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Yoshinari Fujinuma
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2020 – today
- 2025
[i10]Yoshinari Fujinuma:
Contrastive Decoding Mitigates Score Range Bias in LLM-as-a-Judge. CoRR abs/2510.18196 (2025)- 2024
[c10]Benjamin Hsu, Xiaoyu Liu, Huayang Li, Yoshinari Fujinuma, Maria Nadejde, Xing Niu, Ron Litman, Yair Kittenplon, Raghavendra Reddy Pappagari:
M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation. NAACL (Short Papers) 2024: 499-507
[i9]Benjamin Hsu, Xiaoyu Liu, Huayang Li, Yoshinari Fujinuma, Maria Nadejde, Xing Niu, Yair Kittenplon, Ron Litman, Raghavendra Reddy Pappagari:
M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation. CoRR abs/2406.08255 (2024)- 2023
[c9]Pietro Lesci, Yoshinari Fujinuma, Momchil Hardalov, Chao Shang, Lluís Màrquez:
Diable: Efficient Dialogue State Tracking as Operations on Tables. ACL (Findings) 2023: 9697-9719
[c8]Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth:
Comparing Biases and the Impact of Multilingual Training across Multiple Languages. EMNLP 2023: 10260-10280
[c7]Yoshinari Fujinuma, Siddharth Varia, Nishant Sankaran, Srikar Appalaraju, Bonan Min, Yogarshi Vyas:
A Multi-Modal Multilingual Benchmark for Document Image Classification. EMNLP (Findings) 2023: 14361-14376
[i8]Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth:
Comparing Biases and the Impact of Multilingual Training across Multiple Languages. CoRR abs/2305.11242 (2023)
[i7]Pietro Lesci, Yoshinari Fujinuma, Momchil Hardalov, Chao Shang, Lluís Màrquez:
Diable: Efficient Dialogue State Tracking as Operations on Tables. CoRR abs/2305.17020 (2023)
[i6]Yoshinari Fujinuma, Siddharth Varia, Nishant Sankaran, Srikar Appalaraju, Bonan Min, Yogarshi Vyas:
A Multi-Modal Multilingual Benchmark for Document Image Classification. CoRR abs/2310.16356 (2023)- 2022
[c6]Yoshinari Fujinuma, Jordan L. Boyd-Graber, Katharina Kann:
Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability. ACL (1) 2022: 1500-1512
[i5]Yoshinari Fujinuma, Jordan L. Boyd-Graber, Katharina Kann:
Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability. CoRR abs/2203.10753 (2022)- 2021
[i4]Yoshinari Fujinuma, Masato Hagiwara:
Semi-Supervised Joint Estimation of Word and Document Readability. CoRR abs/2104.13103 (2021)- 2020
[c5]Mozhi Zhang, Yoshinari Fujinuma, Jordan L. Boyd-Graber:
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification. AAAI 2020: 9547-9554
[c4]Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber:
Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries. ACL 2020: 2214-2220
[i3]Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber:
Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries. CoRR abs/2005.00524 (2020)
2010 – 2019
- 2019
[c3]Yoshinari Fujinuma, Jordan L. Boyd-Graber, Michael J. Paul:
A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity. ACL (1) 2019: 4952-4962
[i2]Yoshinari Fujinuma, Jordan L. Boyd-Graber, Michael J. Paul:
A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity. CoRR abs/1906.01926 (2019)- 2018
[i1]Mozhi Zhang, Yoshinari Fujinuma, Jordan L. Boyd-Graber:
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification. CoRR abs/1812.09617 (2018)- 2017
[c2]Yoshinari Fujinuma, Alvin Grissom II:
Substring Frequency Features for Segmentation of Japanese Katakana Words with Unlabeled Corpora. IJCNLP(2) 2017: 74-79- 2015
[c1]Yoshinari Fujinuma, Hikaru Yokono, Pascual Martínez-Gómez, Akiko Aizawa:
Distant-supervised Language Model for Detecting Emotional Upsurge on Twitter. PACLIC 2015
Coauthor Index

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