◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Kai-Wei Chang

UCLA

8 papers hereh-index 6639.9k citations238 works total

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

author position
  • middle author6
  • last author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV2
  • cs.AI1
  • eess.AS1
affiliations
  • UCLA
Homepage
same name
  • Kai-Wei Chang — 41 papers, h 20
  • Kai-Wei Chang — 22 papers, h 13
  • Kai-Wei Chang — 16 papers, h 8
  • Kai-Wei Chang — 11 papers, h 7
  • Kai-Wei Chang — 10 papers, h 12
  • Kai-Wei Chang — 9 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

most citedIdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models

4 citations · 6 across the 2 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2024

KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation

Di Wu, Da Yin, Kai-Wei Chang

Despite the significant advancements in keyphrase extraction and keyphrase generation methods, the predominant approach for evaluation mainly relies on exact matching with human re…

cs.CL2024

Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step

Liunian Harold Li, Jack Hessel, Youngjae Yu +3

Chain-of-thought prompting (e.g., "Let's think step-by-step") primes large language models to verbalize rationalization for their predictions. While chain-of-thought can lead to dr…

cs.CL2024

Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study

Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang

Neural models that do not rely on pre-training have excelled in the keyphrase generation task with large annotated datasets. Meanwhile, new approaches have incorporated pre-trained…

cs.CL2024

Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis

Oscar Chew, Hsuan-Tien Lin, Kai-Wei Chang +1

Recent research has revealed that machine learning models have a tendency to leverage spurious correlations that exist in the training set but may not hold true in general circumst…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.