Acl 2025 Workshop. Acl 2025 Report Jared A. Rickey Specifically, we will explore two main directions: LLM for Structure Modeling (LLM4X) and Structure Modeling for LLM (X4LLM). Feb 18, 2025: The list of ACL tutorials is out: Feb 18, 2025: The list of ACL workshops is out: Jan 26, 2025: Call for System Demonstrations is out: Jan 20, 2025: Second call for papers is out: Dec 3, 2024: Call for Industry Track is out: Oct 7, 2024: First call for papers is out: Sep 12, 2024: The ACL-NAACL-EMNLP joint call for tutorials is out
Acl Tickets 2025 Official Website Charles Keenum from charlesrkeenum.pages.dev
The workshop provides an excellent opportunity for participants to present their work and to receive mentorship and valuable feedback from the international research community. Specifically, we will explore two main directions: LLM for Structure Modeling (LLM4X) and Structure Modeling for LLM (X4LLM).
Acl Tickets 2025 Official Website Charles Keenum
The conference will take place from July 27th to August 1st, 2025 Thus, this 1st Joint Workshop on Large Language Models and Structure Modeling (XLLM 2025) at ACL 2025 aims to encourage discussions and highlight methods for language structure modeling in the era of LLMs This workshop builds on the success of prior workshops: the SDP workshop held at ACL in 2024, COLING in 2022, NAACL in 2021 and
Acl Conference 2025 Elmira Michaeline. Specifically, we will explore two main directions: LLM for Structure Modeling (LLM4X) and Structure Modeling for LLM (X4LLM). If accepted, can a paper be published in the proceedings, even if it the student cannot take part at the workshop? A: The ACL organizing team will attempt to provide travel grants to authors of all.
ACLPro Plenary Spotlight Association of Christian Librarians. The 1st Joint Workshop on Large Language Models and Structure Modeling (XLLM 2025) 2025 @ ACL 2025 31 July-1 August 2025 - Vienna, Austria The Workshop on Argument Mining provides a regular forum for presenting and discussing cutting-edge research in argument mining (a.k.a argumentation mining) for academic and industry researchers.