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ORCIDShubhra Kanti Karmaker Santu
Person information
- affiliation: University of Central Florida, FL, USA
- affiliation (former): Auburn University, AL, USA
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Books and Theses
- 2019
[b1]Shubhra Kanti Karmaker Santu
:
Influence mining from unstructured big data. University of Illinois Urbana-Champaign, USA, 2019
Journal Articles
- 2024
- [j6]Md. Mahadi Hassan, John Salvador, Shubhra Kanti Karmaker Santu, Akond Rahman:
State Reconciliation Defects in Infrastructure as Code. Proc. ACM Softw. Eng. 1(FSE): 1865-1888 (2024) - [j5]Md. Mahadi Hassan, Alex Knipper, Shubhra Kanti Karmaker Santu:
Introducing "Forecast Utterance" for Conversational Data Science. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j4]Dongji Feng, Shubhra (Santu) K. Karmaker:
Joint upper & expected value normalization for evaluation of retrieval systems: A case study with Learning-to-Rank methods. Inf. Process. Manag. 60(4): 103404 (2023) - [j3]Souvika Sarkar, Biddut Sarker Bijoy, Syeda Jannatus Saba, Dongji Feng, Yash Mahajan, Mohammad Ruhul Amin, Sheikh Rabiul Islam, Shubhra Kanti Karmaker Santu:
Ad-Hoc Monitoring of COVID-19 Global Research Trends for Well-Informed Policy Making. ACM Trans. Intell. Syst. Technol. 14(2): 26:1-26:28 (2023) - 2022
- [j2]Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith, Lei Xu, Chengxiang Zhai, Kalyan Veeramachaneni:
AutoML to Date and Beyond: Challenges and Opportunities. ACM Comput. Surv. 54(8): 175:1-175:36 (2022) - 2018
- [j1]Shubhra Kanti Karmaker Santu, Chase Geigle, Duncan C. Ferguson, William W. Cope, Mary Kalantzis, Duane Searsmith, Chengxiang Zhai:
SOFSAT: Towards a Setlike Operator based Framework for Semantic Analysis of Text. SIGKDD Explor. 20(2): 21-30 (2018)
Conference and Workshop Papers
- 2025
- [c31]Mohammad Saqib Hasan, Saikat Chakraborty, Santu Karmaker, Niranjan Balasubramanian:
Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences. ACL (1) 2025: 26039-26057 - [c30]Eftekhar Hossain, Sanjeev Kumar Sinha, Naman Bansal, R. Alexander Knipper, Souvika Sarkar, John Salvador, Yash Mahajan, Sri Guttikonda, Mousumi Akter, Md. Mahadi Hassan, Matthew Freestone, Matthew C. Williams Jr., Dongji Feng, Santu Karmaker:
LLMs as Meta-Reviewers' Assistants: A Case Study. NAACL (Long Papers) 2025: 7763-7803 - 2024
- [c29]Yash Mahajan, Naman Bansal, Eduardo Blanco, Santu Karmaker:
ALIGN-SIM: A Task-Free Test Bed for Evaluating and Interpreting Sentence Embeddings through Semantic Similarity Alignment. EMNLP (Findings) 2024: 7393-7428 - [c28]Effat Farhana, Fan Wu, Hossain Shahriar, Shubhra Kanti Karmaker Santu, Akond Rahman:
Challenges and Preferences of Learning Machine Learning: A Student Perspective. FIE 2024: 1-9 - [c27]Mousumi Akter, Shubhra Kanti Karmaker:
Redundancy Aware Multiple Reference Based Gainwise Evaluation of Extractive Summarization. KONVENS 2024: 182-195 - [c26]Effat Farhana, Souvika Sarkar, Ralph Knipper, Indrani Dey, Hari Narayanan, Sadhana Puntambekar, Shubhra (Santu) K. Karmaker:
SimPal: Towards a Meta-Conversational Framework to Understand Teacher's Instructional Goals for K-12 Physics. L@S 2024: 461-465 - [c25]Souvika Sarkar, Mohammad Fakhruddin Babar, Md. Mahadi Hassan, Monowar Hasan, Shubhra Kanti Karmaker Santu:
Processing Natural Language on Embedded Devices: How Well Do Modern Models Perform? ICPE 2024: 211-222 - 2023
- [c24]Mousumi Akter, Souvika Sarkar, Shubhra Kanti Karmaker Santu:
On Evaluation of Bangla Word Analogies. EMNLP 2023: 13121-13127 - [c23]Shubhra Kanti Karmaker Santu, Dongji Feng:
TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks. EMNLP (Findings) 2023: 14197-14203 - [c22]Souvika Sarkar, Dongji Feng, Shubhra Kanti Karmaker Santu:
Zero-Shot Multi-Label Topic Inference with Sentence Encoders and LLMs. EMNLP 2023: 16218-16233 - 2022
- [c21]Mousumi Akter, Naman Bansal, Shubhra Kanti Karmaker Santu:
Revisiting Automatic Evaluation of Extractive Summarization Task: Can We Do Better than ROUGE? ACL (Findings) 2022: 1547-1560 - [c20]Yash Mahajan, Sheikh Rabiul Islam, Mohammad Ruhul Amin, Shubhra Kanti Karmaker Santu:
Data-Driven Estimation of Effectiveness of COVID-19 Non-pharmaceutical Intervention Policies. IEEE Big Data 2022: 5312-5321 - [c19]Naman Bansal, Mousumi Akter, Shubhra Kanti Karmaker Santu:
Semantic Overlap Summarization among Multiple Alternative Narratives: An Exploratory Study. COLING 2022: 6195-6207 - [c18]Naman Bansal, Mousumi Akter, Shubhra Kanti Karmaker Santu:
SEM-F1: an Automatic Way for Semantic Evaluation of Multi-Narrative Overlap Summaries at Scale. EMNLP 2022: 780-792 - [c17]Naman Bansal, Mousumi Akter, Shubhra Kanti Karmaker Santu:
Learning to Generate Overlap Summaries through Noisy Synthetic Data. EMNLP 2022: 11765-11777 - [c16]Souvika Sarkar, Dongji Feng, Shubhra Kanti Karmaker Santu:
Exploring Universal Sentence Encoders for Zero-shot Text Classification. AACL/IJCNLP (2) 2022: 135-147 - [c15]R. Alexander Knipper, Md. Mahadi Hassan, Mehdi Sadi, Shubhra Kanti Karmaker Santu:
Analogy-Guided Evolutionary Pretraining of Binary Word Embeddings. AACL/IJCNLP (1) 2022: 683-693 - [c14]Souvika Sarkar, Shubhra Kanti Karmaker Santu:
Concept Annotation from Users Perspective: A New Challenge. WWW (Companion Volume) 2022: 1180-1188 - 2021
- [c13]Biddut Sarker Bijoy, Syeda Jannatus Saba, Souvika Sarkar, Md. Saiful Islam, Sheikh Rabiul Islam, Mohammad Ruhul Amin, Shubhra Kanti Karmaker Santu:
COVID19α: Interactive Spatio-Temporal Visualization of COVID-19 Symptoms through Tweet Analysis. IUI Companion 2021: 28-30 - 2020
- [c12]Shubhra (Santu) K. Karmaker, Parikshit Sondhi, ChengXiang Zhai:
Empirical Analysis of Impact of Query-Specific Customization of nDCG: A Case-Study with Learning-to-Rank Methods. CIKM 2020: 3281-3284 - [c11]Naeemul Hassan, Amrit Poudel, Jason G. Hale, Claire Hubacek, Khandaker Tasnim Huq, Shubhra Kanti Karmaker Santu, Syed Ishtiaque Ahmed:
Towards Automated Sexual Violence Report Tracking. ICWSM 2020: 250-259 - 2019
- [c10]Saar Kuzi, Sahiti Labhishetty, Shubhra Kanti Karmaker Santu, Prasad Pradip Joshi, ChengXiang Zhai:
Analysis of Adaptive Training for Learning to Rank in Information Retrieval. CIKM 2019: 2325-2328 - [c9]Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni, Chengxiang Zhai:
TILM: Neural Language Models with Evolving Topical Influence. CoNLL 2019: 778-788 - 2018
- [c8]Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai:
JIM: Joint Influence Modeling for Collective Search Behavior. CIKM 2018: 637-646 - [c7]Shubhra Kanti Karmaker Santu, Vincent Bindschaedler, ChengXiang Zhai, Carl A. Gunter:
NRF: A Naive Re-identification Framework. WPES@CCS 2018: 121-132 - 2017
- [c6]Yiren Wang, Dominic Seyler, Shubhra Kanti Karmaker Santu, ChengXiang Zhai:
A Study of Feature Construction for Text-based Forecasting of Time Series Variables. CIKM 2017: 2347-2350 - [c5]Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai:
On Application of Learning to Rank for E-Commerce Search. SIGIR 2017: 475-484 - [c4]Shubhra Kanti Karmaker Santu, Liangda Li, Dae Hoon Park, Yi Chang, ChengXiang Zhai:
Modeling the Influence of Popular Trending Events on User Search Behavior. WWW (Companion Volume) 2017: 535-544 - 2016
- [c3]Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai:
Generative Feature Language Models for Mining Implicit Features from Customer Reviews. CIKM 2016: 929-938 - 2014
- [c2]Shubhra Kanti Karmaker Santu, Md. Mustafizur Rahman, Md. Monirul Islam, Kazuyuki Murase:
Towards better generalization in Pittsburgh learning classifier systems. IEEE Congress on Evolutionary Computation 2014: 1666-1673 - [c1]Md. Mustafizur Rahman, Shubhra Kanti Karmaker Santu, Md. Monirul Islam, Kazuyuki Murase:
Forecasting time series - A layered ensemble architecture. IJCNN 2014: 210-217
Informal and Other Publications
- 2025
- [i31]Naman Bansal, Yash Mahajan, Sanjeev Kumar Sinha, Shubhra Kanti Karmaker:
Set-Theoretic Compositionality of Sentence Embeddings. CoRR abs/2502.20975 (2025) - [i30]Souvika Sarkar, Md Najib Hasan, Shubhra Kanti Karmaker:
Zero-Shot Multi-Label Classification of Bangla Documents: Large Decoders Vs. Classic Encoders. CoRR abs/2503.02993 (2025) - [i29]Leo Kampen, Carlos Rabat Villarreal, Louis Yu, Santu Karmaker, Dongji Feng:
LLM for Comparative Narrative Analysis. CoRR abs/2504.08211 (2025) - [i28]Sagar Sapkota, Mohammad Saqib Hasan, Mubarak Shah, Santu Karmaker:
Multi-Party Conversational Agents: A Survey. CoRR abs/2505.18845 (2025) - [i27]Md. Mahadi Hassan, John Salvador, Akond Rahman, Santu Karmaker:
Large Language Models for IT Automation Tasks: Are We There Yet? CoRR abs/2505.20505 (2025) - [i26]Mohammad Saqib Hasan, Saikat Chakraborty, Santu Karmaker, Niranjan Balasubramanian:
Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences. CoRR abs/2506.00419 (2025) - [i25]Md Najib Hasan, Mohammad Fakhruddin Babar, Souvika Sarkar, Monowar Hasan, Shubhra Kanti Karmaker:
Pitfalls of Evaluating Language Models with Open Benchmarks. CoRR abs/2507.00460 (2025) - [i24]Faria Binte Kader, Santu Karmaker:
A Survey on Evaluation Metrics for Music Generation. CoRR abs/2509.00051 (2025) - [i23]R. Alexander Knipper, Charles S. Knipper, Kaiqi Zhang, Valerie K. Sims, Clint A. Bowers, Shubhra Kanti Karmaker Santu:
The Bias is in the Details: An Assessment of Cognitive Bias in LLMs. CoRR abs/2509.22856 (2025) - 2024
- [i22]Souvika Sarkar, Mohammad Fakhruddin Babar, Monowar Hasan, Shubhra Kanti Karmaker:
LLMs as On-demand Customizable Service. CoRR abs/2401.16577 (2024) - [i21]R. Alexander Knipper, Kaniz Mishty, Mehdi Sadi, Shubhra Kanti Karmaker Santu:
SNNLP: Energy-Efficient Natural Language Processing Using Spiking Neural Networks. CoRR abs/2401.17911 (2024) - [i20]Matthew Freestone, Shubhra Kanti Karmaker Santu:
Word Embeddings Revisited: Do LLMs Offer Something New? CoRR abs/2402.11094 (2024) - [i19]Shubhra Kanti Karmaker Santu, Sanjeev Kumar Sinha, Naman Bansal, Alex Knipper, Souvika Sarkar, John Salvador, Yash Mahajan, Sri Guttikonda, Mousumi Akter, Matthew Freestone, Matthew C. Williams Jr.:
Prompting LLMs to Compose Meta-Review Drafts from Peer-Review Narratives of Scholarly Manuscripts. CoRR abs/2402.15589 (2024) - [i18]John Salvador, Naman Bansal, Mousumi Akter, Souvika Sarkar, Anupam Das, Shubhra Kanti Karmaker:
Benchmarking LLMs on the Semantic Overlap Summarization Task. CoRR abs/2402.17008 (2024) - [i17]Abdullah Khan Zehady, Safi Al Mamun, Naymul Islam, Santu Karmaker:
BongLLaMA: LLaMA for Bangla Language. CoRR abs/2410.21200 (2024) - 2023
- [i16]Mousumi Akter, Souvika Sarkar, Shubhra Kanti Karmaker Santu:
On Evaluation of Bangla Word Analogies. CoRR abs/2304.04613 (2023) - [i15]Souvika Sarkar, Dongji Feng, Shubhra Kanti Karmaker Santu:
Zero-Shot Multi-Label Topic Inference with Sentence Encoders. CoRR abs/2304.07382 (2023) - [i14]Souvika Sarkar, Mohammad Fakhruddin Babar, Md. Mahadi Hassan, Monowar Hasan, Shubhra Kanti Karmaker Santu:
Exploring Challenges of Deploying BERT-based NLP Models in Resource-Constrained Embedded Devices. CoRR abs/2304.11520 (2023) - [i13]Shubhra Kanti Karmaker Santu, Dongji Feng:
TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks. CoRR abs/2305.11430 (2023) - [i12]Md. Mahadi Hassan, R. Alexander Knipper, Shubhra Kanti Karmaker Santu:
ChatGPT as your Personal Data Scientist. CoRR abs/2305.13657 (2023) - [i11]Mousumi Akter, Shubhra Kanti Karmaker Santu:
Redundancy Aware Multi-Reference Based Gainwise Evaluation of Extractive Summarization. CoRR abs/2308.02270 (2023) - [i10]Yash Mahajan, Naman Bansal, Shubhra Kanti Karmaker:
The Daunting Dilemma with Sentence Encoders: Success on Standard Benchmarks, Failure in Capturing Basic Semantic Properties. CoRR abs/2309.03747 (2023) - [i9]Md. Mahadi Hassan, Alex Knipper, Shubhra Kanti Karmaker:
Introducing "Forecast Utterance" for Conversational Data Science. CoRR abs/2309.03877 (2023) - [i8]Mousumi Akter, Shubhra Kanti Karmaker Santu:
FaNS: a Facet-based Narrative Similarity Metric. CoRR abs/2309.04823 (2023) - 2022
- [i7]Naman Bansal, Mousumi Akter, Shubhra Kanti Karmaker Santu:
Multi-Narrative Semantic Overlap Task: Evaluation and Benchmark. CoRR abs/2201.05294 (2022) - [i6]Shubhra Kanti Karmaker Santu, Dongji Feng:
Joint Upper & Lower Bound Normalization for IR Evaluation. CoRR abs/2209.05007 (2022) - 2020
- [i5]Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith, Lei Xu, ChengXiang Zhai, Kalyan Veeramachaneni:
A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities. CoRR abs/2010.10777 (2020) - 2019
- [i4]Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai:
JIM: Joint Influence Modeling for Collective Search Behavior. CoRR abs/1903.00562 (2019) - [i3]Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai:
On Application of Learning to Rank for E-Commerce Search. CoRR abs/1903.04263 (2019) - [i2]Lei Xu, Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni:
MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data. CoRR abs/1906.12348 (2019) - [i1]Naeemul Hassan, Amrit Poudel, Jason Hale, Claire Hubacek, Khandakar Tasnim Huq, Shubhra Kanti Karmaker Santu, Syed Ishtiaque Ahmed:
Towards Automated Sexual Violence Report Tracking. CoRR abs/1911.06961 (2019)
Coauthor Index
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