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Yen-Ting Lin

National Taiwan University

15 papers hereh-index 9393 citations17 works total

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

author position
  • first author8
  • middle author6
  • last author1

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CL12
  • cs.LG2
  • cs.SD1
affiliations
  • National Taiwan University
Homepage
same name
  • Yen-Ting Lin — 99 papers, h 44
  • Yen-Ting Lin — 10 papers, h 2
  • Yen-Ting Lin — 4 papers, h 1
  • Yen-Ting Lin — 3 papers, h 2
  • Yen-Ting Lin — 3 papers, h 0
  • Yen-Ting Lin — 3 papers, h 3

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
20212026
most citedLLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

13 citations · 40 across the 15 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.CL2023★ 2 cited

Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned Language Model

Yen-Ting Lin, Yun-Nung Chen

In the realm of language models, the nuanced linguistic and cultural intricacies of Traditional Chinese, as spoken in Taiwan, have been largely overlooked. This paper introduces Ta…

cs.CL2023★ 13 cited

LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Yen-Ting Lin, Yun-Nung Chen

We propose LLM-Eval, a unified multi-dimensional automatic evaluation method for open-domain conversations with large language models (LLMs). Existing evaluation methods often rely…

cs.CL2023★ 1 cited

Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information

Yen-Ting Lin, Alexandros Papangelis, Seokhwan Kim +6

This work focuses on in-context data augmentation for intent detection. Having found that augmentation via in-context prompting of large pre-trained language models (PLMs) alone do…

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