{"total":40,"rows":[{"id":"2309.13638","title":"Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve","created":"2023-09-24","cited_by_count":178,"area":null},{"id":"2501.17047","title":"How Linguistics Learned to Stop Worrying and Love the Language Models","created":"2025-01-28","cited_by_count":51,"area":null},{"id":"2408.07144","title":"Language Models as Models of Language","created":"2024-08-13","cited_by_count":24,"area":null},{"id":"2311.10206","title":"Bayes in the age of intelligent machines","created":"2023-11-16","cited_by_count":22,"area":null},{"id":"2510.16227","title":"What Can String Probability Tell Us About Grammaticality?","created":"2025-10-17","cited_by_count":16,"area":null},{"id":"2505.17968","title":"Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems","created":"2025-05-23","cited_by_count":14,"area":null},{"id":"2405.19313","title":"Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice","created":"2024-05-29","cited_by_count":12,"area":null},{"id":"2406.03707","title":"What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions","created":"2024-06-06","cited_by_count":10,"area":null},{"id":"2601.21725","title":"Procedural Pretraining: Warming Up Language Models with Abstract Data","created":"2026-01-29","cited_by_count":10,"area":null},{"id":"2408.05086","title":"A systematic framework for generating novel experimental hypotheses from language models","created":"2024-08-09","cited_by_count":9,"area":null},{"id":"2305.19374","title":"Compositional diversity in visual concept learning","created":"2023-05-30","cited_by_count":8,"area":null},{"id":"2511.13945","title":"Can You Learn to See Without Images? Procedural Warm-Up for Vision Transformers","created":"2025-11-17","cited_by_count":8,"area":null},{"id":"2310.00796","title":"SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation","created":"2023-10-01","cited_by_count":7,"area":null},{"id":"2508.05776","title":"Whither symbols in the era of advanced neural networks?","created":"2025-08-07","cited_by_count":7,"area":null},{"id":"2402.07035","title":"Distilling Symbolic Priors for Concept Learning into Neural Networks","created":"2024-02-10","cited_by_count":5,"area":null},{"id":"2510.25356","title":"Prompting from the bench: Large-scale pretraining is not sufficient to prepare LLMs for ordinary meaning analysis","created":"2025-10-29","cited_by_count":4,"area":null},{"id":"2310.11282","title":"ChapGTP, ILLC's Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation","created":"2023-10-17","cited_by_count":3,"area":null},{"id":"2403.12201","title":"Compositional learning of functions in humans and machines","created":"2024-03-18","cited_by_count":2,"area":null},{"id":"2504.09387","title":"On Language Models' Sensitivity to Suspicious Coincidences","created":"2025-04-13","cited_by_count":2,"area":null},{"id":"2311.14601","title":"A Metalearned Neural Circuit for Nonparametric Bayesian Inference","created":"2023-11-24","cited_by_count":1,"area":null},{"id":"2607.15175","title":"Linear representations of grammaticality in neural language models","created":"2026-07-16","cited_by_count":1,"area":null},{"id":"2502.17172","title":"Teleology-Driven Affective Computing: A Causal Framework for Sustained Well-Being","created":"2025-02-24","cited_by_count":0,"area":null},{"id":"2503.23212","title":"Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation","created":"2025-03-29","cited_by_count":0,"area":null},{"id":"2510.16591","title":"Symmetry and Generalisation in Neural Approximations of Renormalisation Transformations","created":"2025-10-18","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":"2601.10421","title":"Are Language Models Models?","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2602.03882","title":"PriorProbe: Recovering Individual-Level Priors for Personalizing Neural Networks in Facial Expression Recognition","created":"2026-02-03","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":"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":"2606.14512","title":"Fodor and Pylyshyn's Systematicity Challenge Still Stands","created":"2026-06-12","cited_by_count":0,"area":null},{"id":"2608.12974","title":"Comment on \"Modeling rapid language learning by distilling Bayesian priors into artificial neural networks\"","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2608.22154","title":"More accurate behavioral predictions with hybrid Bayesian-connectionist models","created":"2026-08-23","cited_by_count":0,"area":null},{"id":"2609.06025","title":"Factors Influencing the Emergence of Dependency Length Minimization in Neural Agent Simulations","created":"2026-09-05","cited_by_count":0,"area":null},{"id":"2609.37631","title":"Procedural Core: A Compact Recurrent Initialization for Vision Transformers","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.38764","title":"Lasting Effects of Abstract Pretraining Beyond Perplexity","created":"2026-09-30","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}],"next_cursor":null}