta-Conversational Framework to Understand Teacher's Instructional Goals for K-12 Physics. - Effat Farhana; Souvika Sarkar; Ralph Knipper; Indrani Dey; Hari Narayanan; Sadhana Puntambekar; Shubhra (Santu) K. Karmaker (L@S, 2024)

Processing Natural Language on Embedded Devices: How Well Do Modern Models Perform? - Souvika Sarkar; Mohammad Fakhruddin Babar; Md. Mahadi Hassan; Monowar Hasan; Shubhra Kanti Karmaker Santu (ICPE, 2024)

LLMs as On-demand Customizable Service. - Souvika Sarkar; Mohammad Fakhruddin Babar; Monowar Hasan; Shubhra Kanti Karmaker (CoRR, 2024)

SNNLP: Energy-Efficient Natural Language Processing Using Spiking Neural Networks. - R. Alexander Knipper; Kaniz Mishty; Mehdi Sadi; Shubhra Kanti Karmaker Santu (CoRR, 2024)

Word Embeddings Revisited: Do LLMs Offer Something New? - Matthew Freestone; Shubhra Kanti Karmaker Santu (CoRR, 2024)

Prompting LLMs to Compose Meta-Review Drafts from Peer-Review Narratives of Scholarly Manuscripts. - Shubhra Kanti Karmaker Santu; Sanjeev Kumar Sinha; Naman Bansal; Alex Knipper; Souvika Sarkar; John Salvador; Yash Mahajan; Sri Guttikonda; Mousumi Akter 001; Matthew Freestone; Matthew C. Williams Jr. (CoRR, 2024)

Benchmarking LLMs on the Semantic Overlap Summarization Task. - John Salvador; Naman Bansal; Mousumi Akter 001; Souvika Sarkar; Anupam Das 008; Shubhra Kanti Karmaker (CoRR, 2024)

BongLLaMA: LLaMA for Bangla Language. - Abdullah Khan Zehady; Safi Al Mamun; Naymul Islam; Santu Karmaker (CoRR, 2024)

State Reconciliation Defects in Infrastructure as Code. - Md. Mahadi Hassan; John Salvador; Shubhra Kanti Karmaker Santu; Akond Rahman (Proc. ACM Softw. Eng., 2024)

Introducing "Forecast Utterance" for Conversational Data Science. - Md. Mahadi Hassan; Alex Knipper; Shubhra Kanti Karmaker Santu (Trans. Mach. Learn. Res., 2024)

Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences. - Mohammad Saqib Hasan; Saikat Chakraborty; Santu Karmaker; Niranjan Balasubramanian (ACL (1), 2025)

LLMs as Meta-Reviewers' Assistants: A Case Study. - Eftekhar Hossain; Sanjeev Kumar Sinha; Naman Bansal; R. Alexander Knipper; Souvika Sarkar; John Salvador; Yash Mahajan; Sri Guttikonda; Mousumi Akter 001; Md. Mahadi Hassan; Matthew Freestone; Matthew C. Williams Jr.; et al. (NAACL (Long Papers), 2025)

Set-Theoretic Compositionality of Sentence Embeddings. - Naman Bansal; Yash Mahajan; Sanjeev Kumar Sinha; Shubhra Kanti Karmaker (CoRR, 2025)

Zero-Shot Multi-Label Classification of Bangla Documents: Large Decoders Vs. Classic Encoders. - Souvika Sarkar; Md Najib Hasan; Shubhra Kanti Karmaker (CoRR, 2025)

LLM for Comparative Narrative Analysis. - Leo Kampen; Carlos Rabat Villarreal; Louis Yu; Santu Karmaker; Dongji Feng (CoRR, 2025)

Multi-Party Conversational Agents: A Survey. - Sagar Sapkota; Mohammad Saqib Hasan; Mubarak Shah; Santu Karmaker (CoRR, 2025)

Large Language Models for IT Automation Tasks: Are We There Yet? - Md. Mahadi Hassan; John Salvador; Akond Rahman; Santu Karmaker (CoRR, 2025)

Pitfalls of Evaluating Language Models with Open Benchmarks. - Md Najib Hasan; Mohammad Fakhruddin Babar; Souvika Sarkar; Monowar Hasan; Shubhra Kanti Karmaker (CoRR, 2025)