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Hila Gonen
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2020 – today
- 2024
- [i26]Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke Zettlemoyer:
Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models. CoRR abs/2401.10440 (2024) - [i25]Tomasz Limisiewicz, Terra Blevins, Hila Gonen, Orevaoghene Ahia, Luke Zettlemoyer:
MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling. CoRR abs/2403.10691 (2024) - [i24]Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan, Hila Gonen, David Ifeoluwa Adelani, Daud Abolade, Noah A. Smith, Yulia Tsvetkov:
Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects. CoRR abs/2406.19564 (2024) - [i23]Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Valentin Hoffman, Tomasz Limisiewicz, Yulia Tsvetkov, Noah A. Smith:
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization. CoRR abs/2407.08818 (2024) - 2023
- [c24]Terra Blevins, Hila Gonen, Luke Zettlemoyer:
Prompting Language Models for Linguistic Structure. ACL (1) 2023: 6649-6663 - [c23]Jaechan Lee, Alisa Liu, Orevaoghene Ahia, Hila Gonen, Noah A. Smith:
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context? EMNLP (Findings) 2023: 4555-4569 - [c22]Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov:
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. EMNLP 2023: 9904-9923 - [c21]Hila Gonen, Srini Iyer, Terra Blevins, Noah A. Smith, Luke Zettlemoyer:
Demystifying Prompts in Language Models via Perplexity Estimation. EMNLP (Findings) 2023: 10136-10148 - [c20]Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer:
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? EMNLP (Findings) 2023: 10994-11005 - [c19]Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa:
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. EMNLP 2023: 13142-13152 - [c18]Orevaoghene Ahia, Hila Gonen, Vidhisha Balachandran, Yulia Tsvetkov, Noah A. Smith:
LEXPLAIN: Improving Model Explanations via Lexicon Supervision. *SEM@ACL 2023: 207-216 - [i22]Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa:
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. CoRR abs/2301.10472 (2023) - [i21]Marjan Ghazvininejad, Hila Gonen, Luke Zettlemoyer:
Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation. CoRR abs/2302.07856 (2023) - [i20]Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov:
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. CoRR abs/2305.13707 (2023) - [i19]Akari Asai, Sneha Kudugunta, Xinyan Velocity Yu
, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi:
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. CoRR abs/2305.14857 (2023) - [i18]Jaechan Lee, Alisa Liu, Orevaoghene Ahia, Hila Gonen, Noah A. Smith:
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context? CoRR abs/2310.14610 (2023) - [i17]Stephen Mayhew, Terra Blevins, Shuheng Liu, Marek Suppa, Hila Gonen, Joseph Marvin Imperial, Börje F. Karlsson
, Peiqin Lin, Nikola Ljubesic, LJ Miranda, Barbara Plank, Arij Riabi, Yuval Pinter:
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark. CoRR abs/2311.09122 (2023) - 2022
- [c17]Amir D. N. Cohen, Hila Gonen, Ori Shapira, Ran Levy
, Yoav Goldberg:
McPhraSy: Multi-Context Phrase Similarity and Clustering. EMNLP (Findings) 2022: 3538-3550 - [c16]Terra Blevins, Hila Gonen, Luke Zettlemoyer:
Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models. EMNLP 2022: 3575-3590 - [c15]Hila Gonen, Shauli Ravfogel, Yoav Goldberg:
Analyzing Gender Representation in Multilingual Models. RepL4NLP@ACL 2022: 67-77 - [i16]Hila Gonen, Shauli Ravfogel, Yoav Goldberg:
Analyzing Gender Representation in Multilingual Models. CoRR abs/2204.09168 (2022) - [i15]Terra Blevins, Hila Gonen, Luke Zettlemoyer:
Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models. CoRR abs/2205.11758 (2022) - [i14]Terra Blevins, Hila Gonen, Luke Zettlemoyer:
Prompting Language Models for Linguistic Structure. CoRR abs/2211.07830 (2022) - [i13]Hila Gonen, Srini Iyer, Terra Blevins, Noah A. Smith, Luke Zettlemoyer:
Demystifying Prompts in Language Models via Perplexity Estimation. CoRR abs/2212.04037 (2022) - [i12]Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer:
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? CoRR abs/2212.10539 (2022) - 2021
- [c14]Iftah Gamzu, Hila Gonen, Gilad Kutiel, Ran Levy
, Eugene Agichtein:
Identifying Helpful Sentences in Product Reviews. NAACL-HLT 2021: 678-691 - [i11]Iftah Gamzu, Hila Gonen, Gilad Kutiel, Ran Levy, Eugene Agichtein:
Identifying Helpful Sentences in Product Reviews. CoRR abs/2104.09792 (2021) - [i10]Hila Gonen, Ganesh Jawahar, Djamé Seddah, Yoav Goldberg:
Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora. CoRR abs/2112.14330 (2021) - 2020
- [c13]Hila Gonen, Ganesh Jawahar, Djamé Seddah, Yoav Goldberg:
Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora. ACL 2020: 538-555 - [c12]Shauli Ravfogel, Yanai Elazar, Hila Gonen, Michael Twiton, Yoav Goldberg:
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection. ACL 2020: 7237-7256 - [c11]Hila Gonen, Shauli Ravfogel, Yanai Elazar, Yoav Goldberg:
It's not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT. BlackboxNLP@EMNLP 2020: 45-56 - [c10]Ella Rabinovich, Hila Gonen, Suzanne Stevenson:
Pick a Fight or Bite your Tongue: Investigation of Gender Differences in Idiomatic Language Usage. COLING 2020: 5181-5192 - [c9]Hila Gonen, Kellie Webster:
Automatically Identifying Gender Issues in Machine Translation using Perturbations. EMNLP (Findings) 2020: 1991-1995 - [i9]Shauli Ravfogel
, Yanai Elazar, Hila Gonen, Michael Twiton, Yoav Goldberg:
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection. CoRR abs/2004.07667 (2020) - [i8]Hila Gonen, Kellie Webster:
Automatically Identifying Gender Issues in Machine Translation using Perturbations. CoRR abs/2004.14065 (2020) - [i7]Hila Gonen, Shauli Ravfogel, Yanai Elazar, Yoav Goldberg:
It's not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT. CoRR abs/2010.08275 (2020) - [i6]Ella Rabinovich, Hila Gonen, Suzanne Stevenson:
Pick a Fight or Bite your Tongue: Investigation of Gender Differences in Idiomatic Language Usage. CoRR abs/2011.00335 (2020)
2010 – 2019
- 2019
- [c8]Hila Gonen, Yoav Goldberg:
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them. WNLP@ACL 2019: 60-63 - [c7]Hila Gonen, Yova Kementchedjhieva, Yoav Goldberg:
How does Grammatical Gender Affect Noun Representations in Gender-Marking Languages? WNLP@ACL 2019: 64-67 - [c6]Hila Gonen, Yova Kementchedjhieva, Yoav Goldberg:
How Does Grammatical Gender Affect Noun Representations in Gender-Marking Languages? CoNLL 2019: 463-471 - [c5]Hila Gonen, Yoav Goldberg:
Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training. EMNLP/IJCNLP (1) 2019: 4173-4183 - [c4]Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell, Simone Teufel:
It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution. EMNLP/IJCNLP (1) 2019: 5266-5274 - [c3]Hila Gonen, Yoav Goldberg:
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them. NAACL-HLT (1) 2019: 609-614 - [i5]Hila Gonen, Yoav Goldberg:
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them. CoRR abs/1903.03862 (2019) - [i4]Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell, Simone Teufel:
It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution. CoRR abs/1909.00871 (2019) - [i3]Hila Gonen, Yova Kementchedjhieva, Yoav Goldberg:
How does Grammatical Gender Affect Noun Representations in Gender-Marking Languages? CoRR abs/1910.14161 (2019) - 2018
- [i2]Hila Gonen, Yoav Goldberg:
Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training. CoRR abs/1810.11895 (2018) - 2016
- [c2]Hila Gonen, Yoav Goldberg:
Semi Supervised Preposition-Sense Disambiguation using Multilingual Data. COLING 2016: 2718-2729 - [i1]Hila Gonen, Yoav Goldberg:
Semi Supervised Preposition-Sense Disambiguation using Multilingual Data. CoRR abs/1611.08813 (2016) - 2015
- [c1]Hila Gonen, Orna Kupferman:
Inherent Vacuity in Lattice Automata. Fields of Logic and Computation II 2015: 174-192
Coauthor Index
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last updated on 2024-08-16 18:30 CEST by the dblp team
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