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Aishwarya Padmakumar

Amazon Alexa AI

19 papers hereh-index 14873 citations33 works total

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

author position
  • first author5
  • middle author12

Across the 17 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CL10
  • cs.CV3
  • cs.LG2
  • cs.RO2
  • cs.CR1
  • cs.HC1
affiliations
  • Amazon Alexa AI
Homepage

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedImproving Grounded Natural Language Understanding through Human-Robot Dialog

35 citations · 50 across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.CL2021★ 2 cited

Rome was built in 1776: A Case Study on Factual Correctness in Knowledge-Grounded Response Generation

Sashank Santhanam, Behnam Hedayatnia, Spandana Gella +4

Recently neural response generation models have leveraged large pre-trained transformer models and knowledge snippets to generate relevant and informative responses. However, this…

cs.CV2021★ 2 cited

TEACh: Task-driven Embodied Agents that Chat

Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava +6

Robots operating in human spaces must be able to engage in natural language interaction with people, both understanding and executing instructions, and using conversation to resolv…

cs.CL2021★ 1 cited

Generative Conversational Networks

Alexandros Papangelis, Karthik Gopalakrishnan, Aishwarya Padmakumar +3

Inspired by recent work in meta-learning and generative teaching networks, we propose a framework called Generative Conversational Networks, in which conversational agents learn to…

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