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Amir H. Rezaeian

Amir H. Rezaeian has 2 papers in our library, in 2026, most of them on Reasoning, Language models & pretraining; often with Miguel Ballesteros, Dan Roth, Jyotika Singh.

2 papers in our library · 2026

OpenAlex · h-index 29 · 89 works · 3,311 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 3 times in our library · ⭐ Paper Stars ranking: #12182

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Universidad Técnica Federico Santa MaríaValparaíso · Chile2007–2018 · 52 papers🎓Centro Científico Tecnológico de ValparaísoValparaíso · Chile2013–2018 · 23 papers🎓University of ManchesterManchester · United Kingdom2002–2004 · 5 papers🎓Heidelberg UniversityHeidelberg · Germany2006–2007 · 4 papers🎓University of RegensburgRegensburg · Germany2009–2010 · 3 papers🎓Universidade de Santiago de CompostelaSantiago de Compostela · Spain2014 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and Bandwidth (2026 · 3 citations)
    The survey asks why transformer models, despite strong results in language and vision, remain unreliable at exact symbolic work such as arithmetic, Boolean logic, parsing, and multi-step algorithmic composition.
  2. Budget-Aware Anytime Reasoning with LLM-Synthesized Preference Data (2026)
    The paper looks at how LLMs behave when reasoning is cut short by a fixed token or latency budget. In such cases, a usable partial answer delivered early can be worth more than a complete answer that arrives too late. The authors build an evaluation pipeline that works in three steps. First, it samples…

 Co-authors here

10 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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