Yoshinari Fujinuma
Office Address
Virtual

Education

Professional
Experiencefujinumay@gmail.com
http://akkikiki.github.io
Twitter: @akkikiki
University of Colorado Boulder, USADec 2021
Ph.D. in Computer ScienceAdvisors- Katharina Kann(2020-2021), Jordan Boyd-Graber(-2021), Michael J. Paul (-2019)
University of Tokyo, Japan
M.S. in Computer Science; Advisor: Akiko Aizawa

Sep 2014

International Christian University, Japan
B.A. in Computer Science and Mathematics; Advisor: Grant Pogosyan

Mar 2012

Applied Scientist, Amazon.com, Inc., USA
Sep 2021 - Present• AWS Bedrock: Worked on data curation and supervised fine-tuning for building
the first-party LLM “Titan” using the Amazon Elastic Kubernetes Service (EKS)
cluster.
• AWS Comprehend: Information extraction on document images/PDFs. Made theinference time ∼ 3x faster using FasterTransformers.
Part-Time Instructor, Univ. of Colorado Boulder, USA• CSCI 4622 Machine Learning (Github Repo)

Jan 2021 - May 2021

Teaching Assistant, Univ. of Colorado Boulder, USA Jan-Dec 2020, May-Jul 2021
Applied Scientist Intern, Amazon.com, Inc., USA

May 2020 - Aug 2020

Research Assistant, Univ. of Colorado Boulder, USA

Aug 2016 - Dec 2019

Applied Scientist Intern, Amazon.com, Inc., USAMay 2018 - Aug 2018

Software Dev Engineer, Amazon Japan K.K., JapanOct 2014 - Aug 2016

Software Engineer Intern, Amazon Japan K.K., Japan

Nov 2013 - Feb 2014

Part-time Engineer, Atilika, Japan
Software Engineer Intern, Cookpad, JapanPublications

Aug- Nov 2013, Apr- Sep 2014
July 2013 (one month)• Benjamin Hsu, Xiaoyu Liu, Huayang Li, Yoshinari Fujinuma, Maria Nadejde, Xing
Niu, Ron Litman, Yair Kittenplon, Raghavendra Pappagari: “M3 T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation”, NAACL (short)
2024• Yoshinari Fujinuma*, Siddharth Varia*, Nishant Sankaran, Srikar Appalaraju, Bonan Min, Yogarshi Vyas: “A Multi-Modal Multilingual Benchmark for Document
Image Classification”, EMNLP Findings (long) 2023
• Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma,
Miguel Ballesteros, Vittorio Castelli, and Dan Roth: “Comparing Biases and the Impact of Multilingual Training across Multiple Languages”, EMNLP (long) 2023

• Pietro Lesci, Yoshinari Fujinuma, Momchil Hardalov, Chao Shang, Lluis Marquez:“Diable: Efficient Dialogue State Tracking as Operations on Tables”, ACL Findings(long) 2023
• Yoshinari Fujinuma, Jordan Boyd-Graber, Katharina Kann: “Match the Script,
Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Crosslingual Transferability”, ACL (long) 2022
• Yoshinari Fujinuma, Masato Hagiwara: “Semi-Supervised Joint Estimation of Wordand Document Readability”, TextGraphs-15@NAACL (short) 2021
• Mozhi Zhang*, Yoshinari Fujinuma*, Michael J. Paul, Jordan Boyd-Graber: “WhyOverfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries”, ACL (short) 2020
• Mozhi Zhang, Yoshinari Fujinuma, Jordan Boyd-Graber: “Exploiting Cross-Lingual
Subword Similarities in Low-Resource Document Classification”, AAAI 2020
• Yoshinari Fujinuma, Jordan Boyd-Graber, Michael J. Paul: “A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings based on Graph Modularity”,
ACL (long) 2019• Dasha Pruss, Yoshinari Fujinuma, Ashlynn R. Daughton, Michael J. Paul, Brad
Arnot, Danielle Albers Szafir, Jordan Boyd-Graber: “Zika discourse in the Americas:
A multilingual topic analysis of Twitter”, PLOS ONE 2019
• Mozhi Zhang, Yoshinari Fujinuma, Jordan Boyd-Graber: “Exploiting Cross-Lingual
Subword Similarities in Low-Resource Document Classification”, Workshop on Deep
Learning Approaches for Low-Resource Natural Language Processing, 2018
• Yoshinari Fujinuma, Alvin Grissom II: “Substring Frequency Features for Segmentation of Japanese Katakana Words with Unlabeled Corpora”, IJCNLP (short) 2017
• Yoshinari Fujinuma, Hikaru Yokono, Pascual Martı́nez-Gómez, Akiko Aizawa: “Distantsupervised Language Model for Detecting Emotional Upsurge on Twitter”, PACLIC(long) 2015
*denotes equal contribution

Selected Projects Analysis on Multilingual Pretraining
2020 - 2021
• Investigating the effect of using different pretraining languages. (Paper)
Intrinsic Evaluation Measure for Cross-Lingual Embeddings
2017 - 2019
• Developed a graph-based intrinsic measure to evaluate the quality of cross-lingual
word embeddings. (Paper)
Finite State Transducer (FST) for Kuromoji
2015• Replaced a double-array trie to an FST for Kuromoji, a java-based Japanese tokenizer used in Lucene, Solr, and Elastic Search. (Github Repo)
Academic
Service

Area Chair:• 2023 ACL (Multilingualism & Cross-lingual NLP track)• 2023 EMNLP (Multilingualism & Linguistic Diversity Track)• 2023 LREC-COLING (Information Extraction, Knowledge Extraction, and TextMining Track)
Program Committee/Reviewer:• 2023 AAAI, ACL Rolling Review (Feb., Apr.), EACL, NAACL, W-NUT, NLP4HR• 2022 AAAI, ACL Rolling Review (Jan., Mar., Jun., Oct., Dec.), ACL, EMNLP,NAACL SRW, W-NUT, CoNLL• 2021 NAACL, ACL, EMNLP, ACL Rolling Review (Sept., Oct., Nov.), CoNLL,NAACL SRW, ACL SRW, W-NUT, Workshop on NLP for Indigenous Languages ofthe Americas (AmericasNLP)• 2019 Workshop on Noisy User-Generated Text (W-NUT)

Secondary Reviewer: 2019 ACL, 2017 EMNLP, 2017 WWWStudent Volunteer: 2020 ACL
AcademicHonors• Outstanding Reviewer for CoNLL
2021• Departmental Travel Grant from CU Boulder (300 USD)
2017
• Gruduate School Travel Grant from CU Boulder (500 USD)
2017
• Dean’s Fellowship from CU Boulder (1/2 of the yearly tuition and stipend) 2016
• Gruduate School Travel Grant from Univ. of Tokyo (80,000 JPY)2013
• Gödel Foundation Prize: Best Bachelor thesis in CS and Math (50,000 JPY) 2012
• Horie Takematsu and Koh Scholarship (2,000 USD)
2010
• Student Scholarship from ICU (1/3 of the yearly tuition)
2008-2012

Computer andLanguage Skills

Languages:
Libraries:
English:Domain-specific:

Proficient: Python; Intermediate: C++, Java
PyTorch, Deepspeed, MLFlow, Git, Vim, LATEXTOEFL iBT 101 (2015)
machine learning, natural language processing