---
title: "CMCL 2026 — accepted papers — Elamur Research"
description: "CMCL 2026 — accepted papers: 16 papers in the Elamur Research library (Palma, Mallorca (Spain)), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/cmcl/2026/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/cmcl/2026/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [CMCL](https://md.research.elamur.ai/free/en/venues/cmcl/) / 2026

# CMCL 2026 — accepted papers

CMCL 2026 is the 2026 edition of the Workshop on Cognitive Modeling and Computational Linguistics (CMCL), held in Palma, Mallorca (Spain), May 2026 (publisher: European Language Resources Association (ELRA)). The ACL Anthology lists 26 papers of it; our library holds 16 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Palma, Mallorca (Spain) · 🗓 May 2026

[**26** papers in the proceedings](#all) · [**16** works in our library](https://md.research.elamur.ai/free/en/venues/cmcl/2026/#works) · [**2** citations of these works](https://md.research.elamur.ai/free/en/venues/cmcl/2026/#works)

## All accepted papers (26)

The most cited first; 16 with our summary link to their page here, the others to the original.

1. **[Aggregated Transformer Attention Measures Predict Reading Times Beyond Surprisal](https://md.research.elamur.ai/free/en/papers/mielczarek-2026-aggregated-transformer-attention-measures-predict/)**Lukas Mielczarek, Laura Kallmeyer*our summary*
2. **[Benchmarking Source-Sensitive Reasoning in Turkish: Humans and LLMs under Evidential Trust Manipulation ↗](https://aclanthology.org/2026.cmcl-1.25/)**Sercan Karakas, Yusuf Şimşek
3. **[Brain-to-Text Decoding with Brain Atlases and Brain Foundation Models ↗](https://aclanthology.org/2026.cmcl-1.11/)**Haruka Akama, Ryo Yoshida, Max Müller-Eberstein et al.
4. **[Can LLMs Simulate Human Behavioral Variability? A Case Study in the Phonemic Fluency Task](https://md.research.elamur.ai/free/en/papers/qiu-2026-can-llms-simulate-human-behavioral/)**Mengyang Qiu, Zoe Brisebois, Siena Sun*our summary*
5. **[Causal Inferences Are Driven by Noun Concept Specificity Evidence from Self-Paced Reading and Large Language Model Surprisal](https://md.research.elamur.ai/free/en/papers/schlotterbeck-2026-causal-inferences-are-driven-noun/)**Fabian Schlotterbeck, Raphael Barth*our summary*
6. **[Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like Humans](https://md.research.elamur.ai/free/en/papers/ramarao-2026-character-aware-transformers-learn-irregular/)**Akhilesh Kakolu Ramarao, Kevin Tang, Dinah Baer-Henney*our summary*
7. **[ChineseDevBench: A Chinese Developmental Benchmark for Language Development](https://md.research.elamur.ai/free/en/papers/wang-2026-chinesedevbench-chinese-developmental-benchmark-language/)**Shaonan Wang, Yiwen Wu, Na Li et al.*our summary*
8. **[Comparing Transformer Model Interpretability with Human Cognition: A Dual Analysis of Attention and Attribution ↗](https://aclanthology.org/2026.cmcl-1.8/)**Lingchen Kong, Jinnie Shin, Pavlo Antonenko
9. **[Correlating Language Model Surprisal With Cloze and Plausibility: Getting the Best of Both Measures ↗](https://aclanthology.org/2026.cmcl-1.9/)**Kate Rebecca Belcher, Matthew Crocker
10. **[Disentanglement and Compositionality of Letter Identity and Letter Position in Variational Auto-Encoder Vision Models ↗](https://aclanthology.org/2026.cmcl-1.23/)**Bruno Bianchi, Aakash Agrawal, Stanislas Dehaene et al.
11. **[Examining Algebraic Recombination for Compositional Generalisation](https://md.research.elamur.ai/free/en/papers/ruiz-2026-examining-algebraic-recombination-compositional-generalisation/)**Joaquin Cardona Ruiz, Antske Fokkens, Lucia Donatelli*our summary*
12. **[Floating or Suggesting Ideas? A Large-Scale Contrastive Analysis of Metaphorical and Literal Verb–Object Constructions](https://md.research.elamur.ai/free/en/papers/piccirilli-2026-floating-or-suggesting-ideas-large/)**Prisca Piccirilli, Alexander Fraser, Sabine Schulte im Walde*our summary*
13. **[Headlines You Won't Forget: Can Pronoun Insertion Increase Memorability?](https://md.research.elamur.ai/free/en/papers/meyer-2026-headlines-you-won-t-forget/)**Selina Meyer, Magdalena Abel, Michael Roth*our summary*
14. **[Is Cross-Lingual Transfer in Bilingual Models Human-Like? A Study with Overlapping Word Forms in Dutch and English](https://md.research.elamur.ai/free/en/papers/skrjanec-2026-is-cross-lingual-transfer-bilingual/)**Iza Škrjanec, Irene Elisabeth Winther, Vera Demberg et al.*our summary*
15. **[Modeling semantic association in self-paced reading with language model embeddings](https://md.research.elamur.ai/free/en/papers/ostergaard-2026-modeling-semantic-association-self-paced/)**Sara Møller Østergaard, Kenneth Enevoldsen, Afra Alishahi et al.*our summary*
16. **[Plausibility as Commonsense Reasoning: Humans Succeed, Large Language Models Do not ↗](https://aclanthology.org/2026.cmcl-1.24/)**Sercan Karakas
17. **[Predicting Sentence Acceptability Judgments in Multimodal Contexts ↗](https://aclanthology.org/2026.cmcl-1.3/)**Hyewon Jang, Nikolai Ilinykh, Sharid Loaiciga et al.
18. **[Social Meaning in Large Language Models: Structure, Magnitude, and Pragmatic Prompting ↗](https://aclanthology.org/2026.cmcl-1.13/)**Roland Mühlenbernd
19. **[Teaching LLMs to unveil tendentious implicit contents of Italian political communication](https://md.research.elamur.ai/free/en/papers/paci-2026-teaching-llms-unveil-tendentious-implicit/)**Walter Paci, Lorenzo Gregori, Alessandro Panunzi*our summary*
20. **[ToM in LLM is not ToM, but a Pragmatic Effect ↗](https://aclanthology.org/2026.cmcl-1.4/)**Agnese Lombardi, Alessandro Lenci
21. **[Topic-context Dependency on Continuous Semantic Reconstruction of Language from fMRI Signals](https://md.research.elamur.ai/free/en/papers/travi-2026-topic-context-dependency-continuous-semantic/)**Fermin Travi, Agustin Delmagro, Diego Fernandez Slezak et al.*our summary*
22. **[Toward Cognitive Alignment in Large Language Models: Integrating Linguistic Theory and Human Data](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-cognitive-alignment-large-language-models/)**Wajdi Zaghouani*our summary*
23. **[Transformer Attention as a Unified Model of Encoding and Retrieval in Human Sentence Processing](https://md.research.elamur.ai/free/en/papers/parker-2026-transformer-attention-as-unified-model/)**Dan Parker*our summary*
24. **[Translation from the Information Bottleneck Perspective: an Efficiency Analysis of Spatial Prepositions in Bitexts](https://md.research.elamur.ai/free/en/papers/taroni-2026-translation-information-bottleneck-perspective-efficiency/)**Antoine Taroni, Ludovic Moncla, Frederique Laforest*our summary*
25. **[What Kind of Language is Easy to Language-Model Under Curriculum Learning?](https://md.research.elamur.ai/free/en/papers/naggar-2026-what-kind-language-is-easy/)**Nadine El-Naggar, Tatsuki Kuribayashi, Ted Briscoe*our summary*

[See all 26 papers in CMCL 2026 — accepted papers →](https://md.research.elamur.ai/free/en/venues/cmcl/2026/papers/)

## Papers with our summary in our library (16)

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

1. **[Can LLMs Simulate Human Behavioral Variability? A Case Study in the Phonemic Fluency Task](https://md.research.elamur.ai/free/en/papers/qiu-2026-can-llms-simulate-human-behavioral/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Mengyang Qiu, Zoe Brisebois, Siena Sun*2026 · 2 citations*
2. **[Headlines You Won't Forget: Can Pronoun Insertion Increase Memorability?](https://md.research.elamur.ai/free/en/papers/meyer-2026-headlines-you-won-t-forget/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Selina Meyer, Magdalena Abel, Michael Roth*2026*
3. **[Aggregated Transformer Attention Measures Predict Reading Times Beyond Surprisal](https://md.research.elamur.ai/free/en/papers/mielczarek-2026-aggregated-transformer-attention-measures-predict/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Lukas Mielczarek, Laura Kallmeyer*2026*
4. **[What Kind of Language is Easy to Language-Model Under Curriculum Learning?](https://md.research.elamur.ai/free/en/papers/naggar-2026-what-kind-language-is-easy/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Nadine El-Naggar, Tatsuki Kuribayashi, Ted Briscoe*2026*
5. **[Modeling semantic association in self-paced reading with language model embeddings](https://md.research.elamur.ai/free/en/papers/ostergaard-2026-modeling-semantic-association-self-paced/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Sara Møller Østergaard, Kenneth Enevoldsen, Afra Alishahi, et al.*2026*
6. **[Teaching LLMs to unveil tendentious implicit contents of Italian political communication](https://md.research.elamur.ai/free/en/papers/paci-2026-teaching-llms-unveil-tendentious-implicit/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Walter Paci, Lorenzo Gregori, Alessandro Panunzi*2026*
7. **[Transformer Attention as a Unified Model of Encoding and Retrieval in Human Sentence Processing](https://md.research.elamur.ai/free/en/papers/parker-2026-transformer-attention-as-unified-model/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Dan Parker*2026*
8. **[Floating or Suggesting Ideas? A Large-Scale Contrastive Analysis of Metaphorical and Literal Verb–Object Constructions](https://md.research.elamur.ai/free/en/papers/piccirilli-2026-floating-or-suggesting-ideas-large/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Prisca Piccirilli, Alexander Fraser, Sabine Schulte im Walde*2026*
9. **[Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like Humans](https://md.research.elamur.ai/free/en/papers/ramarao-2026-character-aware-transformers-learn-irregular/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Akhilesh Kakolu Ramarao, Kevin Tang, Dinah Baer-Henney*2026*
10. **[Examining Algebraic Recombination for Compositional Generalisation](https://md.research.elamur.ai/free/en/papers/ruiz-2026-examining-algebraic-recombination-compositional-generalisation/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Joaquin Cardona Ruiz, Antske Fokkens, Lucia Donatelli*2026*
11. **[Causal Inferences Are Driven by Noun Concept Specificity Evidence from Self-Paced Reading and Large Language Model Surprisal](https://md.research.elamur.ai/free/en/papers/schlotterbeck-2026-causal-inferences-are-driven-noun/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Fabian Schlotterbeck, Raphael Barth*2026*
12. **[Is Cross-Lingual Transfer in Bilingual Models Human-Like? A Study with Overlapping Word Forms in Dutch and English](https://md.research.elamur.ai/free/en/papers/skrjanec-2026-is-cross-lingual-transfer-bilingual/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Iza Škrjanec, Irene Elisabeth Winther, Vera Demberg, et al.*2026*
13. **[Translation from the Information Bottleneck Perspective: an Efficiency Analysis of Spatial Prepositions in Bitexts](https://md.research.elamur.ai/free/en/papers/taroni-2026-translation-information-bottleneck-perspective-efficiency/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Antoine Taroni, Ludovic Moncla, Frederique Laforest*2026*
14. **[Topic-context Dependency on Continuous Semantic Reconstruction of Language from fMRI Signals](https://md.research.elamur.ai/free/en/papers/travi-2026-topic-context-dependency-continuous-semantic/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Fermin Travi, Agustin Delmagro, Diego Fernandez Slezak, et al.*2026*
15. **[ChineseDevBench: A Chinese Developmental Benchmark for Language Development](https://md.research.elamur.ai/free/en/papers/wang-2026-chinesedevbench-chinese-developmental-benchmark-language/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Shaonan Wang, Yiwen Wu, Na Li, et al.*2026*
16. **[Toward Cognitive Alignment in Large Language Models: Integrating Linguistic Theory and Human Data](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-cognitive-alignment-large-language-models/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Wajdi Zaghouani*2026*

## Top topics

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

[Language models & pretraining (6)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Psycholinguistics & language acquisition (5)](https://md.research.elamur.ai/free/en/topics/psycholinguistics/) · [Implicature (1)](https://md.research.elamur.ai/free/en/topics/implicature/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Morphology (1)](https://md.research.elamur.ai/free/en/topics/morphology/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Idioms & multiword expressions (1)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/)

## Fields

[Arts and Humanities (16)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (14)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Neuroscience (8)](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [Psychology (8)](https://md.research.elamur.ai/free/en/shelves/psychology/)

## Top authors

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

[🧑‍🔬**Afra Alishahi**1 work here](https://md.research.elamur.ai/free/en/authors/afra-alishahi/) · [🧑‍🔬**Alexander Fraser**1 work here](https://md.research.elamur.ai/free/en/authors/alexander-fraser/) · [🧑‍🔬**Antske Fokkens**1 work here](https://md.research.elamur.ai/free/en/authors/antske-fokkens/) · [🧑‍🔬**Bruno Nicenboim**1 work here](https://md.research.elamur.ai/free/en/authors/bruno-nicenboim/) · [🧑‍🔬**Frederique Laforest**1 work here](https://md.research.elamur.ai/free/en/authors/frederique-laforest/) · [🧑‍🔬**Kenneth Christian Enevoldsen**1 work here](https://md.research.elamur.ai/free/en/authors/kenneth-christian-enevoldsen/) · [🧑‍🔬**Laura Kallmeyer**1 work here](https://md.research.elamur.ai/free/en/authors/laura-kallmeyer/) · [🧑‍🔬**Lucia Donatelli**1 work here](https://md.research.elamur.ai/free/en/authors/lucia-donatelli/) · [🧑‍🔬**Ludovic Moncla**1 work here](https://md.research.elamur.ai/free/en/authors/ludovic-moncla/) · [🧑‍🔬**Michael Roth**1 work here](https://md.research.elamur.ai/free/en/authors/michael-roth/) · [🧑‍🔬**Prisca Piccirilli**1 work here](https://md.research.elamur.ai/free/en/authors/prisca-piccirilli/) · [🧑‍🔬**Sabine Schulte im Walde**1 work here](https://md.research.elamur.ai/free/en/authors/sabine-schulte-im-walde/)

## Top institutions

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

[🎓**University of Stuttgart** Stuttgart · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-stuttgart/) · [🔬**Centre National de la Recherche Scientifique** Paris · France 1 work here](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🎓**Hong Kong Polytechnic University** Hong Kong · China 1 work here](https://md.research.elamur.ai/free/en/universities/hong-kong-polytechnic-university/) · [🎓**Radboud University Nijmegen** Nijmegen · Netherlands 1 work here](https://md.research.elamur.ai/free/en/universities/radboud-university-nijmegen/) · [🎓**University of Auckland** Auckland · New Zealand 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-auckland/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 1 work here](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Tilburg University** Tilburg · Netherlands 1 work here](https://md.research.elamur.ai/free/en/universities/tilburg-university/) · [🎓**Universidad de Buenos Aires** Buenos Aires · Argentina 1 work here](https://md.research.elamur.ai/free/en/universities/universidad-de-buenos-aires/) · [🎓**University of Florida** Gainesville · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-florida/) · [🎓**Northwestern University in Qatar** Doha · Qatar 1 work here](https://md.research.elamur.ai/free/en/universities/northwestern-university-in-qatar/) · [🎓**University of Technology Nuremberg** Nuremberg · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-technology-nuremberg/) · [🎓**Munich Center for Machine Learning** Munich · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/munich-center-for-machine-learning/)

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

- [← previous CMCL 2022](https://md.research.elamur.ai/free/en/venues/cmcl/2022/)
- [↑ back to CMCL](https://md.research.elamur.ai/free/en/venues/cmcl/)