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Abhinav Joshi

Indian Institute of Technology Kanpur (IIT Kanpur)

16 papers hereh-index 10408 citations26 works total

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

author position
  • first author13
  • middle author3

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL11
  • cs.LG3
  • cs.CV1
  • cs.IR1
affiliations
  • Indian Institute of Technology Kanpur (IIT Kanpur)
Homepage
same name
  • Abhinav Joshi — 1 paper, h 9
  • Abhinav Joshi — 1 paper, h 0

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

activity
20212025
most citedShapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts

12 citations · 26 across the 15 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CL2024

COLD: Causal reasOning in cLosed Daily activities

Abhinav Joshi, Areeb Ahmad, Ashutosh Modi

Large Language Models (LLMs) have shown state-of-the-art performance in a variety of tasks, including arithmetic and reasoning; however, to gauge the intellectual capabilities of L…

cs.CL2024

Towards Robust Evaluation of Unlearning in LLMs via Data Transformations

Abhinav Joshi, Shaswati Saha, Divyaksh Shukla +4

Large Language Models (LLMs) have shown to be a great success in a wide range of applications ranging from regular NLP-based use cases to AI agents. LLMs have been trained on a vas…

cs.CL2024★ 1 cited

iSign: A Benchmark for Indian Sign Language Processing

Abhinav Joshi, Romit Mohanty, Mounika Kanakanti +4

Indian Sign Language has limited resources for developing machine learning and data-driven approaches for automated language processing. Though text/audio-based language processing…

cs.CL2024★ 1 cited

IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning

Abhinav Joshi, Shounak Paul, Akshat Sharma +3

Legal systems worldwide are inundated with exponential growth in cases and documents. There is an imminent need to develop NLP and ML techniques for automatically processing and un…

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