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researcher

Raymond Li

4 papers hereh-index 81k citations23 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CL1
  • cs.LG1
  • cs.SE1
  • eess.AS1
same name
  • Raymond Li — 19 papers, h 6
  • Raymond Li — 8 papers, h 2
  • Raymond Li — 6 papers, h 5
  • Raymond Li — 5 papers, h 7
  • Raymond Li — 2 papers, h 1
  • Raymond Li — 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
20182023
most citedTowards Deep Conversational Recommendations

125 citations · 203 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SE2023★ 54 cited

SantaCoder: don't reach for the stars!

Loubna Ben Allal, Raymond Li, Denis Kocetkov +38

The BigCode project is an open-scientific collaboration working on the responsible development of large language models for code. This tech report describes the progress of the col…

eess.AS2022

CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many Fine-Grained Prosody Transfer

Sri Karlapati, Penny Karanasou, Mateusz Lajszczak +7

In this paper, we present CopyCat2 (CC2), a novel model capable of: a) synthesizing speech with different speaker identities, b) generating speech with expressive and contextually…

cs.CL2019★ 24 cited

On Extractive and Abstractive Neural Document Summarization with Transformer Language Models

Sandeep Subramanian, Raymond Li, Jonathan Pilault +1

We present a method to produce abstractive summaries of long documents that exceed several thousand words via neural abstractive summarization. We perform a simple extractive step…

cs.LG2018★ 125 cited

Towards Deep Conversational Recommendations

Raymond Li, Samira Kahou, Hannes Schulz +3

There has been growing interest in using neural networks and deep learning techniques to create dialogue systems. Conversational recommendation is an interesting setting for the sc…

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