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researcher

Xinyue Chen

Carnegie Mellon University

4 papers hereh-index 4880 citations5 works total

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

author position
  • middle author4

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

fields
  • cs.CL3
  • cs.CV1
affiliations
  • Carnegie Mellon University
same name
  • Xinyue Chen — 9 papers, h 7
  • Xinyue Chen — 3 papers
  • Xinyue Chen — 3 papers, h 1
  • Xinyue Chen — 3 papers, h 1
  • Xinyue Chen — 2 papers, h 4
  • Xinyue Chen — 2 papers, h 1

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
20192023
most citedKagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

32 citations · 63 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 4 cited

Revisiting the Role of Language Priors in Vision-Language Models

Zhiqiu Lin, Xinyue Chen, Deepak Pathak +2

Vision-language models (VLMs) are impactful in part because they can be applied to a variety of visual understanding tasks in a zero-shot fashion, without any fine-tuning. We study…

cs.CL2023★ 1 cited

Hybrid Transducer and Attention based Encoder-Decoder Modeling for Speech-to-Text Tasks

Yun Tang, Anna Y. Sun, Hirofumi Inaguma +5

Transducer and Attention based Encoder-Decoder (AED) are two widely used frameworks for speech-to-text tasks. They are designed for different purposes and each has its own benefits…

cs.CL2020★ 26 cited

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering

Yanlin Feng, Xinyue Chen, Bill Yuchen Lin +3

Existing work on augmenting question answering (QA) models with external knowledge (e.g., knowledge graphs) either struggle to model multi-hop relations efficiently, or lack transp…

cs.CL2019★ 32 cited

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

Bill Yuchen Lin, Xinyue Chen, Jamin Chen +1

Commonsense reasoning aims to empower machines with the human ability to make presumptions about ordinary situations in our daily life. In this paper, we propose a textual inferenc…

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