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Freda Shi

Toyota Technological Institute at Chicago

13 papers hereh-index 124.1k citations20 works total

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

author position
  • sole author1
  • first author8
  • middle author2

Across the 11 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL13
affiliations
  • Toyota Technological Institute at Chicago
HomepageORCID 0009-0009-5697-449X
same name
  • Freda Shi — 9 papers, h 3
  • Freda Shi — 7 papers, h 3
  • Freda Shi — 5 papers, h 2
  • Freda Shi — 2 papers, h 2
  • Freda Shi — 1 paper, h 0
  • Freda Shi — 1 paper, 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
20182024
most citedLarge Language Models Can Be Easily Distracted by Irrelevant Context

106 citations · 163 across the 6 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.CL2023

Audio-Visual Neural Syntax Acquisition

Cheng-I Jeff Lai, Freda Shi, Puyuan Peng +10

We study phrase structure induction from visually-grounded speech. The core idea is to first segment the speech waveform into sequences of word segments, and subsequently induce ph…

cs.CL2023

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Yue Zhang, Yafu Li, Leyang Cui +13

While large language models (LLMs) have demonstrated remarkable capabilities across a range of downstream tasks, a significant concern revolves around their propensity to exhibit h…

cs.CL2023★ 106 cited

Large Language Models Can Be Easily Distracted by Irrelevant Context

Freda Shi, Xinyun Chen, Kanishka Misra +5

Large language models have achieved impressive performance on various natural language processing tasks. However, so far they have been evaluated primarily on benchmarks where all…

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