Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings. - Harshita Chopra; Aniket Vashishtha; Ridam Pal; Ashima; Ananya Tyagi; Tavpritesh Sethi (CoRR, 2021)

Capturing Racial & Gender Inequities on Social Media Platforms using Machine Learning. - Sonika Malik; Harshita Chopra; Aniket Vashishtha (EAI Endorsed Trans. Creative Technol., 2022)

On Evaluating and Mitigating Gender Biases in Multilingual Settings. - Aniket Vashishtha; Kabir Ahuja; Sunayana Sitaram (ACL (Findings), 2023)

Performance and Risk Trade-offs for Multi-word Text Prediction at Scale. - Aniket Vashishtha; S. Sai Prasad; Payal Bajaj; Vishrav Chaudhary; Kate Cook; Sandipan Dandapat; Sunayana Sitaram; Monojit Choudhury (EACL (Findings), 2023)

Causal Inference Using LLM-Guided Discovery. - Aniket Vashishtha; Abbavaram Gowtham Reddy; Abhinav Kumar 001; Saketh Bachu; Vineeth N. Balasubramanian; Amit Sharma 007 (CoRR, 2023)

Teaching Transformers Causal Reasoning through Axiomatic Training. - Aniket Vashishtha; Abhinav Kumar 001; Abbavaram Gowtham Reddy; Vineeth N. Balasubramanian; Amit Sharma 007 (CoRR, 2024)

Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference. - Aniket Vashishtha; Abbavaram Gowtham Reddy; Abhinav Kumar 001; Saketh Bachu; Vineeth N. Balasubramanian; Amit Sharma 007 (ICLR, 2025)