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Workshop on Argument Mining 2026 — accepted papers

Workshop on Argument Mining 2026 is the 2026 edition of the Workshop on Argument Mining, held in San Diego, California, USA, July 2026 (publisher: Association for Computational Linguistics). The ACL Anthology lists 17 papers of it; our library holds 6 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 San Diego, California, United States · 🗓 July 2026

All accepted papers (17)

The most cited first; 6 with our summary link to their page here, the others to the original.

  1. AMResources: Cataloging Argument Mining Datasets ↗Dexter Williams, Shiwei Liu, Manfred Stede et al.
  2. Argument-Based Comparative Question Answering Evaluation BenchmarkIrina Nikishina, Saba Anwar, Nikolay Dolgov et al.our summary
  3. Beyond Logical Forms: LLM-Extracted Patterns for Fallacy ClassificationEleni Papadopulos, Firoj Alam, Giovanni Da San Martinoour summary
  4. Illustrating Arguments with Images Using Aspect-Aware Prompting ↗Maximilian Heinrich, Sharat Anand, Johannes Kiesel et al.
  5. Overview of the UZH Shared Task 2026 on Reconstructing the Reasoning in United Nations ResolutionsAnastassia Shaitarova, Yingqiang Gao, Fatma-Zohra Rezkellah et al.our summary
  6. STCOR: A Trilevel Syllogism-Driven Reasoning Framework ↗Keying Yang, Hao Wang, Chengtao Jian et al.

 Papers with our summary in our library (6)

The most cited first (OpenAlex citations plus our library's).

 Top topics

Topics of its works in our library, with the number of works on each.

Reasoning (3)Evaluation & benchmarks (2)Language models & pretraining (1)Question answering (1)Information retrieval & search (1)Semantic parsing & meaning representation (1)

 Fields

Arts and Humanities (6)Computer Science (6)Social Sciences (5)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

 Top institutions

Institutions on the bylines of its works here, by the number of works.

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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