12 citations · 24 across the 21 of their papers we have counts for
4 papers · 1 filter
Disentangling Recall and Reasoning in Transformer Models through Layer-wise Attention and Activation Analysis
Harshwardhan Fartale, Ashish Kattamuri, Rahul Raja +3
Transformer-based language models excel at both recall (retrieving memorized facts) and reasoning (performing multi-step inference), but whether these abilities rely on distinct in…
Counterfactual Risk Minimization with IPS-Weighted BPR and Self-Normalized Evaluation in Recommender Systems
Rahul Raja, Arpita Vats
Learning and evaluating recommender systems from logged implicit feedback is challenging due to exposure bias. While inverse propensity scoring (IPS) corrects this bias, it often s…
Beyond Nearest Neighbors: Semantic Compression and Graph-Augmented Retrieval for Enhanced Vector Search
Rahul Raja, Arpita Vats
Vector databases typically rely on approximate nearest neighbor (ANN) search to retrieve the top-k closest vectors to a query in embedding space. While effective, this approach oft…
Estimation of Warfarin Dosage with Reinforcement Learning
Arpita Vats
In this paper, it has attempted to use Reinforcement learning to model the proper dosage of Warfarin for patients.The paper first examines two baselines: a fixed model of 35 mg/wee…