2 citations · 4 across the 6 of their papers we have counts for
9 papers
Improving Retrieval in Sponsored Search by Leveraging Query Context Signals
Akash Kumar Mohankumar, Gururaj K, Gagan Madan +1
Accurately retrieving relevant bid keywords for user queries is critical in Sponsored Search but remains challenging, particularly for short, ambiguous queries. Existing dense and…
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval
Ravisri Valluri, Akash Kumar Mohankumar, Kushal Dave +4
Generative Retrieval introduces a new approach to Information Retrieval by reframing it as a constrained generation task, leveraging recent advancements in Autoregressive (AR) lang…
Unified Generative & Dense Retrieval for Query Rewriting in Sponsored Search
Akash Kumar Mohankumar, Bhargav Dodla, Gururaj K +1
Sponsored search is a key revenue source for search engines, where advertisers bid on keywords to target users or search queries of interest. However, finding relevant keywords for…
Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons
Akash Kumar Mohankumar, Mitesh M. Khapra
Recent studies have shown the advantages of evaluating NLG systems using pairwise comparisons as opposed to direct assessment. Given systems, a naive approach for identifying t…
Diversity driven Query Rewriting in Search Advertising
Akash Kumar Mohankumar, Nikit Begwani, Amit Singh
Retrieving keywords (bidwords) with the same intent as query, referred to as close variant keywords, is of prime importance for effective targeted search advertising. For head and…
Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining
Ananya B. Sai, Akash Kumar Mohankumar, Siddhartha Arora +1
There is an increasing focus on model-based dialog evaluation metrics such as ADEM, RUBER, and the more recent BERT-based metrics. These models aim to assign a high score to all re…