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ORCIDShubhra Kanti Karmaker Santu
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- affiliation: Auburn University, AL, USA
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2020 – today
- 2024
[i21]Souvika Sarkar, Mohammad Fakhruddin Babar, Monowar Hasan, Shubhra Kanti Karmaker:
LLMs as On-demand Customizable Service. CoRR abs/2401.16577 (2024)- [i20]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) - [i19]Matthew Freestone, Shubhra Kanti Karmaker Santu:
Word Embeddings Revisited: Do LLMs Offer Something New? CoRR abs/2402.11094 (2024) - [i18]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) - [i17]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) - 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) - [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 - [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
- [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) - [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 - [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) - 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 - [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)
2010 – 2019
- 2019
- [b1]Shubhra Kanti Karmaker Santu:
Influence mining from unstructured big data. University of Illinois Urbana-Champaign, USA, 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 - [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) - 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) - [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
Coauthor Index
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last updated on 2024-04-21 17:23 CEST by the dblp team
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