---
title: "CMCL 2024 — accepted papers — Elamur Research"
description: "CMCL 2024 — accepted papers: 1 paper in the Elamur Research library (Bangkok, Thailand), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/cmcl/2024/"
---
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# CMCL 2024 — accepted papers

CMCL 2024 is the 2024 edition of the Workshop on Cognitive Modeling and Computational Linguistics (CMCL), held in Bangkok, Thailand, August 2024 (publisher: European Language Resources Association (ELRA)). The ACL Anthology lists 23 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Bangkok, [Thailand](https://md.research.elamur.ai/free/en/countries/thailand/) · 🗓 August 2024

[**23** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/cmcl/2024/#works) · [**7** citations of these works](https://md.research.elamur.ai/free/en/venues/cmcl/2024/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[Do large language models resemble humans in language use? ↗](https://aclanthology.org/2024.cmcl-1.4/)**Zhenguang Cai, Xufeng Duan, David Haslett et al.*22 citations*
2. **[Evaluating Grammatical Well-Formedness in Large Language Models: A Comparative Study with Human Judgments ↗](https://aclanthology.org/2024.cmcl-1.16/)**Zhuang Qiu, Xufeng Duan, Zhenguang Cai*7 citations*
3. **[Locally Biased Transformers Better Align with Human Reading Times ↗](https://aclanthology.org/2024.cmcl-1.3/)**Andrea De Varda, Marco Marelli*6 citations*
4. **[An Eye Opener Regarding Task-Based Text Gradient Saliency ↗](https://aclanthology.org/2024.cmcl-1.22/)**Guojun Wu, Lena S. Bolliger, David R. Reich et al.*3 citations*
5. **[Evaluating Vision-Language Models on Bistable Images ↗](https://aclanthology.org/2024.cmcl-1.2/)**Artemis Panagopoulou, Coby Melkin, Chris Callison-Burch*3 citations*
6. **[How Useful is Context, Actually? Comparing LLMs and Humans on Discourse Marker Prediction](https://md.research.elamur.ai/free/en/papers/brown-2024-how-useful-is-context-actually/)**Emily Sadlier-Brown, Millie Lou, Miikka Silfverberg et al.*3 citations · our summary*
7. **[How can large language models become more human? ↗](https://aclanthology.org/2024.cmcl-1.14/)**Daphne Wang, Mehrnoosh Sadrzadeh, Miloš Stanojević et al.*3 citations*
8. **[Morphology Matters: Probing the Cross-linguistic Morphological Generalization Abilities of Large Language Models through a Wug Test ↗](https://aclanthology.org/2024.cmcl-1.15/)**Dang Anh, Limor Raviv, Lukas Galke*3 citations*
9. **[The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication ↗](https://aclanthology.org/2024.cmcl-1.5/)**Tom Kouwenhoven, Max Peeperkorn, Bram Van Dijk et al.*2 citations*
10. **[Do LLMs Agree with Humans on Emotional Associations to Nonsense Words? ↗](https://aclanthology.org/2024.cmcl-1.7/)**Yui Miyakawa, Chihaya Matsuhira, Hirotaka Kato et al.*1 citation*

## All accepted papers (23)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[Do large language models resemble humans in language use? ↗](https://aclanthology.org/2024.cmcl-1.4/)**Zhenguang Cai, Xufeng Duan, David Haslett et al.*22 citations*
2. **[Evaluating Grammatical Well-Formedness in Large Language Models: A Comparative Study with Human Judgments ↗](https://aclanthology.org/2024.cmcl-1.16/)**Zhuang Qiu, Xufeng Duan, Zhenguang Cai*7 citations*
3. **[Locally Biased Transformers Better Align with Human Reading Times ↗](https://aclanthology.org/2024.cmcl-1.3/)**Andrea De Varda, Marco Marelli*6 citations*
4. **[An Eye Opener Regarding Task-Based Text Gradient Saliency ↗](https://aclanthology.org/2024.cmcl-1.22/)**Guojun Wu, Lena S. Bolliger, David R. Reich et al.*3 citations*
5. **[Evaluating Vision-Language Models on Bistable Images ↗](https://aclanthology.org/2024.cmcl-1.2/)**Artemis Panagopoulou, Coby Melkin, Chris Callison-Burch*3 citations*
6. **[How Useful is Context, Actually? Comparing LLMs and Humans on Discourse Marker Prediction](https://md.research.elamur.ai/free/en/papers/brown-2024-how-useful-is-context-actually/)**Emily Sadlier-Brown, Millie Lou, Miikka Silfverberg et al.*3 citations · our summary*
7. **[How can large language models become more human? ↗](https://aclanthology.org/2024.cmcl-1.14/)**Daphne Wang, Mehrnoosh Sadrzadeh, Miloš Stanojević et al.*3 citations*
8. **[Morphology Matters: Probing the Cross-linguistic Morphological Generalization Abilities of Large Language Models through a Wug Test ↗](https://aclanthology.org/2024.cmcl-1.15/)**Dang Anh, Limor Raviv, Lukas Galke*3 citations*
9. **[The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication ↗](https://aclanthology.org/2024.cmcl-1.5/)**Tom Kouwenhoven, Max Peeperkorn, Bram Van Dijk et al.*2 citations*
10. **[Do LLMs Agree with Humans on Emotional Associations to Nonsense Words? ↗](https://aclanthology.org/2024.cmcl-1.7/)**Yui Miyakawa, Chihaya Matsuhira, Hirotaka Kato et al.*1 citation*
11. **[Evaluating Lexical Aspect with Large Language Models ↗](https://aclanthology.org/2024.cmcl-1.11/)**Bolei Ma*1 citation*
12. **[Hierarchical syntactic structure in human-like language models ↗](https://aclanthology.org/2024.cmcl-1.6/)**Michael Wolfman, Donald Dunagan, Jonathan Brennan et al.*1 citation*
13. **[LLMs' morphological analyses of complex FST-generated Finnish words ↗](https://aclanthology.org/2024.cmcl-1.21/)**Anssi Moisio, Mathias Creutz, Mikko Kurimo*1 citation*
14. **[Large language models fail to derive atypicality inferences in a human-like manner ↗](https://aclanthology.org/2024.cmcl-1.8/)**Charlotte Kurch, Margarita Ryzhova, Vera Demberg*1 citation*
15. **[Predict but Also Integrate: an Analysis of Sentence Processing Models for English and Hindi ↗](https://aclanthology.org/2024.cmcl-1.9/)**Nina Delcaro, Luca Onnis, Raquel Alhama*1 citation*
16. **[Transformer Attention vs Human Attention in Anaphora Resolution ↗](https://aclanthology.org/2024.cmcl-1.10/)**Anastasia Kozlova, Albina Akhmetgareeva, Aigul Khanova et al.*1 citation*
17. **[What does Kiki look like? Cross-modal associations between speech sounds and visual shapes in vision-and-language models ↗](https://aclanthology.org/2024.cmcl-1.17/)**Tessa Verhoef, Kiana Shahrasbi, Tom Kouwenhoven*1 citation*
18. **[Analysing and Validating Language Complexity Metrics Across South American Indigenous Languages ↗](https://aclanthology.org/2024.cmcl-1.13/)**Felipe Serras, Miguel Carpi, Matheus Branco et al.
19. **[BAMBINO-LM: (Bilingual-)Human-Inspired Continual Pre-training of BabyLM ↗](https://aclanthology.org/2024.cmcl-1.1/)**Zhewen Shen, Aditya Joshi, Ruey-Cheng Chen
20. **[Daily auditory environments in French-speaking infants: A longitudinal dataset ↗](https://aclanthology.org/2024.cmcl-1.12/)**Estelle Hervé, Clément François, Laurent Prevot
21. **[Diachronic change in verb usage statistics predicts differences in sentence processing across the lifespan ↗](https://aclanthology.org/2024.cmcl-1.19/)**Ellis Cain, Rachel Ryskin
22. **[Evaluating Semantic Relations in Predicting Textual Labels for Images of Abstract and Concrete Concepts ↗](https://aclanthology.org/2024.cmcl-1.18/)**Tarun Tater, Sabine Schulte im Walde, Diego Frassinelli
23. **[Improving Language Models for Emotion Analysis: Insights from Cognitive Science ↗](https://aclanthology.org/2024.cmcl-1.23/)**Constant Bonard, Gustave Cortal

## Papers with our summary in our library (1)

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

1. **[How Useful is Context, Actually? Comparing LLMs and Humans on Discourse Marker Prediction](https://md.research.elamur.ai/free/en/papers/brown-2024-how-useful-is-context-actually/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Emily Sadlier-Brown, Millie Lou, Miikka Silfverberg, et al.*2024 · 7 citations*

## Top topics

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

[Discourse analysis (1)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

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

[🧑‍🔬**Miikka Silfverberg**1 work here · 7 citations](https://md.research.elamur.ai/free/en/authors/miikka-silfverberg/)

## Top institutions

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

[🎓**University of British Columbia** Vancouver · Canada 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-british-columbia/)

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