🧑‍🔬 Hanan Salam

🏛️ Affiliations

🎓New York University Abu DhabiAbu Dhabi · United Arab Emirates2021–2026 · 45 paperscurrent🎓New York UniversityNew York · United States2021–2026 · 18 paperscurrent🏛️Program Support CenterBethesda · United States2026 · 1 papercurrent🔬Institut d'Électronique et des Technologies du numéRiqueRennes · France2011–2013 · 9 papers🎓SupélecGif-sur-Yvette · France2011–2013 · 8 papers🎓Université Pierre-et-Marie-CurieParis · France2014–2018 · 7 papersEmployment 2014–2015 · Research associateEmployment 2015–2016 · Lecturer and Research assistant🔬Institut Systèmes Intelligents et de RobotiqueParis · France2012–2016 · 7 papers🔬Centre National de la Recherche ScientifiqueParis · France2012–2015 · 2 papers

🏛️Supelec Campus de RennesCesson-Sevigne · France2010–2013Education 2010–2013 · Phd

🏛️Lebanese University School of EngineeringBeyrouth · Lebanon2006–2010Education 2006–2010

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

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

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Decompose-ToM: Enhancing Theory of Mind Reasoning in Large Language Models through Simulation and Task Decomposition (2025 · 10 citations)
   Large language models still struggle with Theory of Mind (ToM) reasoning, especially higher-order questions (beliefs about other agents' beliefs) and dialogue scenarios where participants join and leave.
2. Can Small LLMs Learn a Robust Theory of Mind via RLVR? Investigating Generalization through the False-Belief Task (2026)
   The paper asks whether reinforcement learning with verifiable rewards (RLVR), which has improved mathematical and logical reasoning, can give small LLMs a general Theory of Mind (ToM) rather than benchmark-specific skill.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Decompose-ToM: Enhancing Theory of Mind Reasoning in Large Language Models through Simulation and Task DecompositionInternational Conference on Computational Linguistics (COLING)Sneheel Sarangi, Maha Elgarf, Hanan Salam2025 · 10 citations
2. Can Small LLMs Learn a Robust Theory of Mind via RLVR? Investigating Generalization through the False-Belief TaskFindings of the Association for Computational LinguisticsSneheel Sarangi, Hanan Salam2026
3. CCD-Bench: Probing Cultural Conflict in Large Language Model Decision-Making ↗arXiv:2510.03553 · no summary yetHasibur Rahman, Hanan Salam2025

🤝 Co-authors here

1 co-author with a page, the most papers together first.

• Sneheel Sarangi ×2

Venues

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

• International Conference on Computational Linguistics (COLING): COLING 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026

🔗 Cited by

Papers of our library cite their works 9 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated 1 November 2026

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