10 citations · 13 across the 6 of their papers we have counts for
6 papers
Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval
Sachin Yadav, Deepak Saini, Anirudh Buvanesh +6
We develop accurate and efficient solutions for large-scale retrieval tasks where novel (zero-shot) items can arrive continuously at a rapid pace. Conventional Siamese-style approa…
Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval
Pranjal A. Chitale, Bishal Santra, Yashoteja Prabhu +1
Compact dual-encoder models are widely used for retrieval owing to their efficiency and scalability. However, such models often underperform compared to their Large Language Model…
On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification
Jatin Prakash, Anirudh Buvanesh, Bishal Santra +6
Extreme Classification (XC) aims to map a query to the most relevant documents from a very large document set. XC algorithms used in real-world applications learn this mapping from…
DSFormer: Effective Compression of Text-Transformers by Dense-Sparse Weight Factorization
Rahul Chand, Yashoteja Prabhu, Pratyush Kumar
With the tremendous success of large transformer models in natural language understanding, down-sizing them for cost-effective deployments has become critical. Recent studies have…
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems
Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman +1
Given a user's input text, text-matching recommender systems output relevant items by comparing the input text to available items' description, such as product-to-product recommend…
Extreme Regression for Dynamic Search Advertising
Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta +1
This paper introduces a new learning paradigm called eXtreme Regression (XR) whose objective is to accurately predict the numerical degrees of relevance of an extremely large numbe…