{"total":68,"rows":[{"id":"2111.01243","title":"Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey","created":"2021-11-01","cited_by_count":463,"area":null},{"id":"2207.04901","title":"Exploring Length Generalization in Large Language Models","created":"2022-07-11","cited_by_count":206,"area":null},{"id":"2111.09509","title":"How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN","created":"2021-11-18","cited_by_count":124,"area":null},{"id":"2208.07998","title":"What Artificial Neural Networks Can Tell Us About Human Language Acquisition","created":"2022-08-17","cited_by_count":99,"area":null},{"id":"2210.03050","title":"State-of-the-art generalisation research in NLP: A taxonomy and review","created":"2022-10-06","cited_by_count":98,"area":null},{"id":"2504.08165","title":"Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora","created":"2025-04-10","cited_by_count":88,"area":null},{"id":"2305.18741","title":"Grokking of Hierarchical Structure in Vanilla Transformers","created":"2023-05-30","cited_by_count":53,"area":null},{"id":"2305.13299","title":"Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations","created":"2023-05-22","cited_by_count":49,"area":null},{"id":"2106.08694","title":"On the proper role of linguistically-oriented deep net analysis in linguistic theorizing","created":"2021-06-16","cited_by_count":43,"area":null},{"id":"2305.14701","title":"Modeling rapid language learning by distilling Bayesian priors into artificial neural networks","created":"2023-05-24","cited_by_count":42,"area":null},{"id":"2306.03586","title":"Language acquisition: do children and language models follow similar learning stages?","created":"2023-06-06","cited_by_count":41,"area":null},{"id":"2406.00048","title":"Towards a theory of how the structure of language is acquired by deep neural networks","created":"2024-05-28","cited_by_count":39,"area":null},{"id":"2403.00025","title":"On the Challenges and Opportunities in Generative AI","created":"2024-02-28","cited_by_count":31,"area":null},{"id":"2109.01135","title":"Sequence-to-Sequence Learning with Latent Neural Grammars","created":"2021-09-02","cited_by_count":30,"area":null},{"id":"2203.09397","title":"Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models","created":"2022-03-17","cited_by_count":28,"area":null},{"id":"2210.13050","title":"Structural generalization is hard for sequence-to-sequence models","created":"2022-10-24","cited_by_count":24,"area":null},{"id":"2404.16367","title":"Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers","created":"2024-04-25","cited_by_count":24,"area":null},{"id":"2305.19905","title":"How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases","created":"2023-05-31","cited_by_count":23,"area":null},{"id":"2405.05847","title":"Learned feature representations are biased by complexity, learning order, position, and more","created":"2024-05-09","cited_by_count":23,"area":null},{"id":"2301.11462","title":"How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech","created":"2023-01-26","cited_by_count":22,"area":null},{"id":"2311.07811","title":"In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax","created":"2023-11-13","cited_by_count":22,"area":null},{"id":"2109.12036","title":"Transformers Generalize Linearly","created":"2021-09-24","cited_by_count":19,"area":null},{"id":"2109.12053","title":"Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus","created":"2021-09-24","cited_by_count":18,"area":null},{"id":"2505.07067","title":"Learning curves theory for hierarchically compositional data with power-law distributed features","created":"2025-05-11","cited_by_count":17,"area":null},{"id":"2109.01982","title":"Learning Hierarchical Structures with Differentiable Nondeterministic Stacks","created":"2021-09-05","cited_by_count":16,"area":null},{"id":"2407.19325","title":"Investigating Critical Period Effects in Language Acquisition through Neural Language Models","created":"2024-07-27","cited_by_count":16,"area":null},{"id":"2310.20093","title":"Evaluating Neural Language Models as Cognitive Models of Language Acquisition","created":"2023-10-31","cited_by_count":15,"area":null},{"id":"2410.12271","title":"Kallini et al. (2024) do not compare impossible languages with constituency-based ones","created":"2024-10-16","cited_by_count":15,"area":null},{"id":"2107.01366","title":"Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN","created":"2021-07-03","cited_by_count":14,"area":null},{"id":"2506.05136","title":"Information Locality as an Inductive Bias for Neural Language Models","created":"2025-06-05","cited_by_count":14,"area":null},{"id":"2405.08707","title":"Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory","created":"2024-05-14","cited_by_count":12,"area":null},{"id":"2412.04619","title":"Sometimes I am a Tree: Data Drives Unstable Hierarchical Generalization","created":"2024-12-05","cited_by_count":10,"area":null},{"id":"2502.04795","title":"Developmentally-plausible Working Memory Shapes a Critical Period for Language Acquisition","created":"2025-02-07","cited_by_count":10,"area":null},{"id":"2205.06910","title":"A Property Induction Framework for Neural Language Models","created":"2022-05-13","cited_by_count":9,"area":null},{"id":"2210.12673","title":"Lexical Generalization Improves with Larger Models and Longer Training","created":"2022-10-23","cited_by_count":9,"area":null},{"id":"2201.12926","title":"Compositionality as Lexical Symmetry","created":"2022-01-30","cited_by_count":8,"area":null},{"id":"2507.06445","title":"Can Interpretation Predict Behavior on Unseen Data?","created":"2025-07-08","cited_by_count":8,"area":null},{"id":"2207.00982","title":"Linguistically inspired roadmap for building biologically reliable protein language models","created":"2022-07-03","cited_by_count":7,"area":null},{"id":"2502.17356","title":"Random Scaling of Emergent Capabilities","created":"2025-02-24","cited_by_count":7,"area":null},{"id":"2202.03611","title":"Do Language Models Learn Position-Role Mappings?","created":"2022-02-08","cited_by_count":5,"area":null},{"id":"2505.07070","title":"Scaling Laws and Representation Learning in Simple Hierarchical Languages: Transformers vs. Convolutional Architectures","created":"2025-05-11","cited_by_count":5,"area":null},{"id":"2104.07623","title":"Sometimes We Want Translationese","created":"2021-04-15","cited_by_count":3,"area":null},{"id":"2210.12302","title":"What do Large Language Models Learn beyond Language?","created":"2022-10-21","cited_by_count":3,"area":null},{"id":"2401.06640","title":"Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently","created":"2024-01-12","cited_by_count":3,"area":null},{"id":"2402.08382","title":"Punctuation Restoration Improves Structure Understanding Without Supervision","created":"2024-02-13","cited_by_count":3,"area":null},{"id":"2411.16993","title":"Tree Transformers are an Ineffective Model of Syntactic Constituency","created":"2024-11-25","cited_by_count":3,"area":null},{"id":"2411.18885","title":"Sneaking Syntax into Transformer Language Models with Tree Regularization","created":"2024-11-28","cited_by_count":3,"area":null},{"id":"2111.03108","title":"How Do Neural Sequence Models Generalize? Local and Global Context Cues for Out-of-Distribution Prediction","created":"2021-11-04","cited_by_count":2,"area":null},{"id":"2202.11937","title":"Compositional Generalization Requires Compositional Parsers","created":"2022-02-24","cited_by_count":2,"area":null},{"id":"2209.12635","title":"ImmunoLingo: Linguistics-based formalization of the antibody language","created":"2022-09-26","cited_by_count":2,"area":null},{"id":"2409.13728","title":"Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts","created":"2024-09-09","cited_by_count":2,"area":null},{"id":"2606.26749","title":"Structure Before Collapse: Transient semantic geometry in next-token prediction","created":"2026-06-25","cited_by_count":2,"area":null},{"id":"2302.00667","title":"Does Vision Accelerate Hierarchical Generalization in Neural Language Learners?","created":"2023-02-01","cited_by_count":1,"area":null},{"id":"2310.11146","title":"The Quo Vadis of the Relationship between Language and Large Language Models","created":"2023-10-17","cited_by_count":1,"area":null},{"id":"2310.18932","title":"Self Attention with Temporal Prior: Can We Learn More from Arrow of Time?","created":"2023-10-29","cited_by_count":1,"area":null},{"id":"2410.06022","title":"Can Language Models Induce Grammatical Knowledge from Indirect Evidence?","created":"2024-10-08","cited_by_count":1,"area":null},{"id":"2503.18702","title":"Unsupervised Acquisition of Discrete Grammatical Categories","created":"2025-03-24","cited_by_count":1,"area":null},{"id":"2511.03547","title":"Bearing Syntactic Fruit with Stack-Augmented Neural Networks","created":"2025-11-05","cited_by_count":1,"area":null},{"id":"2601.17869","title":"On the Emergence and Test-Time Use of Structural Information in Large Language Models","created":"2026-01-25","cited_by_count":1,"area":null},{"id":"2602.09992","title":"A Unified Assessment of the Poverty of the Stimulus Argument for Neural Language Models","created":"2026-02-10","cited_by_count":1,"area":null},{"id":"2103.06924","title":"Anaphoric Binding: an integrated overview","created":"2021-03-11","cited_by_count":0,"area":null},{"id":"2512.22568","title":"Lessons from Neuroscience for AI: How integrating Actions, Compositional Structure and Episodic Memory could enable Safe, Interpretable and Human-Like AI","created":"2025-12-27","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":"2605.02608","title":"Dependency Parsing Across the Resource Spectrum: Evaluating Architectures on High and Low-Resource Languages","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2605.20529","title":"Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networks","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2607.18305","title":"The Information Shadow: Measuring Structural Limits on What Language Models Can Learn","created":"2026-07-17","cited_by_count":0,"area":null},{"id":"2608.05028","title":"Language Models Generalize to Human-like Word Order Preferences","created":"2026-08-05","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}],"next_cursor":null}