conftrace_

Masahiro Kaneko

57 papers · 2017–2026 · 9 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+14 more ↓ πŸƒ Academic Marathon (8) 🌍 Conference Polyglot (9) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (80) πŸŒ‰ Interdisciplinary Bridge πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ‘₯ Mega-Team (26) πŸ† Keyword Champion (14) 🀝 Dynamic Duo (19) πŸ—ƒοΈ Keyword Collector (200) ❓ The Questioner ⚑ Prolific Year (10) πŸš€ Conference Pioneer πŸ’Ž Century Club (53) πŸ”₯ Unstoppable (9)

Conferences

ACL (15) COLING (10) EMNLP (10) NAACL (6) EACL (5) AACL (4) AAAI (3) IJCNLP (3) IJCAI (1)

Research topics

Papers

On the Alignment of Large Language Models with Global Human Opinion AAAI 2026 A Multilingual Social Bias Benchmark Incorporating Thinking Processes ACL 2026 Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI ACL 2026 Disentangling the Effects of Unlearning in Measuring Parametric Faithfulness of Chain-of-Thought ACL 2026 The Gaps between Fine Tuning and In-context Learning in Bias Evaluation and Debiasing COLING 2025 GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human COLING 2025 Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization AACL 2025 Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization IJCNLP 2025 An Ethical Dataset from Real-World Interactions Between Users and Large Language Models IJCAI 2025 Social Bias Evaluation for Large Language Models Requires Prompt Variations EMNLP 2025 Sampling-based Pseudo-Likelihood for Membership Inference Attacks ACL 2025 Rectifying Belief Space via Unlearning to Harness LLMs’ Reasoning ACL 2025 Investigating How Pre-training Data Leakage Affects Models’ Reproduction and Detection Capabilities EMNLP 2025 Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models EMNLP 2025 Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach EACL 2024 Likelihood-based Mitigation of Evaluation Bias in Large Language Models ACL 2024 In-Contextual Gender Bias Suppression for Large Language Models EACL 2024 Controlled Generation with Prompt Insertion for Natural Language Explanations in Grammatical Error Correction COLING 2024 Evaluating Gender Bias of Pre-trained Language Models in Natural Language Inference by Considering All Labels COLING 2024 How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection EMNLP 2024 OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples AAAI 2024 The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated IJCNLP 2023 The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated AACL 2023 Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods ACL 2023 Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples EACL 2023 Reducing Sequence Length by Predicting Edit Spans with Large Language Models EMNLP 2023 Unmasking the Mask – Evaluating Social Biases in Masked Language Models AAAI 2022 Sense Embeddings are also Biased – Evaluating Social Biases in Static and Contextualised Sense Embeddings ACL 2022 Interpretability for Language Learners Using Example-Based Grammatical Error Correction ACL 2022 Debiasing Isn’t Enough! – on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks COLING 2022 IMPARA: Impact-Based Metric for GEC Using Parallel Data COLING 2022 Gender Bias in Meta-Embeddings EMNLP 2022 NAIST-NICT-TIT WMT22 General MT Task Submission EMNLP 2022 Gender Bias in Masked Language Models for Multiple Languages NAACL 2022 ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization NAACL 2022 Dictionary-based Debiasing of Pre-trained Word Embeddings EACL 2021 Debiasing Pre-trained Contextualised Embeddings EACL 2021 Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation NAACL 2021 Comparison of Grammatical Error Correction Using Back-Translation Models NAACL 2021 Autoencoding Improves Pre-trained Word Embeddings COLING 2020 English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs ACL 2020 Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction ACL 2020 Towards Multimodal Simultaneous Neural Machine Translation EMNLP 2020 SOME: Reference-less Sub-Metrics Optimized for Manual Evaluations of Grammatical Error Correction COLING 2020 Cross-lingual Transfer Learning for Grammatical Error Correction COLING 2020 Generating Diverse Corrections with Local Beam Search for Grammatical Error Correction COLING 2020 TMU Japanese-English Multimodal Machine Translation System for WAT 2020 AACL 2020 Translation of New Named Entities from English to Chinese AACL 2020 A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction EMNLP 2020 Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models β€” Is Single-Corpus Evaluation Enough? NAACL 2019 TMU Transformer System Using BERT for Re-ranking at BEA 2019 Grammatical Error Correction on Restricted Track ACL 2019 Grammatical-Error-Aware Incorrect Example Retrieval System for Learners of Japanese as a Second Language ACL 2019 Controlling Grammatical Error Correction Using Word Edit Rate ACL 2019 Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019 EMNLP 2019 Gender-preserving Debiasing for Pre-trained Word Embeddings ACL 2019 TMU System for SLAM-2018 NAACL 2018 Grammatical Error Detection Using Error- and Grammaticality-Specific Word Embeddings IJCNLP 2017