Ashiqur R. KhudaBukhsh
27 papers · 2020–2026 · 4 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Artificial Intelligence
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Machine Learning
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Natural Language Processing
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social media analysis
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text classification
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large language model
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sentiment analysis
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active learning
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natural language processing
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political polarization
(3)
annotation quality
(2)
machine translation
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participatory ai
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in-context learning
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bias detection
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stance detection
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text analysis
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low-resource language
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text summarization
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content moderation
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sentiment classification
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responsible ai
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annotator reliability
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Papers
How Can You Tell if Your Large Language Model Could Be a Closet Antisemite? An Explainability-Based Audit Framework for Implicit Bias
AAAI 2026
Investigating Vaccine Buyer’s Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation
AAAI 2026
NewsLensAI: NER-Guided Summarization for Mitigating Hallucination and Bias in LLM-Based News Summaries (Student Abstract)
AAAI 2026
What About the Scene With the Hitler Reference? HAUNT: A Framework to Probe LLMs’ Self-consistency in Closed Domains Via Adversarial Nudge
ACL 2026
All You Need Is S P A C E: When Jailbreaking Meets Bias Audit and Reveals What Lies Beneath the Guardrails (Student Abstract)
AAAI 2025
ARTICLE: Annotator Reliability Through In-Context Learning
AAAI 2025
ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract)
AAAI 2025
Audience Engagement with Political Messaging on YouTube Shorts (Student Abstract)
AAAI 2025
Hope vs. Hate: Understanding User Interactions with LGBTQ+ News Content in Mainstream US News Media through the Lens of Hope Speech
EMNLP 2025
Towards a Bipartisan Understanding of Peace and Vicarious Interactions
IJCAI 2025
When Neutral Summaries Are Not That Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries (Student Abstract)
AAAI 2025
A Survival Guide for Iranian Women Prescribed by Iranian Women: Participatory AI to Investigate Intimate Partner Physical Violence in Iran
IJCAI 2024
Down the Toxicity Rabbit Hole: A Framework to Bias Audit Large Language Models with Key Emphasis on Racism, Antisemitism, and Misogyny
IJCAI 2024
Novax or Novak? Estimating Social Media Stance towards Celebrity Vaccine Hesitancy (Student Abstract)
AAAI 2024
Quantifying Political Polarization through the Lens of Machine Translation and Vicarious Offense
AAAI 2024
Rater Cohesion and Quality from a Vicarious Perspective
EMNLP 2024
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling
AAAI 2023
Disentangling Societal Inequality from Model Biases: Gender Inequality in Divorce Court Proceedings
IJCAI 2023
For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles
IJCAI 2023
A Murder and Protests, the Capitol Riot, and the Chauvin Trial: Estimating Disparate News Media Stance
IJCAI 2022
‘Beach’ to ‘Bitch’: Inadvertent Unsafe Transcription of Kids’ Content on YouTube
AAAI 2022
Conversational Inequality Through the Lens of Political Interruption
IJCAI 2022
An Unfair Affinity Toward Fairness: Characterizing 70 Years of Social Biases in BHollywood (Student Abstract)
AAAI 2021
Are Chess Discussions Racist? An Adversarial Hate Speech Data Set (Student Abstract)
AAAI 2021
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation
AAAI 2021
Harnessing Code Switching to Transcend the Linguistic Barrier
IJCAI 2020
Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas
AAAI 2020