Rahul Seetharaman

12 papers A* 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
ECI: Effective Contrastive Information to Evaluate Hard-Negatives.
CoRR
Aarush Sinha, Rahul Seetharaman, Aman Bansal
2026 A* conf
From Native Memes to Global Moderation: Cross-Cultural Evaluation of Vision-Language Models for Hateful Meme Detection.
WWW
Mo Wang, Kaixuan Ren, Pratik Jalan, Ahmed Ashraf, Tuong Vy Vu, Rahul Seetharaman, Shah Nawaz, Usman Naseem
2026 J jnl
From Native Memes to Global Moderation: Cross-Cultural Evaluation of Vision-Language Models for Hateful Meme Detection.
CoRR
Mo Wang, Kaixuan Ren, Pratik Jalan, Ahmed Ashraf, Tuong Vy Vu, Rahul Seetharaman, Shah Nawaz, Usman Naseem
2026 J jnl
Scaling Laws for Reranking in Information Retrieval.
CoRR
Rahul Seetharaman, Aman Bansal, Hamed Zamani, Kaustubh D. Dhole
2025 — conf
"Lost-In-The-Later": Framework for Quantifying Contextual Grounding in Large Language Models.
ICDM (Workshops)
Yufei Tao, Adam Hiatt, Rahul Seetharaman, Ameeta Agrawal
2025 J jnl
"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models.
CoRR
Yufei Tao, Adam Hiatt, Rahul Seetharaman, Ameeta Agrawal
2025 J jnl
InsertRank: LLMs can reason over BM25 scores to Improve Listwise Reranking.
CoRR
Rahul Seetharaman, Kaustubh D. Dhole, Aman Bansal
2025 J jnl
Leveraging Large Language Models for Predictive Analysis of Human Misery.
CoRR
Bishanka Seal, Rahul Seetharaman, Aman Bansal, Abhilash Nandy
2024 J jnl
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries.
CoRR
Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh
2024 J jnl
Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis.
CoRR
Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh
2022 J jnl
Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads.
CoRR
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
2020 — conf
Stock Price Prediction using Bi-Directional LSTM based Sequence to Sequence Modeling and Multitask Learning.
UEMCON
Siddartha Mootha, Sashank Sridhar, Rahul Seetharaman, S. Chitrakala