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Arijit Ghosh Chowdhury
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2020 – today
- 2024
- [c10]Arijit Ghosh Chowdhury, Aman Chadha:
Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering. EACL (Student Research Workshop) 2024: 258-265 - [i6]Aishik Rakshit, Smriti Singh, Shuvam Keshari, Arijit Ghosh Chowdhury, Vinija Jain, Aman Chadha:
From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings. CoRR abs/2402.11512 (2024) - [i5]Arijit Ghosh Chowdhury, Md Mofijul Islam, Vaibhav Kumar, Faysal Hossain Shezan, Vaibhav Kumar, Vinija Jain, Aman Chadha:
Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models. CoRR abs/2403.04786 (2024) - 2023
- [i4]Arijit Ghosh Chowdhury, Aman Chadha:
Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering. CoRR abs/2309.06358 (2023) - [i3]Vinay Samuel, Houda Aynaou, Arijit Ghosh Chowdhury, Karthik Venkat Ramanan, Aman Chadha:
Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges. CoRR abs/2309.12426 (2023) - 2021
- [c9]Smriti Singh, Tanvi Anand, Arijit Ghosh Chowdhury, Zeerak Waseem:
"Hold on honey, men at work": A semi-supervised approach to detecting sexism in sitcoms. ACL (student) 2021: 180-185 - [c8]Subhadip Maji, Anudeep Srivatsav Appe, Raghav Bali, Arijit Ghosh Chowdhury, Veera Raghavendra Chikka, Vamsi M. Bhandaru:
An Interpretable Deep Learning System for Automatically Scoring Request for Proposals. ICTAI 2021: 851-855 - [c7]Subhadip Maji, Arijit Ghosh Chowdhury, Raghav Bali, Vamsi M. Bhandaru:
Exclusion and Inclusion: A Model Agnostic Approach to Feature Importance in DNNs. SSCI 2021: 1-7 - 2020
- [c6]Amit Jindal, Arijit Ghosh Chowdhury, Aniket Didolkar, Di Jin, Ramit Sawhney, Rajiv Ratn Shah:
Augmenting NLP models using Latent Feature Interpolations. COLING 2020: 6931-6936 - [c5]Amit Jindal, Narayanan Elavathur Ranganatha, Aniket Didolkar, Arijit Ghosh Chowdhury, Di Jin, Ramit Sawhney, Rajiv Ratn Shah:
SpeechMix - Augmenting Deep Sound Recognition Using Hidden Space Interpolations. INTERSPEECH 2020: 861-865 - [i2]Subhadip Maji, Arijit Ghosh Chowdhury, Raghav Bali, Vamsi M. Bhandaru:
Exclusion and Inclusion - A model agnostic approach to feature importance in DNNs. CoRR abs/2007.16010 (2020) - [i1]Subhadip Maji, Anudeep Srivatsav Appe, Raghav Bali, Veera Raghavendra Chikka, Arijit Ghosh Chowdhury, Vamsi M. Bhandaru:
An Interpretable Deep Learning System for Automatically Scoring Request for Proposals. CoRR abs/2008.02347 (2020)
2010 – 2019
- 2019
- [c4]Arijit Ghosh Chowdhury, Aniket Didolkar, Ramit Sawhney, Rajiv Ratn Shah:
ARHNet - Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic. ACL (2) 2019: 273-280 - [c3]Arijit Ghosh Chowdhury, Ramit Sawhney, Rajiv Ratn Shah, Debanjan Mahata:
#YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media. ACL (1) 2019: 2527-2537 - [c2]Arijit Ghosh Chowdhury, Aniket Didolkar, Ramit Sawhney, Rajiv Ratn Shah:
Beyond Hostile Linguistic Cues: The Gravity of Online Milieu for Hate Speech Detection in Arabic. HT 2019: 285-286 - [c1]Arijit Ghosh Chowdhury, Ramit Sawhney, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah:
Speak up, Fight Back! Detection of Social Media Disclosures of Sexual Harassment. NAACL-HLT (Student Research Workshop) 2019: 136-146
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last updated on 2024-04-24 22:57 CEST by the dblp team
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