activity
20232025
most citedDeep Learning Based Named Entity Recognition Models for Recipes

5 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IR2025

LIME: Link-based User-item Interaction Modeling with Decoupled XOR Attention for Efficient Test Time Scaling

Yunjiang Jiang, Ayush Agarwal, Yang Liu +3

Scaling large recommendation systems requires advancing three major frontiers: processing longer user histories, expanding candidate sets, and increasing model capacity. While prom…

cs.CL2025

Retrieval and Augmentation of Domain Knowledge for Text-to-SQL Semantic Parsing

Manasi Patwardhan, Ayush Agarwal, Shabbirhussain Bhaisaheb +3

The performance of Large Language Models (LLMs) for translating Natural Language (NL) queries into SQL varies significantly across databases (DBs). NL queries are often expressed u…

cs.LG2025

Scalable Permutation-Aware Modeling for Temporal Set Prediction

Ashish Ranjan, Ayush Agarwal, Shalin Barot +1

Temporal set prediction involves forecasting the elements that will appear in the next set, given a sequence of prior sets, each containing a variable number of elements. Existing…

cs.CR2024

RiskSEA : A Scalable Graph Embedding for Detecting On-chain Fraudulent Activities on the Ethereum Blockchain

Ayush Agarwal, Lv Lu, Arjun Maheswaran +2

Like any other useful technology, cryptocurrencies are sometimes used for criminal activities. While transactions are recorded on the blockchain, there exists a need for a more rap…

cs.CL2024★ 5 cited

Deep Learning Based Named Entity Recognition Models for Recipes

Mansi Goel, Ayush Agarwal, Shubham Agrawal +6

Food touches our lives through various endeavors, including flavor, nourishment, health, and sustainability. Recipes are cultural capsules transmitted across generations via unstru…

cs.CL2023

Can NLP Models 'Identify', 'Distinguish', and 'Justify' Questions that Don't have a Definitive Answer?

Ayushi Agarwal, Nisarg Patel, Neeraj Varshney +7

Though state-of-the-art (SOTA) NLP systems have achieved remarkable performance on a variety of language understanding tasks, they primarily focus on questions that have a correct…