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Masahiro Kaneko

fairness

grammatical error correction

social bias

evaluation

word embeddings

interpretability

language model

machine learning

masked language model

instruction

efficiency

knn

reranking

meta-embedding

sense embeddings

12

presentations

12

number of views

SHORT BIO

I am a postdoctoral researcher at Tokyo Institute of Technology.

Presentations

Reducing Sequence Length by Predicting Edit Spans with Large Language Models

Masahiro Kaneko and 1 other author

The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated

Masahiro Kaneko and 2 other authors

Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods

Mengsay Loem and 3 other authors

Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples

Masahiro Kaneko and 2 other authors

NAIST-NICT-TIT WMT22 General MT Task Submission

Hiroyuki Deguchi and 7 other authors

IMPARA: Impact-Based Metric for GEC Using Parallel Data

Koki Maeda and 2 other authors

Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks

Masahiro Kaneko and 2 other authors

ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization

Mengsay Loem and 3 other authors

Sense Embeddings are also Biased -- Evaluating Social Biases in Static and Contextualised Sense Embeddings

Yi Zhou and 2 other authors

Interpretability for Language Learners Using Example-Based Grammatical Error Correction

Masahiro Kaneko and 3 other authors

Unmasking the Mask – Evaluating Social Biases in Masked Language Models

Masahiro Kaneko and 1 other author

Gender Bias in Meta-Embeddings

Masahiro Kaneko and 2 other authors

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