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Angler: Helping Machine Translation Practitioners Prioritize Model
  Improvements

Angler: Helping Machine Translation Practitioners Prioritize Model Improvements

12 April 2023
Samantha Robertson
Zijie J. Wang
Dominik Moritz
Mary Beth Kery
Fred Hohman
ArXivPDFHTML

Papers citing "Angler: Helping Machine Translation Practitioners Prioritize Model Improvements"

13 / 13 papers shown
Title
Compress and Compare: Interactively Evaluating Efficiency and Behavior
  Across ML Model Compression Experiments
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments
Angie Boggust
Venkatesh Sivaraman
Yannick Assogba
Donghao Ren
Dominik Moritz
Fred Hohman
VLM
55
3
0
06 Aug 2024
Farsight: Fostering Responsible AI Awareness During AI Application
  Prototyping
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping
Zijie J. Wang
Chinmay Kulkarni
Lauren Wilcox
Michael Terry
Michael A. Madaio
40
43
0
23 Feb 2024
Towards a Non-Ideal Methodological Framework for Responsible ML
Towards a Non-Ideal Methodological Framework for Responsible ML
Ramaravind Kommiya Mothilal
Shion Guha
Syed Ishtiaque Ahmed
44
7
0
20 Jan 2024
Canvil: Designerly Adaptation for LLM-Powered User Experiences
Canvil: Designerly Adaptation for LLM-Powered User Experiences
K. J. Kevin Feng
Q. V. Liao
Ziang Xiao
Jennifer Wortman Vaughan
Amy X. Zhang
David W. McDonald
39
16
0
17 Jan 2024
AttributionScanner: A Visual Analytics System for Model Validation with
  Metadata-Free Slice Finding
AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding
Xiwei Xuan
Jorge Henrique Piazentin Ono
Liang Gou
Kwan-Liu Ma
Liu Ren
56
1
0
12 Jan 2024
Interactive Reweighting for Mitigating Label Quality Issues
Interactive Reweighting for Mitigating Label Quality Issues
Weikai Yang
Yukai Guo
Jing Wu
Zheng Wang
Lan-Zhe Guo
Yu-Feng Li
Shixia Liu
31
5
0
08 Dec 2023
EvalLM: Interactive Evaluation of Large Language Model Prompts on
  User-Defined Criteria
EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria
Tae Soo Kim
Yoonjoo Lee
Jamin Shin
Young-Ho Kim
Juho Kim
34
69
0
24 Sep 2023
WizMap: Scalable Interactive Visualization for Exploring Large Machine
  Learning Embeddings
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings
Zijie J. Wang
Fred Hohman
Duen Horng Chau
34
20
0
15 Jun 2023
Discovering and Validating AI Errors With Crowdsourced Failure Reports
Discovering and Validating AI Errors With Crowdsourced Failure Reports
Ángel Alexander Cabrera
Abraham J. Druck
Jason I. Hong
Adam Perer
HAI
63
54
0
23 Sep 2021
GENder-IT: An Annotated English-Italian Parallel Challenge Set for
  Cross-Linguistic Natural Gender Phenomena
GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena
Eva Vanmassenhove
J. Monti
29
14
0
05 Aug 2021
The Tatoeba Translation Challenge -- Realistic Data Sets for Low
  Resource and Multilingual MT
The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MT
Jörg Tiedemann
168
164
0
13 Oct 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
242
320
0
21 Aug 2019
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
742
0
13 Dec 2018
1