Who cites «TinyStories: How Small Can Language Models Be and Still Speak Coherent English?»

158 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

A Unified Assessment of the Poverty of the Stimulus Argument for Neural Language Models — 2026 · arXiv:2602.09992
Autoregressive vs. Masked Diffusion Language Models: A Controlled Comparison — 2026 · arXiv:2603.22075
BabyBabelLM: A Multilingual Benchmark of Developmentally Plausible Training Data — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Budgeting Bytes: A Windowed Storage Roofline and Dual-Budget Architecture Ablations for Storage-Bound LLM Decoding — 2026 · arXiv:2609.04238
CART: Context-Anchored Recurrent Transformer -- A Parameter-Efficient Architecture with Learned Stability — 2026 · arXiv:2606.01495
Communication-Efficient Distributed Training via Ring-Based Coded Approximate All-Reduce — 2026 · arXiv:2609.23898
Compact Language, Complex Model Shifts: How and Where Ambiguity and Underspecification Affect LLMs — 2026 · arXiv:2609.39572
Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
CroCoSyn: A Cross-Lingual and Cross-Model Corpus of LLM-Generated Film Synopses — 2026 · Proceedings of the 10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature 2026
Dense vs Sparse Pretraining at Tiny Scale: Active-Parameter vs Total-Parameter Matching — 2026 · arXiv:2605.13769
Edu-QuRating: Multi-Dimensional Educational Data Curation with Distilled Pairwise Judgements — 2026 · arXiv:2609.09425
Evaluating Small Decoder-Only Language Models for Grammar Correction and Text Simplification — 2026 · arXiv:2601.03874
FeedEval: Pedagogically Aligned Evaluation of LLM-Generated Essay Feedback — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Gaperon: A Peppered English-French Generative Language Model Suite — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Implicit Causality-biases in humans and LLMs as a tool for benchmarking LLM discourse capabilities — 2026 · Dialogue & Discourse
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations — 2026 · Transactions of the Association for Computational Linguistics
Making Synthetic Questions More Child-Directed: Prompting and Sampling Effects — 2026 · Proceedings of the 1st Workshop on Computational Developmental Linguistics (CDL)
Memorization, Emergence, and Explaining Reversal Failures: A Controlled Study of Relational Semantics in LLMs — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Multilingual TinyStories: A Synthetic Combinatorial Corpus of Indic Children''s Stories for Training Small Language Models — 2026 · arXiv:2603.14563
Nepali Legal Expertise through Generative and Extractive Pre-trained Transformers (NepLEGiT) — 2026 · arXiv:2609.16010
On the Emergence and Test-Time Use of Structural Information in Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Parameter Golf: What Really Works? — 2026 · arXiv:2607.01517
Per-Token Fixed-Point Convergence in Depth-Recurrent Transformers — 2026 · arXiv:2607.14427
SteuerLLM: Local specialized large language model for German tax law analysis — 2026 · arXiv:2602.11081 · Scientific Reports, Volume 16, 2026
WISCA: A Lightweight Model Transition Method to Improve LLM Training via Weight Scaling — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
ufakzeka-1: Building and Evaluating a 151M-Parameter Turkish Language Model from Scratch — 2026 · arXiv:2609.25081
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Ability Transfer Through Language Mixing — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development — 2025 · Proceedings of the First BabyLM Workshop
Beyond Human Labels: A Multi-Linguistic Auto-Generated Benchmark for Evaluating Large Language Models on Resume Parsing — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation — 2025 · Transactions of the Association for Computational Linguistics
Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling — 2025 · Proceedings of the First BabyLM Workshop
Controlled Generation for Private Synthetic Text — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
CurLL: A Developmental Framework to Evaluate Continual Learning in Language Models — 2025 · Proceedings of the First BabyLM Workshop
Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Demystifying optimized prompts in language models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track
Do Construction Distributions Shape Formal Language Learning In German BabyLMs? — 2025 · Proceedings of the 29th Conference on Computational Natural Language Learning
EXECUTE: A Multilingual Benchmark for LLM Token Understanding — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Evaluating Synthetic Data Generation from User Generated Text — 2025 · Computational Linguistics
Exploring Sentence Stress Detection using Whisper-based Speech Models — 2025 · Proceedings of the 37th Conference on Computational Linguistics and Speech Processing (ROCLING 2025)
FaithfulSAE: Towards Capturing Faithful Features with Sparse Autoencoders without External Datasets Dependency — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
FastDraft: How to Train Your Draft — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
From Annotation to Adaptation: Metrics, Synthetic Data, and Aspect Extraction for Aspect-Based Sentiment Analysis with Large Language Models — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)
Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Improving Multilingual Math Reasoning for African Languages — 2025 · arXiv:2505.19848
Iterative Structured Knowledge Distillation: Optimizing Language Models Through Layer-by-Layer Distillation — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems — 2025 · Proceedings of the 31st International Conference on Computational Linguistics: Industry Track
Language Modeling by Language Models — 2025 · arXiv:2506.20249
Latent Multi-Head Attention for Small Language Models — 2025 · arXiv:2506.09342
Learning from Impairment: Leveraging Insights from Clinical Linguistics in Language Modelling Research — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
Learning to See through Sound: From VggCaps to Multi2Cap for Richer Automated Audio Captioning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
Making Task-Oriented Dialogue Datasets More Natural by Synthetically Generating Indirect User Requests — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Multilingual Language Model Pretraining using Machine-translated Data — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Neuroplasticity and Corruption in Model Mechanisms: A Case Study Of Indirect Object Identification — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
Once Upon a Time: Interactive Learning for Storytelling with Small Language Models — 2025 · Proceedings of the First BabyLM Workshop
PaPaformer: Language Model from Pre-trained Parallel Paths — 2025 · arXiv:2508.00544
Pico: A Modular Framework for Hypothesis-Driven Small Language Model Research — 2025 · arXiv:2509.16413
Pula: Training Large Language Models for Setswana — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
RACE Attention: A Strictly Linear-Time Attention Layer for Training on Outrageously Large Contexts — 2025 · arXiv:2510.04008
RecombiText: Compositional Data Augmentation for Enhancing LLM Pre-Training Datasets in Low-Resource Scenarios — 2025 · Proceedings of the First BabyLM Workshop
Regional Tiny Stories: Using Small Models to Compare Language Learning and Tokenizer Performance — 2025 · arXiv:2504.07989
Regional-TinyStories: A Small Language Model Framework for Evaluating Language Learning, Tokenizers, and Datasets — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
SLlama: Parameter-Efficient Language Model Architecture for Enhanced Linguistic Competence Under Strict Data Constraints — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Sample-Efficient Language Modeling with Linear Attention and Lightweight Enhancements — 2025 · Proceedings of the First BabyLM Workshop
Slamming: Training a Speech Language Model on One GPU in a Day — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Small Language Models can Outperform Humans in Short Creative Writing: A Study Comparing SLMs with Humans and LLMs — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
SpeechWeave: Diverse Multilingual Synthetic Text & Audio Data Generation Pipeline for Training Text to Speech Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
Story Generation with Large Language Models for African Languages — 2025 · Proceedings of the Sixth Workshop on African Natural Language Processing (AfricaNLP 2025)
Structural Inference: Interpreting Small Language Models with Susceptibilities — 2025 · arXiv:2504.18274
Structured Agent Distillation for Large Language Model — 2025 · arXiv:2505.13820 · The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026)
Syntriever: How to Train Your Retriever with Synthetic Data from LLMs — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
TinySQL: A Progressive Text-to-SQL Dataset for Mechanistic Interpretability Research — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
TinyServe: Query-Aware Cache Selection for Efficient LLM Serving — 2025 · arXiv:2509.12211
Too Late to Train, Too Early To Use? A Study on Necessity and Viability of Low-Resource Bengali LLMs — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
Training Bilingual LMs with Data Constraints in the Targeted Language — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Transfer of Structural Knowledge from Synthetic Languages — 2025 · Proceedings of the 1st Joint Workshop on Large Language Models and Structure Modeling (XLLM 2025)
Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning — 2025 · arXiv:2505.22308
Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language Models — 2025 · Proceedings of the First BabyLM Workshop
A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness — 2024 · arXiv:2411.03350
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training — 2024 · arXiv:2406.02613 · The Thirty-ninth Annual Conference on Neural Information Processing Systems, Dec 2025, San diego (Californie), United States
Arabic Automatic Story Generation with Large Language Models — 2024 · Proceedings of the Second Arabic Natural Language Processing Conference
BERTtime Stories: Investigating the Role of Synthetic Story Data in Language Pre-training — 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning
BLU-SynTra: Distinguish Synergies and Trade-offs between Sustainable Development Goals Using Small Language Models — 2024 · Proceedings of the Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services, and the 4th Workshop on Economics and Natural Language Processing
CUTE: Measuring LLMs'' Understanding of Their Tokens — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Deeploy: Enabling Energy-Efficient Deployment of Small Language Models On Heterogeneous Microcontrollers — 2024 · arXiv:2408.04413
Emergent Abilities in Reduced-Scale Generative Language Models — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
Event Causality Identification with Synthetic Control — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Experimenting with Legal AI Solutions: The Case of Question-Answering for Access to Justice — 2024 · arXiv:2409.07713
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora — 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning
From Tarzan to Tolkien: Controlling the Language Proficiency Level of LLMs for Content Generation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024