Elamur Research⌕
☰
home / venues / CMCL / 2024

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 · 🗓 August 2024

 23papers in the proceedings 1work in our library 7citations of these 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? ↗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 ↗Zhuang Qiu, Xufeng Duan, Zhenguang Cai7 citations
  3. Locally Biased Transformers Better Align with Human Reading Times ↗Andrea De Varda, Marco Marelli6 citations
  4. An Eye Opener Regarding Task-Based Text Gradient Saliency ↗Guojun Wu, Lena S. Bolliger, David R. Reich et al.3 citations
  5. Evaluating Vision-Language Models on Bistable Images ↗Artemis Panagopoulou, Coby Melkin, Chris Callison-Burch3 citations
  6. How Useful is Context, Actually? Comparing LLMs and Humans on Discourse Marker PredictionEmily Sadlier-Brown, Millie Lou, Miikka Silfverberg et al.3 citations · our summary
  7. How can large language models become more human? ↗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 ↗Dang Anh, Limor Raviv, Lukas Galke3 citations
  9. The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication ↗Tom Kouwenhoven, Max Peeperkorn, Bram Van Dijk et al.2 citations
  10. Do LLMs Agree with Humans on Emotional Associations to Nonsense Words? ↗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? ↗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 ↗Zhuang Qiu, Xufeng Duan, Zhenguang Cai7 citations
  3. Locally Biased Transformers Better Align with Human Reading Times ↗Andrea De Varda, Marco Marelli6 citations
  4. An Eye Opener Regarding Task-Based Text Gradient Saliency ↗Guojun Wu, Lena S. Bolliger, David R. Reich et al.3 citations
  5. Evaluating Vision-Language Models on Bistable Images ↗Artemis Panagopoulou, Coby Melkin, Chris Callison-Burch3 citations
  6. How Useful is Context, Actually? Comparing LLMs and Humans on Discourse Marker PredictionEmily Sadlier-Brown, Millie Lou, Miikka Silfverberg et al.3 citations · our summary
  7. How can large language models become more human? ↗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 ↗Dang Anh, Limor Raviv, Lukas Galke3 citations
  9. The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication ↗Tom Kouwenhoven, Max Peeperkorn, Bram Van Dijk et al.2 citations
  10. Do LLMs Agree with Humans on Emotional Associations to Nonsense Words? ↗Yui Miyakawa, Chihaya Matsuhira, Hirotaka Kato et al.1 citation
  11. Evaluating Lexical Aspect with Large Language Models ↗Bolei Ma1 citation
  12. Hierarchical syntactic structure in human-like language models ↗Michael Wolfman, Donald Dunagan, Jonathan Brennan et al.1 citation
  13. LLMs' morphological analyses of complex FST-generated Finnish words ↗Anssi Moisio, Mathias Creutz, Mikko Kurimo1 citation
  14. Large language models fail to derive atypicality inferences in a human-like manner ↗Charlotte Kurch, Margarita Ryzhova, Vera Demberg1 citation
  15. Predict but Also Integrate: an Analysis of Sentence Processing Models for English and Hindi ↗Nina Delcaro, Luca Onnis, Raquel Alhama1 citation
  16. Transformer Attention vs Human Attention in Anaphora Resolution ↗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 ↗Tessa Verhoef, Kiana Shahrasbi, Tom Kouwenhoven1 citation
  18. Analysing and Validating Language Complexity Metrics Across South American Indigenous Languages ↗Felipe Serras, Miguel Carpi, Matheus Branco et al.
  19. BAMBINO-LM: (Bilingual-)Human-Inspired Continual Pre-training of BabyLM ↗Zhewen Shen, Aditya Joshi, Ruey-Cheng Chen
  20. Daily auditory environments in French-speaking infants: A longitudinal dataset ↗Estelle Hervé, Clément François, Laurent Prevot
  21. Diachronic change in verb usage statistics predicts differences in sentence processing across the lifespan ↗Ellis Cain, Rachel Ryskin
  22. Evaluating Semantic Relations in Predicting Textual Labels for Images of Abstract and Concrete Concepts ↗Tarun Tater, Sabine Schulte im Walde, Diego Frassinelli
  23. Improving Language Models for Emotion Analysis: Insights from Cognitive Science ↗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 PredictionWorkshop on Cognitive Modeling and Computational Linguistics (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)Language models & pretraining (1)English (1)

 Fields

Arts and Humanities (1)Computer Science (1)

 Top authors

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

🧑‍🔬Miikka Silfverberg1 work here · 7 citations

 Top institutions

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

🎓University of British ColumbiaVancouver · Canada1 work here

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

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/cmcl/2024/