◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Michel Galley

Microsoft Research

42 papers hereh-index 4718.5k citations105 works total

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

author position
  • first author1
  • middle author37
  • last author3

Across the 41 of 42 papers where every author was matched, so the position is known.

fields
  • cs.CL41
  • cs.AI1
affiliations
  • Microsoft Research
Homepage
same name
  • Michel Galley — 21 papers, h 9
  • Michel Galley — 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
20152023
most citedDeep Reinforcement Learning for Dialogue Generation

406 citations · 2.4k across the 39 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CL2020

Text Editing by Command

Felix Faltings, Michel Galley, Gerold Hintz +4

A prevailing paradigm in neural text generation is one-shot generation, where text is produced in a single step. The one-shot setting is inadequate, however, when the constraints t…

cs.CL2020★ 6 cited

Dialogue Response Ranking Training with Large-Scale Human Feedback Data

Xiang Gao, Yizhe Zhang, Michel Galley +2

Existing open-domain dialog models are generally trained to minimize the perplexity of target human responses. However, some human replies are more engaging than others, spawning m…

cs.CL2020★ 3 cited

MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform

Xiang Gao, Michel Galley, Bill Dolan

We present MixingBoard, a platform for quickly building demos with a focus on knowledge grounded stylized text generation. We unify existing text generation algorithms in a shared…

cs.CL2020★ 2 cited

A Controllable Model of Grounded Response Generation

Zeqiu Wu, Michel Galley, Chris Brockett +8

Current end-to-end neural conversation models inherently lack the flexibility to impose semantic control in the response generation process, often resulting in uninteresting respon…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.