Updates
Apr 2025: | Presenting my work Causal Order: Leveraging Imperfect Experts for Causal Inference at ICLR'25 main conference. |
Apr 2025: | Invited to give a talk on my work on LLMs and Causality at CISPA, Germany. |
Apr 2025: | Amit Sharma discusses our work on Causal Axiomatic Training on Aleksander Molak's Podcast. |
Mar 2025: | Serving as an emergency reviewer at ACL'25. |
Feb 2025: | Reviewer for Reasoning and Planning and Re-Align workshops at ICLR 2025. |
Jan 2025: | Our paper Causal Order: Leveraging Imperfect Experts for Causal Inference accepted at ICLR'25. |
Nov 2024: | Gave a talk at Causal Data Science Summit on Teaching Transformers Causal Reasoning through Axiomatic Framework, alongside leading researchers from causality, economics, and language models. |
Oct 2024: | Paper accepted as Oral at CaLM workshop at NeurIPS 2024. |
Sep 2024: | Received the prestigious JN Tata Scholarship. |
Aug 2024: | Joined UIUC as a Thesis Masters student in Computer Science, and started working with Prof. Hao Peng. |
Jul 2024: | Presented our work on Axiomatic Training for Causal Reasoning at MSR reading group. |
Jul 2024: | Released our work Teaching Transformers Causal Reasoning through Axiomatic Training on arXiv. Work was well-received online (tweet) and covered by tech accounts (coverage). |
Feb 2024: | Gave an oral talk in-person at AAAI LLM-CP workshop in Vancouver, Canada. |
Sep 2023: | Invited to lead a 2-day workshop in Kerala. |
May 2023: | Paper on Evaluating Gender Biases in Multilingual Settings accepted at ACL'23 Findings. |
Apr 2023: | Started working with Dr. Amit Sharma and Prof. Vineeth N. Balasubramanian. |
Jan 2023: | Our paper Performance and Risk Trade-offs for Multi-word Text Prediction at Scale accepted at EACL 2023 Findings. |
Oct 2022: | Team won first place at Microsoft Turing Hackathon. |
Jan 2022: | Started interning in the NLP team at Microsoft Research India with Dr. Monojit Choudhury and Dr. Sunayana Sitaram, focusing on Responsible AI problems. |
Publications
Causal Order: Leveraging Imperfect Experts for Causal Inference
, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N Balasubramanian,
and Amit Sharma
ICLR'25 | International Conference on Learning Representations
pdf
abstract
Teaching Transformer Causal Reasoning through Axiomatic Reasoning
, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Kabir Ahuja,
Vineeth N Balasubramanian, Amit Sharma
LLM Reasoning and Planning Workshop @ ICLR'25
pdf
abstract
On Evaluating and Mitigating Gender Biases in Multilingual Settings
, Kabir Ahuja*, and Sunayana Sitaram
(* = Equal Contribution)
ACL'23 Findings | Annual Conference of the Association for Computational
Linguistics
pdf
abstract
Performance and Risk Trade-offs for Multi-word Text Prediction at Scale
, 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
pdf
abstract
Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study
, Harshita Chopra*, Ridam Pal, Ashima Ashima, Ananya Tyagi, Tavpritesh Sethi
(* = Equal Contribution)
JMIR | JMIR Infodemiology
pdf
abstract
cite
VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning
Raghav Awasthi, Keerat Kaur Guliani, Saif Ahmad Khan, , Mehrab Singh Gill, Arshita Bhatt, Aditya Nagori, Aniket Gupta,
Ponnurangam Kumaraguru, Tavpritesh Sethi
Intelligence-Based Medicine | Elsevier Journal
pdf
abstract