Aniket Vashishtha

Hi! I am Aniket Vashishtha, a Pre-Doctoral Fellow at Microsoft Research India (MSRI), where I work with Dr. Amit Sharma on evaluating Causal Understanding and Reasoning capabilities in Large Language Models. My research centers on assessing the potential of LLMs for causal reasoning, serving as pseudo domain experts for inference in fields such as Healthcare. Prior to this, I worked with Dr. Sunayana Sitaram and Dr. Monojit Choudhary in the NLP team at MSR India, specifically focusing on how to make Language Models more inclusive and less biased. My worked concentrated on extending Responsible AI methods for bias evaluation and mitigation techniques to less popular and low resource languages with an emphasis on Indian Languages.

I am broadly interested in developing fair, performant and inclusive machine learning systems for real-world deployments. I graduated with a B.Tech (Hons.) in Information Technology from Guru Gobind Singh Indraprastha University, Delhi, India in 2022. For more details, check my CV or hit me up on my email.

Causal Inference Using LLM-Guided Discovery
Aniket Vashishtha , Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N Balasubramanian, and Amit Sharma
LLM-CP Workshop @ AAAI'24 | Are Large Language Models Simply Causal Parrots? Workshop @ AAAI Conference
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On Evaluating and Mitigating Gender Biases in Multilingual Settings
Aniket Vashishtha*, Kabir Ahuja*, and Sunayana Sitaram (* = Equal Contribution)
ACL'23 Findings | Annual Conference of the Association for Computational Linguistics
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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'23 Findings | European Chapter of the Association for Computational Linguistics
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Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study
Aniket Vashishtha*, Harshita Chopra*, Ridam Pal, Ashima Ashima, Ananya Tyagi, Tavpritesh Sethi (* = Equal Contribution)
JMIR | JMIR Infodemiology
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VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning
Raghav Awasthi, Keerat Kaur Guliani, Saif Ahmad Khan, Aniket Vashishtha , Mehrab Singh Gill, Arshita Bhatt, Aditya Nagori, Aniket Gupta, Ponnurangam Kumaraguru, Tavpritesh Sethi
Intelligence-Based Medicine | Elsevier Journal
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