Sagnik Ray Choudhury
17 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
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π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (7) π Academic Marathon (7) πΊοΈ Taxonomy Completionist (37)
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Taxonomy Completionist
(37)
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Hot Topic Early Bird
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Topic Evolution
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(33)
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The Questioner
(2)
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Prolific Year
(6)
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Unstoppable
(6)
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Keyword Collector
(79)
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Century Club
(16)
Conferences
EMNLP (5)
AACL (2)
ACL (2)
COLING (2)
IJCNLP (2)
NAACL (2)
CONLL (1)
EACL (1)
Top co-authors
Keywords
large language model
(5)
language model
(3)
linguistic knowledge
(3)
text classification
(3)
edge probing
(3)
prompt engineering
(2)
political compass test
(2)
natural language inference
(2)
political bia
(2)
scientific writing
(2)
retrieval-augmented generation
(2)
machine reading comprehension
(2)
natural language understanding
(2)
fine-grained classification
(2)
hallucination detection
(2)
model evaluation
(1)
statistical analysis
(1)
question answering
(1)
transfer learning
(1)
factor analysis
(1)
Papers
NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment
EACL 2026
A Detailed Factor Analysis for the Political Compass Test: Navigating Ideologies of Large Language Models
AACL 2025
Predicting The Scholarly Impact of Research Papers Using Retrieval-Augmented LLMs
ACL 2025
SciHallu: A Multi-Granularity Hallucination Detection Dataset for Scientific Writing
AACL 2025
BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text
EMNLP 2025
SciHallu: A Multi-Granularity Hallucination Detection Dataset for Scientific Writing
IJCNLP 2025
A Detailed Factor Analysis for the Political Compass Test: Navigating Ideologies of Large Language Models
IJCNLP 2025
Investigating the Generalizability of Pretrained Language Models across Multiple Dimensions: A Case Study of NLI and MRC
EMNLP 2024
Findings from the First Shared Task on Automated Prediction of Difficulty and Response Time for Multiple-Choice Questions
NAACL 2024
Implications of Annotation Artifacts in Edge Probing Test Datasets
EMNLP 2023
Implications of Annotation Artifacts in Edge Probing Test Datasets
CONLL 2023
Explaining Interactions Between Text Spans
EMNLP 2023
Machine Reading, Fast and Slow: When Do Models βUnderstandβ Language?
COLING 2022
Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models?
COLING 2022
Intent Features for Rich Natural Language Understanding
NAACL 2021
Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers
EMNLP 2020
Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLP
ACL 2018