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M. Lewis

61 papers hereh-index 5583.4k citations83 works total

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

author position
  • first author4
  • middle author38
  • last author18

Across the 60 of 61 papers where every author was matched, so the position is known.

fields
  • cs.CL51
  • cs.LG4
  • cs.AI2
  • cs.CV2
  • cs.SE1
  • eess.AS1
same name
  • M. Lewis — 69 papers, h 21
  • M. Lewis — 25 papers, h 65
  • M. Lewis — 17 papers, h 3
  • M. Lewis — 13 papers, h 5
  • M. Lewis — 8 papers, h 1
  • M. Lewis — 6 papers, h 8

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
20162023
most citedRetrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

3.1k citations · 5.5k across the 54 of their papers we have counts for

collaborators
Showing 2018 · cs.CLShow all

4 papers · 2 filters

cs.CL2018★ 19 cited

Semantic Parsing for Task Oriented Dialog using Hierarchical Representations

Sonal Gupta, Rushin Shah, Mrinal Mohit +2

Task oriented dialog systems typically first parse user utterances to semantic frames comprised of intents and slots. Previous work on task oriented intent and slot-filling work ha…

cs.CL2018★ 16 cited

Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog

Sebastian Schuster, Sonal Gupta, Rushin Shah +1

One of the first steps in the utterance interpretation pipeline of many task-oriented conversational AI systems is to identify user intents and the corresponding slots. Since data…

cs.CL2018★ 1 cited

Neural Compositional Denotational Semantics for Question Answering

Nitish Gupta, Mike Lewis

Answering compositional questions requiring multi-step reasoning is challenging. We introduce an end-to-end differentiable model for interpreting questions about a knowledge graph…

cs.CL2018★ 151 cited

Hierarchical Neural Story Generation

Angela Fan, Mike Lewis, Yann Dauphin

We explore story generation: creative systems that can build coherent and fluent passages of text about a topic. We collect a large dataset of 300K human-written stories paired wit…

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