Rahul Seetharaman

According to our database, Rahul Seetharaman authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

ECI: Effective Contrastive Information to Evaluate Hard-Negatives.

Aarush Sinha, Rahul Seetharaman, Aman Bansal

CoRR, March, 2026

Scaling Laws for Reranking in Information Retrieval.

Rahul Seetharaman, Aman Bansal, Hamed Zamani, Kaustubh D. Dhole

CoRR, March, 2026

From Native Memes to Global Moderation: Cross-Cultural Evaluation of Vision-Language Models for Hateful Meme Detection.

Mo Wang, Kaixuan Ren, Pratik Jalan, Ahmed Ashraf, Tuong Vy Vu, Rahul Seetharaman, Shah Nawaz, Usman Naseem

Proceedings of the ACM Web Conference 2026, 2026

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries.

Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazedeh

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

InsertRank: LLMs can reason over BM25 scores to Improve Listwise Reranking.

Rahul Seetharaman, Aman Bansal, Kaustubh D. Dhole

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

Leveraging Large Language Models for Predictive Analysis of Human Misery.

Bishanka Seal, Rahul Seetharaman, Aman Bansal, Abhilash Nandy

CoRR, August, 2025

"Lost-In-The-Later": Framework for Quantifying Contextual Grounding in Large Language Models.

Yufei Tao, Adam Hiatt, Rahul Seetharaman, Ameeta Agrawal

Proceedings of the IEEE International Conference on Data Mining, 2025

2024

Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis.

Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh

CoRR, 2024

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries.

Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh

CoRR, 2024

2022

Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads.

Dharma Shukla, Muthian Sivathanu, Srinidhi Viswanatha, Bhargav S. Gulavani, Rimma Nehme, Amey Agrawal, Chen Chen, Nipun Kwatra, Ramachandran Ramjee, Pankaj Sharma, Atul Katiyar, Vipul Modi, Vaibhav Sharma, Abhishek Singh, Shreshth Singhal, Kaustubh Welankar, Lu Xun, Ravi Anupindi, Karthik Elangovan, Hasibur Rahman, Zhou Lin, Rahul Seetharaman, Cheng Xu, Eddie Ailijiang, Suresh Krishnappa, Mark Russinovich

CoRR, 2022

2020

Stock Price Prediction using Bi-Directional LSTM based Sequence to Sequence Modeling and Multitask Learning.

Siddartha Mootha, Sashank Sridhar, Rahul Seetharaman, S. Chitrakala

Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020