Aniket Vashishtha

According to our database, Aniket Vashishtha authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists.

Junlin Yang, Dylan Zhang, Xiangchen Song, Qirun Dai, Xiao Liu, Yuen Chen, Aniket Vashishtha, Jing Shi, Chenhao Tan, Hao Peng

CoRR, May, 2026

Improving Clinical Diagnosis with Counterfactual Multi-Agent Reasoning.

Zhiwen You, Xi Chen, Aniket Vashishtha, Simon S. Du, Gabriel Erion-Barner, Hongyuan Mei, Hao Peng, Yue Guo

CoRR, March, 2026

2025

Realizing LLMs' Causal Potential Requires Science-Grounded, Novel Benchmarks.

Ashutosh Srivastava, Lokesh Nagalapatti, Gautam Jajoo, Aniket Vashishtha, Parameswari Krishnamurthy, Amit Sharma

CoRR, October, 2025

Executable Counterfactuals: Improving LLMs' Causal Reasoning Through Code.

Aniket Vashishtha, Qirun Dai, Hongyuan Mei, Amit Sharma, Chenhao Tan, Hao Peng

CoRR, October, 2025

Teaching Transformers Causal Reasoning through Axiomatic Training.

Aniket Vashishtha, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Kabir Ahuja, Vineeth N. Balasubramanian, Amit Sharma

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference.

Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Teaching Transformers Causal Reasoning through Axiomatic Training.

Aniket Vashishtha, Abhinav Kumar, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma

CoRR, 2024

2023

Causal Inference Using LLM-Guided Discovery.

Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma

CoRR, 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

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

On Evaluating and Mitigating Gender Biases in Multilingual Settings.

Aniket Vashishtha, Kabir Ahuja, Sunayana Sitaram

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Capturing Racial & Gender Inequities on Social Media Platforms using Machine Learning.

Sonika Malik, Harshita Chopra, Aniket Vashishtha

EAI Endorsed Trans. Creative Technol., 2022

2021

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