---
title: "BabyLM Workshop 2025 — accepted papers — Elamur Research"
description: "BabyLM Workshop 2025 — accepted papers: 6 papers in the Elamur Research library (Suzhou, China), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/babylm/2025/"
---
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# BabyLM Workshop 2025 — accepted papers

BabyLM Workshop 2025 is the 2025 edition of the BabyLM Workshop, held in Suzhou, China, November 2025 (publisher: Association for Computational Linguistics). The ACL Anthology lists 41 papers of it; our library holds 6 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Suzhou, [China](https://md.research.elamur.ai/free/en/countries/china/) · 🗓 November 2025

[**41** papers in the proceedings](#all) · [**6** works in our library](https://md.research.elamur.ai/free/en/venues/babylm/2025/#works) · [**13** citations of these works](https://md.research.elamur.ai/free/en/venues/babylm/2025/#works)

## Most cited papers

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

1. **[Findings of the Third BabyLM Challenge: Accelerating Language Modeling Research with Cognitively Plausible Data ↗](https://aclanthology.org/2025.babylm-main.28/)**Lucas Charpentier, Leshem Choshen, Ryan Cotterell et al.*2 citations*
2. **[Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models](https://md.research.elamur.ai/free/en/papers/askari-2025-are-babylms-deaf-gricean-maxims/)**Raha Askari, Sina Zarrieß, Özge Alacam et al.*1 citation · our summary*
3. **[Dialogue Is Not Enough to Make a Communicative BabyLM (But Neither Is Developmentally Inspired Reinforcement Learning) ↗](https://aclanthology.org/2025.babylm-main.29/)**Francesca Padovani, Bastian Bunzeck, Manar Ali et al.*1 citation*
4. **[Influence-driven Curriculum Learning for Pre-training on Limited Data ↗](https://aclanthology.org/2025.babylm-main.26/)**Loris Schoenegger, Lukas Thoma, Terra Blevins et al.*1 citation*
5. **[Large Language Models and Children Have Different Learning Trajectories in Determiner Acquisition ↗](https://aclanthology.org/2025.babylm-main.8/)**Olivia La Fiandra, Nathalie Fernandez Echeverri, Patrick Shafto et al.*1 citation*
6. **[Mask and You Shall Receive: Optimizing Masked Language Modeling For Pretraining BabyLMs ↗](https://aclanthology.org/2025.babylm-main.31/)**Lukas Edman, Alexander Fraser*1 citation*
7. **[Once Upon a Time: Interactive Learning for Storytelling with Small Language Models ↗](https://aclanthology.org/2025.babylm-main.32/)**Jonas Mayer Martins, Ali Hamza Bashir, Muhammad Rehan Khalid et al.*1 citation*
8. **[Sample-Efficient Language Modeling with Linear Attention and Lightweight Enhancements ↗](https://aclanthology.org/2025.babylm-main.14/)**Patrick Haller, Jonas Golde, Alan Akbik*1 citation*
9. **[Teacher Demonstrations in a BabyLM's Zone of Proximal Development for Contingent Multi-Turn Interaction ↗](https://aclanthology.org/2025.babylm-main.25/)**Suchir Salhan, Hongyi Gu, Donya Rooein et al.*1 citation*

## All accepted papers (41)

The most cited first; 6 with our summary link to their page here, the others to the original.

1. **[Findings of the Third BabyLM Challenge: Accelerating Language Modeling Research with Cognitively Plausible Data ↗](https://aclanthology.org/2025.babylm-main.28/)**Lucas Charpentier, Leshem Choshen, Ryan Cotterell et al.*2 citations*
2. **[Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models](https://md.research.elamur.ai/free/en/papers/askari-2025-are-babylms-deaf-gricean-maxims/)**Raha Askari, Sina Zarrieß, Özge Alacam et al.*1 citation · our summary*
3. **[Dialogue Is Not Enough to Make a Communicative BabyLM (But Neither Is Developmentally Inspired Reinforcement Learning) ↗](https://aclanthology.org/2025.babylm-main.29/)**Francesca Padovani, Bastian Bunzeck, Manar Ali et al.*1 citation*
4. **[Influence-driven Curriculum Learning for Pre-training on Limited Data ↗](https://aclanthology.org/2025.babylm-main.26/)**Loris Schoenegger, Lukas Thoma, Terra Blevins et al.*1 citation*
5. **[Large Language Models and Children Have Different Learning Trajectories in Determiner Acquisition ↗](https://aclanthology.org/2025.babylm-main.8/)**Olivia La Fiandra, Nathalie Fernandez Echeverri, Patrick Shafto et al.*1 citation*
6. **[Mask and You Shall Receive: Optimizing Masked Language Modeling For Pretraining BabyLMs ↗](https://aclanthology.org/2025.babylm-main.31/)**Lukas Edman, Alexander Fraser*1 citation*
7. **[Once Upon a Time: Interactive Learning for Storytelling with Small Language Models ↗](https://aclanthology.org/2025.babylm-main.32/)**Jonas Mayer Martins, Ali Hamza Bashir, Muhammad Rehan Khalid et al.*1 citation*
8. **[Sample-Efficient Language Modeling with Linear Attention and Lightweight Enhancements ↗](https://aclanthology.org/2025.babylm-main.14/)**Patrick Haller, Jonas Golde, Alan Akbik*1 citation*
9. **[Teacher Demonstrations in a BabyLM's Zone of Proximal Development for Contingent Multi-Turn Interaction ↗](https://aclanthology.org/2025.babylm-main.25/)**Suchir Salhan, Hongyi Gu, Donya Rooein et al.*1 citation*
10. **[A Comparison of Elementary Baselines for BabyLM ↗](https://aclanthology.org/2025.babylm-main.16/)**Rareș Păpușoi, Sergiu Nisioi
11. **[A Morpheme-Aware Child-Inspired Language Model ↗](https://aclanthology.org/2025.babylm-main.21/)**Necva Bölücü, Burcu Can
12. **[Active Curriculum Language Modeling over a Hybrid Pre-training Method ↗](https://aclanthology.org/2025.babylm-main.34/)**Eleni Fysikoudi, Sharid Loáiciga, Asad B. Sayeed
13. **[BLiSS: Evaluating Bilingual Learner Competence in Second Language Small Language Models ↗](https://aclanthology.org/2025.babylm-main.13/)**Yuan Gao, Suchir Salhan, Andrew Caines et al.
14. **[Babies Learn to Look Ahead: Multi-Token Prediction in Small LMs](https://md.research.elamur.ai/free/en/papers/aynetdinov-2025-babies-learn-look-ahead-multi/)**Ansar Aynetdinov, Alan Akbik*our summary*
15. **[Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development](https://md.research.elamur.ai/free/en/papers/yoshida-2025-batch-wise-convergent-pre-training/)**Ko Yoshida, Daiki Shiono, Kai Sato et al.*our summary*
16. **[Beyond Repetition: Text Simplification and Curriculum Learning for Data-Constrained Pretraining ↗](https://aclanthology.org/2025.babylm-main.19/)**Matthew Theodore Roque, Dan John Velasco
17. **[BitMar: Low-Bit Multimodal Fusion with Episodic Memory for Edge Devices](https://md.research.elamur.ai/free/en/papers/aman-2025-bitmar-low-bit-multimodal-fusion/)**Euhid Aman, Esteban Carlin, Hsing-Kuo Kenneth Pao et al.*our summary*
18. **[CLASS-IT: Conversational and Lecture-Aligned Small-Scale Instruction Tuning for BabyLMs ↗](https://aclanthology.org/2025.babylm-main.30/)**Luca Capone, Alessandro Bondielli, Alessandro Lenci
19. **[Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling ↗](https://aclanthology.org/2025.babylm-main.2/)**Jannek Ulm, Kevin Du, Vésteinn Snæbjarnarson
20. **[CurLL: A Developmental Framework to Evaluate Continual Learning in Language Models ↗](https://aclanthology.org/2025.babylm-main.20/)**Pavan Kalyan Tankala, Shubhra Mishra, Satya Lokam et al.
21. **[Design and Analysis of few Million Parameter Transformer-based Language Models trained over a few Million Tokens Dataset ↗](https://aclanthology.org/2025.babylm-main.9/)**Yen-Che Hsiao, Abhishek Dutta
22. **[Do Syntactic Categories Help in Developmentally Motivated Curriculum Learning for Language Models? ↗](https://aclanthology.org/2025.babylm-main.22/)**Arzu Burcu Güven, Anna Rogers, Rob van der Goot
23. **[Exploring smaller batch sizes for a high-performing BabyLM model architecture ↗](https://aclanthology.org/2025.babylm-main.12/)**Sharid Loáiciga, Eleni Fysikoudi, Asad B. Sayeed
24. **[FORGETTER with forgetful hyperparameters and recurring sleeps can continue to learn beyond normal overtfitting limits ↗](https://aclanthology.org/2025.babylm-main.7/)**Yamamoto Rui, Keiji Miura
25. **[Linguistic Units as Tokens: Intrinsic and Extrinsic Evaluation with BabyLM ↗](https://aclanthology.org/2025.babylm-main.35/)**Achille Fusco, Maria Letizia Piccini Bianchessi, Tommaso Sgrizzi et al.

[See all 41 papers in BabyLM Workshop 2025 — accepted papers →](https://md.research.elamur.ai/free/en/venues/babylm/2025/papers/)

## Papers with our summary in our library (6)

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

1. **[Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models](https://md.research.elamur.ai/free/en/papers/askari-2025-are-babylms-deaf-gricean-maxims/) [BabyLM Workshop](https://md.research.elamur.ai/free/en/venues/babylm/)**Raha Askari, Sina Zarrieß, Özge Alacam, et al.*2025 · 4 citations*
2. [**TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in Hebrew**Anita Gelboim, Elior Sulem*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/gelboim-2025-tafberta-learning-grammatical-rules-small/)
3. **[What did you say? Generating Child-Directed Speech Questions to Train LLMs](https://md.research.elamur.ai/free/en/papers/poh-2025-what-did-you-say-generating/) [BabyLM Workshop](https://md.research.elamur.ai/free/en/venues/babylm/)**Whitney Poh, Michael Tombolini, Libby Barak*2025 · 3 citations*
4. **[BitMar: Low-Bit Multimodal Fusion with Episodic Memory for Edge Devices](https://md.research.elamur.ai/free/en/papers/aman-2025-bitmar-low-bit-multimodal-fusion/) [BabyLM Workshop](https://md.research.elamur.ai/free/en/venues/babylm/)**Euhid Aman, Esteban Carlin, Hsing-Kuo Kenneth Pao, et al.*2025 · 1 citation*
5. **[Babies Learn to Look Ahead: Multi-Token Prediction in Small LMs](https://md.research.elamur.ai/free/en/papers/aynetdinov-2025-babies-learn-look-ahead-multi/) [BabyLM Workshop](https://md.research.elamur.ai/free/en/venues/babylm/)**Ansar Aynetdinov, Alan Akbik*2025 · 1 citation*
6. **[Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development](https://md.research.elamur.ai/free/en/papers/yoshida-2025-batch-wise-convergent-pre-training/) [BabyLM Workshop](https://md.research.elamur.ai/free/en/venues/babylm/)**Ko Yoshida, Daiki Shiono, Kai Sato, et al.*2025 · 1 citation*

## Top topics

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

[Language models & pretraining (3)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Psycholinguistics & language acquisition (3)](https://md.research.elamur.ai/free/en/topics/psycholinguistics/) · [Implicature (1)](https://md.research.elamur.ai/free/en/topics/implicature/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Hebrew & Aramaic (1)](https://md.research.elamur.ai/free/en/topics/hebrew-aramaic/) · [Semitic languages (1)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Modern Hebrew (1)](https://md.research.elamur.ai/free/en/topics/modern-hebrew/)

## Fields

[Arts and Humanities (5)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (5)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Psychology (3)](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.

[🧑‍🔬**Judith Sieker**1 work here · 4 citations](https://md.research.elamur.ai/free/en/authors/judith-sieker/) · [🧑‍🔬**Sina Zarrieß**1 work here · 4 citations](https://md.research.elamur.ai/free/en/authors/sina-zarriess/) · [🧑‍🔬**Özge Alacam**1 work here · 4 citations](https://md.research.elamur.ai/free/en/authors/ozge-alacam/) · [🧑‍🔬**Elior Sulem**1 work here · 3 citations](https://md.research.elamur.ai/free/en/authors/elior-sulem/) · [🧑‍🔬**Libby Barak**1 work here · 3 citations](https://md.research.elamur.ai/free/en/authors/libby-barak/) · [🧑‍🔬**Michael Tombolini**1 work here · 3 citations](https://md.research.elamur.ai/free/en/authors/michael-tombolini/) · [🧑‍🔬**Whitney Poh**1 work here · 3 citations](https://md.research.elamur.ai/free/en/authors/whitney-poh/) · [🧑‍🔬**Alan Akbik**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/alan-akbik/) · [🧑‍🔬**Ansar Aynetdinov**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/ansar-aynetdinov/) · [🧑‍🔬**Esteban Carlin**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/esteban-carlin/) · [🧑‍🔬**Jun Suzuki**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/jun-suzuki/)

## Top institutions

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

[🎓**Ben-Gurion University of the Negev** Beersheba · Israel 1 work here](https://md.research.elamur.ai/free/en/universities/ben-gurion-university-of-the-negev/) · [🎓**National Taiwan University of Science and Technology** Taipei · Taiwan 1 work here](https://md.research.elamur.ai/free/en/universities/national-taiwan-university-of-science-and-technology/) · [🎓**Montclair State University** Montclair · United States 1 work here](https://md.research.elamur.ai/free/en/universities/montclair-state-university/) · [🎓**Bielefeld University** Bielefeld · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/bielefeld-university/) · [🎓**Tohoku University** Sendai · Japan 1 work here](https://md.research.elamur.ai/free/en/universities/tohoku-university/) · [🎓**Polytechnique Montréal** Montreal · Canada 1 work here](https://md.research.elamur.ai/free/en/universities/polytechnique-montreal/) · [🎓**University of Turin** Turin · Italy 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-turin/)

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

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