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Jin Cao

7 papers hereh-index 7188 citations9 works total

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

author position
  • first author1
  • middle author6

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.AI1
  • cs.LG1
same name
  • Jin Cao — 5 papers, h 19
  • Jin Cao — 3 papers
  • Jin Cao — 2 papers, h 3
  • Jin Cao — 2 papers
  • Jin Cao — 2 papers
  • Jin Cao — 2 papers

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
20172025
most citedLearning Robust Dialog Policies in Noisy Environments

19 citations · 31 across the 5 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2021★ 5 cited

Zero-shot Generalization in Dialog State Tracking through Generative Question Answering

Shuyang Li, Jin Cao, Mukund Sridhar +4

Dialog State Tracking (DST), an integral part of modern dialog systems, aims to track user preferences and constraints (slots) in task-oriented dialogs. In real-world settings with…

cs.CL2020★ 6 cited

Towards Semi-Supervised Semantics Understanding from Speech

Cheng-I Lai, Jin Cao, Sravan Bodapati +1

Much recent work on Spoken Language Understanding (SLU) falls short in at least one of three ways: models were trained on oracle text input and neglected the Automatics Speech Reco…

cs.CL2020

Style Attuned Pre-training and Parameter Efficient Fine-tuning for Spoken Language Understanding

Jin Cao, Jun Wang, Wael Hamza +2

Neural models have yielded state-of-the-art results in deciphering spoken language understanding (SLU) problems; however, these models require a significant amount of domain-specif…

cs.CL2017★ 19 cited

Learning Robust Dialog Policies in Noisy Environments

Maryam Fazel-Zarandi, Shang-Wen Li, Jin Cao +4

Modern virtual personal assistants provide a convenient interface for completing daily tasks via voice commands. An important consideration for these assistants is the ability to r…

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