Indira Sen
16 papers · 2018–2026 · 4 conferences · across top CS/AI conferences
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π£ Hot Topic Early Bird
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Academic Marathon
(7)
π§
Keyword Pioneer
π§¬
Topic Evolution
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Keyword Champion
(2)
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Keyword Collector
(77)
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(6)
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Conferences
ACL (7)
EMNLP (4)
EACL (3)
NAACL (2)
Top co-authors
Keywords
large language model
(7)
social media
(3)
text classification
(2)
pos tagging
(2)
sexism detection
(2)
counterfactually augmented datum
(2)
counterfactual augmentation
(2)
sentiment analysis
(2)
hate speech detection
(2)
named entity recognition
(2)
model robustness
(2)
counterfactual data augmentation
(2)
survey methodology
(2)
spurious feature
(2)
social media text
(2)
out-of-domain generalization
(2)
zero-shot learning
(2)
demographic bia
(2)
bias detection
(1)
readability assessment
(1)
Papers
Neural network embeddings recover value dimensions from psychometric survey items on par with human data
EACL 2026
Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social Simulation
EACL 2026
Do Psychometric Tests Work for Large Language Models? Evaluation of Tests on Sexism, Racism, and Morality
EACL 2026
Missing the Margins: A Systematic Literature Review on the Demographic Representativeness of LLMs
ACL 2025
Sensitive Content Classification in Social Media: A Holistic Resource and Evaluation
ACL 2025
Tell Me What You Know About Sexism: Expert-LLM Interaction Strategies and Co-Created Definitions for Zero-Shot Sexism Detection
NAACL 2025
Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models
ACL 2025
Robustness and Confounders in the Demographic Alignment of LLMs with Human Perceptions of Offensiveness
ACL 2025
The Prompt Makes the Person(a): A Systematic Evaluation of Sociodemographic Persona Prompting for Large Language Models
EMNLP 2025
An Open Multilingual System for Scoring Readability of Wikipedia
ACL 2024
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
EMNLP 2023
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection
NAACL 2022
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?
EMNLP 2021
On the Reliability and Validity of Detecting Approval of Political Actors in Tweets
EMNLP 2020
Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets
ACL 2018
A Twitter Corpus for Hindi-English Code Mixed POS Tagging
ACL 2018