Shubhra Kanti Karmaker Santu

Orcid: 0000-0001-5744-6925

Affiliations:
  • University of Central Florida, FL, USA
  • Auburn University, AL, USA (former)


According to our database1, Shubhra Kanti Karmaker Santu authored at least 51 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Introducing "Forecast Utterance" for Conversational Data Science.
Trans. Mach. Learn. Res., 2024

State Reconciliation Defects in Infrastructure as Code.
Proc. ACM Softw. Eng., 2024

BongLLaMA: LLaMA for Bangla Language.
CoRR, 2024

Benchmarking LLMs on the Semantic Overlap Summarization Task.
CoRR, 2024

Prompting LLMs to Compose Meta-Review Drafts from Peer-Review Narratives of Scholarly Manuscripts.
CoRR, 2024

Word Embeddings Revisited: Do LLMs Offer Something New?
CoRR, 2024

SNNLP: Energy-Efficient Natural Language Processing Using Spiking Neural Networks.
CoRR, 2024

LLMs as On-demand Customizable Service.
CoRR, 2024

Processing Natural Language on Embedded Devices: How Well Do Modern Models Perform?
Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

SimPal: Towards a Meta-Conversational Framework to Understand Teacher's Instructional Goals for K-12 Physics.
Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Redundancy Aware Multiple Reference Based Gainwise Evaluation of Extractive Summarization.
Proceedings of the 20th Conference on Natural Language Processing, 2024

ALIGN-SIM: A Task-Free Test Bed for Evaluating and Interpreting Sentence Embeddings through Semantic Similarity Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Ad-Hoc Monitoring of COVID-19 Global Research Trends for Well-Informed Policy Making.
ACM Trans. Intell. Syst. Technol., April, 2023

Joint upper & expected value normalization for evaluation of retrieval systems: A case study with Learning-to-Rank methods.
Inf. Process. Manag., 2023

FaNS: a Facet-based Narrative Similarity Metric.
CoRR, 2023

The Daunting Dilemma with Sentence Encoders: Success on Standard Benchmarks, Failure in Capturing Basic Semantic Properties.
CoRR, 2023

Redundancy Aware Multi-Reference Based Gainwise Evaluation of Extractive Summarization.
CoRR, 2023

ChatGPT as your Personal Data Scientist.
CoRR, 2023

Exploring Challenges of Deploying BERT-based NLP Models in Resource-Constrained Embedded Devices.
CoRR, 2023

Zero-Shot Multi-Label Topic Inference with Sentence Encoders.
CoRR, 2023

Zero-Shot Multi-Label Topic Inference with Sentence Encoders and LLMs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

On Evaluation of Bangla Word Analogies.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
AutoML to Date and Beyond: Challenges and Opportunities.
ACM Comput. Surv., 2022

Joint Upper & Lower Bound Normalization for IR Evaluation.
CoRR, 2022

Multi-Narrative Semantic Overlap Task: Evaluation and Benchmark.
CoRR, 2022

Concept Annotation from Users Perspective: A New Challenge.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Exploring Universal Sentence Encoders for Zero-shot Text Classification.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Analogy-Guided Evolutionary Pretraining of Binary Word Embeddings.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Learning to Generate Overlap Summaries through Noisy Synthetic Data.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SEM-F1: an Automatic Way for Semantic Evaluation of Multi-Narrative Overlap Summaries at Scale.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Semantic Overlap Summarization among Multiple Alternative Narratives: An Exploratory Study.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Data-Driven Estimation of Effectiveness of COVID-19 Non-pharmaceutical Intervention Policies.
Proceedings of the IEEE International Conference on Big Data, 2022

Revisiting Automatic Evaluation of Extractive Summarization Task: Can We Do Better than ROUGE?
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
COVID19α: Interactive Spatio-Temporal Visualization of COVID-19 Symptoms through Tweet Analysis.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

2020
A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities.
CoRR, 2020

Towards Automated Sexual Violence Report Tracking.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Empirical Analysis of Impact of Query-Specific Customization of nDCG: A Case-Study with Learning-to-Rank Methods.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Influence mining from unstructured big data
PhD thesis, 2019

MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data.
CoRR, 2019

TILM: Neural Language Models with Evolving Topical Influence.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Analysis of Adaptive Training for Learning to Rank in Information Retrieval.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
SOFSAT: Towards a Setlike Operator based Framework for Semantic Analysis of Text.
SIGKDD Explor., 2018

NRF: A Naive Re-identification Framework.
Proceedings of the 2018 Workshop on Privacy in the Electronic Society, 2018

JIM: Joint Influence Modeling for Collective Search Behavior.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Modeling the Influence of Popular Trending Events on User Search Behavior.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

On Application of Learning to Rank for E-Commerce Search.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

A Study of Feature Construction for Text-based Forecasting of Time Series Variables.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Generative Feature Language Models for Mining Implicit Features from Customer Reviews.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2014
Forecasting time series - A layered ensemble architecture.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Towards better generalization in Pittsburgh learning classifier systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014


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