{"total":77,"rows":[{"id":"2505.17863","title":"The emergence of sparse attention: impact of data distribution and benefits of repetition","created":"2025-05-23","cited_by_count":25,"area":null},{"id":"2602.20092","title":"BabyLM Turns 4 and Goes Multilingual: Call for Papers for the 2026 BabyLM Workshop","created":"2026-02-23","cited_by_count":13,"area":null},{"id":"2509.15714","title":"Once Upon a Time: Interactive Learning for Storytelling with Small Language Models","created":"2025-09-19","cited_by_count":11,"area":null},{"id":"2510.20358","title":"Dialogue Is Not Enough to Make a Communicative BabyLM (But Neither Is Developmentally Inspired Reinforcement Learning)","created":"2025-10-23","cited_by_count":11,"area":null},{"id":"2504.09184","title":"Parameterized Synthetic Text Generation with SimpleStories","created":"2025-04-12","cited_by_count":10,"area":null},{"id":"2510.10159","title":"BabyBabelLM: A Multilingual Benchmark of Developmentally Plausible Training Data","created":"2025-10-11","cited_by_count":10,"area":null},{"id":"2510.20411","title":"Teacher Demonstrations in a BabyLM's Zone of Proximal Development for Contingent Multi-Turn Interaction","created":"2025-10-23","cited_by_count":9,"area":null},{"id":"2506.01840","title":"Minimal Pair-Based Evaluation of Code-Switching","created":"2025-06-02","cited_by_count":8,"area":null},{"id":"2603.29552","title":"Bringing Up a Bilingual BabyLM: Investigating Multilingual Language Acquisition Using Small-Scale Models","created":"2026-03-31","cited_by_count":5,"area":null},{"id":"2506.04408","title":"Unpacking Let Alone: Human-Scale Models Generalize to a Rare Construction in Form but not Meaning","created":"2025-06-04","cited_by_count":4,"area":null},{"id":"2512.10932","title":"BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models","created":"2025-12-11","cited_by_count":4,"area":null},{"id":"2512.12802","title":"A Disproof of Large Language Model Consciousness: The Necessity of Continual Learning for Consciousness","created":"2025-12-14","cited_by_count":4,"area":null},{"id":"2508.05803","title":"Human-like fleeting memory improves language learning but impairs reading time prediction in transformer language models","created":"2025-08-07","cited_by_count":3,"area":null},{"id":"2510.04268","title":"LongTail-Swap: benchmarking language models' abilities on rare words","created":"2025-10-05","cited_by_count":3,"area":null},{"id":"2510.20475","title":"Mask and You Shall Receive: Optimizing Masked Language Modeling For Pretraining BabyLMs","created":"2025-10-23","cited_by_count":3,"area":null},{"id":"2508.15475","title":"Influence-driven Curriculum Learning for Pre-training on Limited Data","created":"2025-08-21","cited_by_count":2,"area":null},{"id":"2510.19493","title":"What is the Best Sequence Length for BABYLM?","created":"2025-10-22","cited_by_count":2,"area":null},{"id":"2602.14100","title":"Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like Humans","created":"2026-02-15","cited_by_count":2,"area":null},{"id":"2605.17849","title":"Generating Pretraining Tokens from Organic Data for Data-Bound Scaling","created":"2026-05-18","cited_by_count":2,"area":null},{"id":"2510.01030","title":"Uncovering the Computational Ingredients of Human-Like Representations in LLMs","created":"2025-10-01","cited_by_count":1,"area":null},{"id":"2603.02082","title":"What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap Dependencies","created":"2026-03-02","cited_by_count":1,"area":null},{"id":"2603.08359","title":"Computational modeling of early language learning from acoustic speech and audiovisual input without linguistic priors","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2603.12906","title":"Learning from Child-Directed Speech in Two-Language Scenarios: A French-English Case Study","created":"2026-03-13","cited_by_count":1,"area":null},{"id":"2603.23821","title":"Perturbation: A simple and efficient adversarial tracer for representation learning in language models","created":"2026-03-25","cited_by_count":1,"area":null},{"id":"2604.18293","title":"An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via Surprisal","created":"2026-04-20","cited_by_count":1,"area":null},{"id":"2605.16758","title":"Language Acquisition Device in Large Language Models","created":"2026-05-16","cited_by_count":1,"area":null},{"id":"2609.11505","title":"Structural priors for data-efficient language learning","created":"2026-09-10","cited_by_count":1,"area":null},{"id":"2505.16277","title":"Spontaneous Speech Variables for Evaluating LLMs Cognitive Plausibility","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2506.02147","title":"BabyLM's First Constructions: Causal probing provides a signal of learning","created":"2025-06-02","cited_by_count":0,"area":null},{"id":"2506.22366","title":"Why Are Parsing Actions for Understanding Message Hierarchies Not Random?","created":"2025-06-27","cited_by_count":0,"area":null},{"id":"2507.21556","title":"Transformers over-extend what humans underlearn: the case of Spanish L-shaped morphome","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2508.07969","title":"Understanding Syntactic Generalization in Structure-inducing Language Models","created":"2025-08-11","cited_by_count":0,"area":null},{"id":"2508.13769","title":"Can Large Language Models (LLMs) Describe Pictures Like Children? A Comparative Corpus Study","created":"2025-08-19","cited_by_count":0,"area":null},{"id":"2510.24934","title":"Disaggregation Reveals Hidden Training Dynamics: The Case of Agreement Attraction","created":"2025-10-28","cited_by_count":0,"area":null},{"id":"2511.08199","title":"Do Syntactic Categories Help in Developmentally Motivated Curriculum Learning for Language Models?","created":"2025-11-11","cited_by_count":0,"area":null},{"id":"2512.09394","title":"Language models as tools for investigating the distinction between possible and impossible natural languages","created":"2025-12-10","cited_by_count":0,"area":null},{"id":"2512.12447","title":"Large language models have learned to use language","created":"2025-12-13","cited_by_count":0,"area":null},{"id":"2512.13441","title":"Large language models are not about natural language","created":"2025-12-15","cited_by_count":0,"area":null},{"id":"2512.14506","title":"Linguists should learn to love speech-based deep learning models","created":"2025-12-16","cited_by_count":0,"area":null},{"id":"2601.09421","title":"Bias Dynamics in BabyLMs: Towards a Compute-Efficient Sandbox for Democratising Pre-Training Debiasing","created":"2026-01-14","cited_by_count":0,"area":null},{"id":"2601.10421","title":"Are Language Models Models?","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2601.12179","title":"Tolerance Principle and Small Language Model Learning","created":"2026-01-17","cited_by_count":0,"area":null},{"id":"2602.08437","title":"Large Language Models and Impossible Language Acquisition: \"False Promise\" or an Overturn of our Current Perspective towards AI","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2603.00359","title":"How Large Language Models Get Stuck: Early structure with persistent errors","created":"2026-02-27","cited_by_count":0,"area":null},{"id":"2603.13696","title":"Repetition Without Exclusivity: Scale Sensitivity of Referential Mechanisms in Child-Scale Language Models","created":"2026-03-14","cited_by_count":0,"area":null},{"id":"2603.13761","title":"Level Up: Defining and Exploiting Transitional Problems for Curriculum Learning","created":"2026-03-14","cited_by_count":0,"area":null},{"id":"2604.05243","title":"Exemplar Retrieval Without Overhypothesis Induction: Limits of Distributional Sequence Learning in Early Word Learning","created":"2026-04-06","cited_by_count":0,"area":null},{"id":"2604.09466","title":"Across the Levels of Analysis: Explaining Predictive Processing in Humans Requires More Than Machine-Estimated Probabilities","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2604.09501","title":"You Can't Fight in Here! This is BBS!","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2604.14459","title":"Filling in the Mechanisms: How do LMs Learn Filler-Gap Dependencies under Developmental Constraints?","created":"2026-04-15","cited_by_count":0,"area":null},{"id":"2604.20789","title":"Working Memory Constraints Scaffold Learning in Transformers under Data Scarcity","created":"2026-04-22","cited_by_count":0,"area":null},{"id":"2605.10061","title":"Not-So-Strange Love: Language Models and Generative Linguistic Theories are More Compatible than They Appear","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2605.15440","title":"Why are language models less surprised than humans? Testing the Parse Multiplicity Mismatch Hypothesis","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2605.31586","title":"Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.01045","title":"Child-directed speech facilitates production, not comprehension, in BabyLMs","created":"2026-05-31","cited_by_count":0,"area":null},{"id":"2606.10467","title":"Large Language Models as Modal Models in Linguistics","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2606.28524","title":"Developmental Trajectories of Situation Modeling and Mentalizing in Transformer Language Models","created":"2026-06-26","cited_by_count":0,"area":null},{"id":"2607.00970","title":"Svarna: An Open Corpus Workbench for Modern Greek","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2607.01517","title":"Parameter Golf: What Really Works?","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2607.04846","title":"Pretraining Curricula Enable Selective Fine-tuning","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2607.10745","title":"The First ChineseBabyLM Challenge: training data-efficient and cognitively plausible language models for Chinese","created":"2026-07-12","cited_by_count":0,"area":null},{"id":"2607.19992","title":"TINY_SCHILLER: A Drop-In German Drama Corpus for Small Language Models","created":"2026-07-22","cited_by_count":0,"area":null},{"id":"2607.21574","title":"Surprisal Theory is Tautological (without Rational Grounding)","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2607.24797","title":"Reading Without a Reader: Large Language Models Collapse Reading and Writing into a Single Entangled Code","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2607.26179","title":"Cognitive Convergence: Deep Similarities Between Large Language Models and Human Cognition","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2608.17120","title":"Children, but not language models, show accelerating returns in word learning","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2608.23818","title":"Beyond Static and Linear: What Attention Constraints Best Fit Human Reading Times?","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2609.03577","title":"Language, Language Models, and What We're Talking About","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.07474","title":"Where Should Language Sit in a Multimodal Model? Lessons from What Language Does to Human Perception and Cognition","created":"2026-09-07","cited_by_count":0,"area":null},{"id":"2609.09691","title":"Looped GPT-BERT: Trading Parameters for Computation in Small Language Modeling","created":"2026-09-09","cited_by_count":0,"area":null},{"id":"2609.13899","title":"URCHIN: A Horizontal Spiking Language Model for Data-Constrained Pretraining","created":"2026-09-12","cited_by_count":0,"area":null},{"id":"2609.17435","title":"Right Tool, Right Job: Native-Language Evaluation, Tokenizer Sensitivity, and Methodological Findings from a French-Only BabyLM","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.20530","title":"Relational Attention for Data-Efficient Language Modeling","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.26539","title":"A retrospective analysis on the use of LLMs to study infant syntax learning","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2609.30535","title":"Feeding BabyLMs Macaroni: Code-Switching Curricula Cause Cross-Lingual Convergence","created":"2026-09-24","cited_by_count":0,"area":null},{"id":"2610.05879","title":"Learning to Learn a Language","created":"2026-10-05","cited_by_count":0,"area":null},{"id":"2610.17538","title":"Everyone Was Right: Lexical Representations in Language Models Are Both Abstract and Holistic","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}