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Learning and Enforcing Context-Sensitive Control for LLMs

Year: 2025

Type: conference-paper

Abstract: Mohammad Albinhassan, Pranava Madhyastha, Mark Law, Alessandra Russo. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop). 2025.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2025.acl-srw.59

Authors: Mohammad Albinhassan, Pranava Madhyastha, Mark Law, Alessandra Russo

Institutions: Imperial College London, City, University of London, The Alan Turing Institute, City St George's, University of London

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Microsoft Research, Alan Turing Institute, Engineering and Physical Sciences Research Council, U.S. Army Combat Capabilities Development Command

Award: CHEDDAR: Communications Hub for Empowering Distributed clouD computing Applications and Research - TMF uplift

OpenAlex ID: W4412889449

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