Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model

Emre Can Acikgoz, Jeremiah Greer, Akul Datta, Ze Yang, William Zeng, Oussama Elachqar, Emmanouil Koukoumidis, Dilek Hakkani-Tür, Gokhan Tur. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Authors

Jeremiah Greer
Oussama Elachqar
Emre Can Acikgoz
Emmanouil Koukoumidis
Avijit Datta (ORCID: https://orcid.org/0000-0002-5952-2845)
Gökhan Tür
Ze Yang (ORCID: https://orcid.org/0000-0001-7556-2954)
Dilek Hakkani-Tür
William Zeng

Publication Details

Published: 2025-01-01
DOI: https://doi.org/10.18653/v1/2025.acl-long.605
Citations: 1
Primary Topic: Natural Language Processing Techniques
Type: article
Field-Weighted Citation Impact: 2.48

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article

Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model

Jeremiah Greer, Oussama Elachqar, Emre Can Acikgoz, Emmanouil Koukoumidis et al.

Jan 1, 2025

1 citations

Natural Language Processing Techniques

2.48

article

Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model

Jeremiah Greer, Oussama Elachqar, Emre Can Acikgoz, Emmanouil Koukoumidis, Avijit Datta, Gökhan Tür, Ze Yang, Dilek Hakkani-Tür, William Zeng

January 1, 2025article en

1 citations

Abstract

Quality Education

Openalex Percentile: Top 9%

Natural Language Processing Techniques

2.48

DOI Open Access PDF OpenAlex

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Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model — Jeremiah Greer, Oussama Elachqar, et al. · (2025) | TGRS Research Map | TGRS