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Nishanth Sridhar Nakshatri
PhD student, Computer Science, Purdue University
Joined
March 2022
Names
Nishanth Sridhar Nakshatri
(Preferred)
,
Nishanth Nakshatri
Emails
****@purdue.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Semantic Scholar
ACL Anthology
Career & Education History
PhD student
Computer Science,
Purdue University
(cs.purdue.edu)
2021
–
2026
MS student
Computer Science and Engineering,
Electrical Engineering and Computer Science, Pennsylvania State University
(eecs.psu.edu)
2019
–
2021
Advisors, Relations & Conflicts
PhD Advisor
Dan Goldwasser
2021
–
Present
Expertise
Computational Social Science
Present
Natural Language Understanding
Present
Publications
When Facts Change: Probing LLMs on Evolving Knowledge with evolveQA
Nishanth Sridhar Nakshatri
,
Shamik Roy
,
Manoj Ghuhan Arivazhagan
,
Hanhan Zhou
,
Vinayshekhar Bannihatti Kumar
,
Rashmi Gangadharaiah
OpenReview Archive Direct Upload
Readers:
Everyone
Constrained Decoding with Speculative Lookaheads
Nishanth Sridhar Nakshatri
,
Shamik Roy
,
Rajarshi Das
,
Suthee Chaidaroon
,
Leonid Boytsov
,
Rashmi Gangadharaiah
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies
Readers:
Everyone
Talking Point based Ideological Discourse Analysis in News Events
Nishanth Sridhar Nakshatri
,
Nikhil Mehta
,
Siyi Liu
,
Sihao Chen
,
Daniel Hopkins
,
Dan Roth
,
Dan Goldwasser
Findings of the Association for Computational Linguistics: ACL 2025
Readers:
Everyone
TAIGR: Towards Modeling Influencer Content on Social Media via Structured, Pragmatic Inference
Nishanth Sridhar Nakshatri
,
Eylon Caplan
,
Rajkumar Pujari
,
Dan Goldwasser
OpenReview Archive Direct Upload
Readers:
Everyone
Using LLM for Improving Key Event Discovery: Temporal-Guided News Stream Clustering with Event Summaries
Nishanth Sridhar Nakshatri
,
Siyi Liu
,
Sihao Chen
,
Dan Roth
,
Dan Goldwasser
,
Daniel Hopkins
EMNLP 2023 Findings
Readers:
Everyone
A Synthetic Prediction Market for Estimating Confidence in Published Work
Sarah Michele Rajtmajer
,
Christopher Griffin
,
Jian Wu
,
Robert Fraleigh
,
Laxmaan Balaji
,
Anna Squicciarini
,
Anthony Kwasnica
,
David M. Pennock
,
Michael McLaughlin
,
Timothy Fritton
,
Nishanth Nakshatri
,
Arjun Manoj Menon
,
Sai Ajay Modukuri
,
Rajal Nivargi
,
Xin Wei
,
C. Lee Giles
2022 (modified: 29 Mar 2022)
CoRR 2022
Readers:
Everyone
Design and Analysis of a Synthetic Prediction Market using Dynamic Convex Sets
Nishanth Nakshatri
,
Arjun Manoj Menon
,
C. Lee Giles
,
Sarah Michele Rajtmajer
,
Christopher Griffin
2021 (modified: 29 Mar 2022)
CoRR 2021
Readers:
Everyone
Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models
Jian Wu
,
Rajal Nivargi
,
Sree Sai Teja Lanka
,
Arjun Manoj Menon
,
Sai Ajay Modukuri
,
Nishanth Nakshatri
,
Xin Wei
,
Zhuoer Wang
,
James Caverlee
,
Sarah Michele Rajtmajer
,
C. Lee Giles
2021 (modified: 29 Mar 2022)
CoRR 2021
Readers:
Everyone
Co-Authors
Anna Squicciarini
Anthony Kwasnica
Arjun Manoj Menon
C. Lee Giles
Christopher Griffin
Dan Goldwasser
Dan Roth
Daniel Hopkins
David M. Pennock
Eylon Caplan
Hanhan Zhou
James Caverlee
Jian Wu
Laxmaan Balaji
Leonid Boytsov
Manoj Ghuhan Arivazhagan
Michael McLaughlin
Nikhil Mehta
Rajal Nivargi
Rajarshi Das
Rajkumar Pujari
Rashmi Gangadharaiah
Robert Fraleigh
Sai Ajay Modukuri
Sarah Michele Rajtmajer
View all 34 co-authors