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Vikram Aggarwal

4 papers hereh-index 323 citations7 works total

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author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IR3
  • cs.CL1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CL2025

Information Extraction From Fiscal Documents Using LLMs

Vikram Aggarwal, Jay Kulkarni, Aditi Mascarenhas +4

Large Language Models (LLMs) have demonstrated remarkable capabilities in text comprehension, but their ability to process complex, hierarchical tabular data remains underexplored.…

cs.IR2025

Efficient Item ID Generation for Large-Scale LLM-based Recommendation

Anushya Subbiah, Vikram Aggarwal, James Pine +3

Integrating product catalogs and user behavior into LLMs can enhance recommendations with broad world knowledge, but the scale of real-world item catalogs, often containing million…

cs.IR2025

Item-Language Model for Conversational Recommendation

Li Yang, Anushya Subbiah, Hardik Patel +5

Large-language Models (LLMs) have been extremely successful at tasks like complex dialogue understanding, reasoning and coding due to their emergent abilities. These emergent abili…

cs.IR2024

Improved Estimation of Ranks for Learning Item Recommenders with Negative Sampling

Anushya Subbiah, Steffen Rendle, Vikram Aggarwal

In recommendation systems, there has been a growth in the number of recommendable items (# of movies, music, products). When the set of recommendable items is large, training and e…

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