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Yuta Koreeda

4 accepted papers

2026

Building Domain-Specific Small Language Models via Guided Data Generation

AAAI 2026technical

Large Language Models (LLMs) have shown remarkable success in supporting a wide range of knowledge-intensive tasks. In specialized domains, there is growing interest in leveraging LLMs to assist subject matter experts with domain-specific challenges. However, deploying LLMs as SaaS solutions raises

Cited by 0SourcePDFScholar
2025

Acquiring Bidirectionality via Large and Small Language Models

COLING 2025main

Using token representation from bidirectional language models (LMs) such as BERT is still a widely used approach for token-classification tasks. Even though there exist much larger unidirectional LMs such as Llama-2, they are rarely used to replace the token representation of bidirectional LMs. In t…

2024

CHICOT: A Developer-Assistance Toolkit for Code Search with High-Level Contextual Information

AAAI 2024technical

We propose a source code search system named CHICOT (Code search with HIgh level COnText) to assist developers in reusing existing code. While previous studies have examined code search on the basis of code-level, fine-grained specifications such as functionality, logic, or implementation, CHICOT ad…

Cited by 0SourcePDFScholar
2021

ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts

EMNLP 2021finding

Reviewing contracts is a time-consuming procedure that incurs large expenses to companies and social inequality to those who cannot afford it. In this work, we propose “document-level natural language inference (NLI) for contracts”, a novel, real-world application of NLI that addresses such problems…