Tatsuki Kuribayashi

Orcid: 0000-0001-7762-5576

According to our database1, Tatsuki Kuribayashi authored at least 50 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
What Kind of Language is Easy to Language-Model Under Curriculum Learning?
CoRR, April, 2026

Can Language Models Learn Typologically Implausible Languages?
Trans. Assoc. Comput. Linguistics, 2026

LLMs Faithfully and Iteratively Compute Answers During CoT: A Systematic Analysis With Multi-step Arithmetics.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via Surprisal.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

On the Effect of Hyperparameters in Language Modeling for Computational Linguistics.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Dual Alignment Between Language Model Layers and Human Sentence Processing.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Multilingual Idioms in Sentences and Conversations Across High-, Medium-, and Low-Resource Languages.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Syntactic Learnability of Echo State Neural Language Models at Scale.
CoRR, March, 2025

On Representational Dissociation of Language and Arithmetic in Large Language Models.
CoRR, February, 2025

Large Language Models Are Human-Like Internally.
Trans. Assoc. Comput. Linguistics, 2025

Transformer Key-Value Memories Are Nearly as Interpretable as Sparse Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Which Word Orders Facilitate Length Generalization in LMs? An Investigation with GCG-Based Artificial Languages.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Does Vision Accelerate Hierarchical Generalization in Neural Language Learners?
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Can Input Attributions Explain Inductive Reasoning in In-Context Learning?
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Event Report on The 13th edition of the Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2024).
J. Nat. Lang. Process., 2024

Memoir: Emergent Word Order Universals from Cognitively-Motivated Language Models.
J. Nat. Lang. Process., 2024

Can Input Attributions Interpret the Inductive Reasoning Process Elicited in In-Context Learning?
CoRR, 2024

Think-to-Talk or Talk-to-Think? When LLMs Come Up with an Answer in Multi-Step Reasoning.
CoRR, 2024

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark.
CoRR, 2024

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Psychometric Predictive Power of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Emergent Word Order Universals from Cognitively-Motivated Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Does Vision Accelerate Hierarchical Generalization of Neural Language Learners?
CoRR, 2023

Feed-Forward Blocks Control Contextualization in Masked Language Models.
CoRR, 2023

Use of an AI-powered Rewriting Support Software in Context with Other Tools: A Study of Non-Native English Speakers.
Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Empirical Investigation of Neural Symbolic Reasoning Strategies.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Second Language Acquisition of Neural Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Transformer Language Models Handle Word Frequency in Prediction Head.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Context Limitations Make Neural Language Models More Human-Like.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Topicalization in Language Models: A Case Study on Japanese.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Instance-Based Neural Dependency Parsing.
Trans. Assoc. Comput. Linguistics, 2021

Incorporating Residual and Normalization Layers into Analysis of Masked Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Lower Perplexity is Not Always Human-Like.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Attention Module is Not Only a Weight: Analyzing Transformers with Vector Norms.
CoRR, 2020

Attention is Not Only a Weight: Analyzing Transformers with Vector Norms.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Langsmith: An Interactive Academic Text Revision System.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Modeling Event Salience in Narratives via Barthes' Cardinal Functions.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

TEASPN: Framework and Protocol for Integrated Writing Assistance Environments.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

An Empirical Study of Span Representations in Argumentation Structure Parsing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates.
Proceedings of the 5th Workshop on Argument Mining, 2018


  Loading...