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Manish Gupta

Microsoft

7 papers hereh-index 233.4k citations40 works total

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

author position
  • middle author6
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV2
  • cs.SI1
affiliations
  • Microsoft
  • IIIT Hyderabad
Homepage
same name
  • Manish Gupta — 22 papers, h 21
  • Manish Gupta — 9 papers, h 9
  • Manish Gupta — 6 papers, h 2
  • Manish Gupta — 6 papers, h 3
  • Manish Gupta — 5 papers, h 1
  • Manish Gupta — 4 papers, h 2

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
20172023
most citedSTWalk: Learning Trajectory Representations in Temporal Graphs

22 citations · 24 across the 6 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2023

Frugal Prompting for Dialog Models

Bishal Santra, Sakya Basak, Abhinandan De +2

The use of large language models (LLMs) in natural language processing (NLP) tasks is rapidly increasing, leading to changes in how researchers approach problems in the field. To f…

cs.CL2023

XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages

Dhaval Taunk, Shivprasad Sagare, Anupam Patil +3

Lack of encyclopedic text contributors, especially on Wikipedia, makes automated text generation for low resource (LR) languages a critical problem. Existing work on Wikipedia text…

cs.CL2023

Unsupervised Language agnostic WER Standardization

Satarupa Guha, Rahul Ambavat, Ankur Gupta +2

Word error rate (WER) is a standard metric for the evaluation of Automated Speech Recognition (ASR) systems. However, WER fails to provide a fair evaluation of human perceived qual…

cs.CL2022★ 1 cited

XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages

Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh +3

Multiple critical scenarios (like Wikipedia text generation given English Infoboxes) need automated generation of descriptive text in low resource (LR) languages from English fact…

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