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researcher

V. Verma

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

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

fields
  • cs.AI1
  • cs.CL1
  • cs.CV1
same name
  • V. Verma — 23 papers, h 47
  • V. Verma — 21 papers
  • V. Verma — 4 papers, h 5
  • V. Verma — 3 papers, h 10
  • V. Verma — 1 paper
  • V. Verma — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedTaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

cs.AI2025★ 1 cited

TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning

Jiaru Zou, Soumya Roy, Vinay Kumar Verma +6

Process Reward Models (PRMs) have recently emerged as a powerful framework for enhancing the reasoning capabilities of large reasoning models (LRMs), particularly in the context of…

cs.CV2025

NOVO: Unlearning-Compliant Vision Transformers

Soumya Roy, Soumya Banerjee, Vinay Verma +3

Machine unlearning (MUL) refers to the problem of making a pre-trained model selectively forget some training instances or class(es) while retaining performance on the remaining da…

cs.CL2025

MoEMoE: Question Guided Dense and Scalable Sparse Mixture-of-Expert for Multi-source Multi-modal Answering

Vinay Kumar Verma, Shreyas Sunil Kulkarni, Happy Mittal +1

Question Answering (QA) and Visual Question Answering (VQA) are well-studied problems in the language and vision domain. One challenging scenario involves multiple sources of infor…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.