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Khyathi Raghavi Chandu

38 papers hereh-index 233.8k citations63 works total

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

author position
  • first author9
  • middle author27
  • last author2

Across the 38 of 38 papers where every author was matched, so the position is known.

fields
  • cs.CL29
  • cs.AI6
  • cs.LG1
  • cs.RO1
  • cs.SD1
same name
  • Khyathi Raghavi Chandu — 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

activity
20182026
most citedA Survey of Code-switched Speech and Language Processing

52 citations · 224 across the 34 of their papers we have counts for

collaborators
Showing 2021 · cs.CLShow all

4 papers · 2 filters

cs.CL2021

Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching

Parul Chopra, Sai Krishna Rallabandi, Alan W Black +1

Code-switching (CS), a ubiquitous phenomenon due to the ease of communication it offers in multilingual communities still remains an understudied problem in language processing. Th…

cs.CL2021

CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing

Sai Muralidhar Jayanthi, Kavya Nerella, Khyathi Raghavi Chandu +1

The NLP community has witnessed steep progress in a variety of tasks across the realms of monolingual and multilingual language processing recently. These successes, in conjunction…

cs.CL2021

Grounding 'Grounding' in NLP

Khyathi Raghavi Chandu, Yonatan Bisk, Alan W Black

The NLP community has seen substantial recent interest in grounding to facilitate interaction between language technologies and the world. However, as a community, we use the term…

cs.CL2021★ 52 cited

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal +53

We introduce GEM, a living benchmark for natural language Generation (NLG), its Evaluation, and Metrics. Measuring progress in NLG relies on a constantly evolving ecosystem of auto…

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