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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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About me
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</p>The objective of this research is to design and develop a novel human-AI collaborative framework that can braid the Overlapping, Unique, and Conflicting information from a pair of alternative narratives into a single coherent summary.
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</p>This is an ongoing project in my lab, where we are developing a “Meta-Conversation Framework” to create dialog-based interactive laboratory experiences for middle school science students and teachers in the context of simulation-based science experiments.
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</p>This is an ongoing project where we develop conversational AI techniques by prompting Large Language Models (LLMs) to build a natural language interface between humans and the AutoML tools (e.g., Scikit-Learn), which, in turn, can facilitate acquiring new predictive skills via self-directed learning. To achieve this, we recently introduced a new prompting taxonomy called TeLER to design diverse prompts that can unleash the full potential of LLMs with proper knowledge grounding.
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</p>This ongoing project aims to develop a novel metric to quantify an author’s influence in the narrative braiding process by comparing the final braided narrative against the individual author’s contribution in terms of the Overlap-Unique-Conflict clauses extracted by the CAMPeN framework.
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</p>In this project, our main goal is to investigate how to make NLP/IR evaluation metrics more utility-centric and robust.
Below is a summary of my professional experiences.
Published in IJCNN, 2014
Md. Mustafizur Rahman, Shubhra Kanti Karmaker Santu, Md. Monirul Islam, Kazuyuki Murase
Published in IEEE Congress on Evolutionary Computation, 2014
Shubhra Kanti Karmaker Santu, Md. Mustafizur Rahman, Md. Monirul Islam, Kazuyuki Murase
Published in ACM CIKM, 2016
Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai
Published in WWW, 2017
Shubhra Kanti Karmaker Santu, Liangda Li, Dae Hoon Park, Yi Chang, ChengXiang Zhai
Published in ACM SIGIR, 2017
Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai
Published in ACM CIKM [Short Paper] , 2017
Yiren Wang, Dominic Seyler, Shubhra Kanti Karmaker Santu, ChengXiang Zhai
Published in ACM CIKM, 2018
Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai
Published in WPES@ACM CCS, 2018
Shubhra Kanti Karmaker Santu, Vincent Bindschaedler, ChengXiang Zhai, Carl A. Gunter
Published in ACM SIGKDD Explorations [Position Paper] , 2018
Shubhra Kanti Karmaker Santu, C. Geigle, D. C. Ferguson, W. Cope, M. Kalantzis, D. Searsmith, Chengxiang Zhai
Published in Arxiv [Preprint] , 2019
Lei Xu, Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni
Published in ACM CIKM, 2019
Saar Kuzi, Sahiti Labhishetty, Shubhra Kanti Karmaker Santu, Prasad Pradip Joshi and ChengXiang Zhai
Published in ACL SIGNLL CoNLL, 2019
Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni, ChengXiang Zhai
Published in ICWSM [To Appear], 2019
Naeemul Hassan, Amrit Poudel, Jason Hale, Claire Hubacek, Khandakar Tasnim Huq, Shubhra Kanti Karmaker Santu, Syed Ishtiaque Ahmed
Published in ACM CIKM, 2020
Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai
Undergraduate course, Bangladesh University of Engineering and Technology, 2012
</p>I have taught 3 theory course and more than 10 Lab courses at BUET CSE department at the undergraduate level.
Graduate course, University of Illinois Urbana Champaign, 2017
</p>I worked as one of the teaching assistants of CS 510 (Advanced Information Retrieval) Course in this semester under Prof. Chengxiang Zhai. The details of the course schedule can be found here
Graduate course, Auburn University, 2022
</p>I am teaching “Natural Language Processing” as a special topic CS/ Data Science course during Spring 2022 at Auburn University. I introduced this course at Auburn University. I have designed the course syllabus, assignments, exams and projects for this course can be found here.
Undergraduate course, Auburn University, 2023
</p>I am teaching “Machine Learning” CS undergraduate course during Fall 2023 at Auburn University.
Graduate course, Auburn University, 2023
</p>I am teaching Information Retrieval as a special topic CS/ Data Science course during Fall 2023 at Auburn University. I introduced this course at Auburn University. I have designed the course syllabus, assignments, exams and projects for this course can be found here.