{"total":152,"rows":[{"id":"2106.06087","title":"Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models","created":"2021-06-10","cited_by_count":131,"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":"2303.11504","title":"Language Model Behavior: A Comprehensive Survey","created":"2023-03-20","cited_by_count":92,"area":null},{"id":"2504.02768","title":"MultiBLiMP 1.0: A Massively Multilingual Benchmark of Linguistic Minimal Pairs","created":"2025-04-03","cited_by_count":71,"area":null},{"id":"2212.06801","title":"A fine-grained comparison of pragmatic language understanding in humans and language models","created":"2022-12-13","cited_by_count":70,"area":null},{"id":"2109.07020","title":"Frequency Effects on Syntactic Rule Learning in Transformers","created":"2021-09-14","cited_by_count":59,"area":null},{"id":"2402.01676","title":"Language models align with human judgments on key grammatical constructions","created":"2024-01-19","cited_by_count":49,"area":null},{"id":"2101.11131","title":"CLiMP: A Benchmark for Chinese Language Model Evaluation","created":"2021-01-26","cited_by_count":46,"area":null},{"id":"2402.12560","title":"CausalGym: Benchmarking causal interpretability methods on linguistic tasks","created":"2024-02-19","cited_by_count":46,"area":null},{"id":"2212.01488","title":"Event knowledge in large language models: the gap between the impossible and the unlikely","created":"2022-12-02","cited_by_count":45,"area":null},{"id":"2109.14989","title":"Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations","created":"2021-09-30","cited_by_count":44,"area":null},{"id":"2305.13264","title":"Prompting is not a substitute for probability measurements in large language models","created":"2023-05-22","cited_by_count":44,"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":"2104.09635","title":"Refining Targeted Syntactic Evaluation of Language Models","created":"2021-04-19","cited_by_count":41,"area":null},{"id":"2203.00633","title":"Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale","created":"2022-03-01","cited_by_count":41,"area":null},{"id":"2210.15303","title":"Can language models handle recursively nested grammatical structures? A case study on comparing models and humans","created":"2022-10-27","cited_by_count":41,"area":null},{"id":"2405.15750","title":"Filtered Corpus Training (FiCT) Shows that Language Models can Generalize from Indirect Evidence","created":"2024-05-24","cited_by_count":35,"area":null},{"id":"2106.03232","title":"A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans","created":"2021-06-06","cited_by_count":32,"area":null},{"id":"2401.06416","title":"Mission: Impossible Language Models","created":"2024-01-12","cited_by_count":32,"area":null},{"id":"2105.13818","title":"Language Models Use Monotonicity to Assess NPI Licensing","created":"2021-05-28","cited_by_count":31,"area":null},{"id":"2503.07513","title":"Language Models Fail to Introspect About Their Knowledge of Language","created":"2025-03-10","cited_by_count":30,"area":null},{"id":"2408.10441","title":"Goldfish: Monolingual Language Models for 350 Languages","created":"2024-08-19","cited_by_count":29,"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":"2108.00104","title":"Structural Guidance for Transformer Language Models","created":"2021-07-30","cited_by_count":25,"area":null},{"id":"2202.12246","title":"Neural reality of argument structure constructions","created":"2022-02-24","cited_by_count":25,"area":null},{"id":"2105.07452","title":"How is BERT surprised? Layerwise detection of linguistic anomalies","created":"2021-05-16","cited_by_count":24,"area":null},{"id":"2211.09748","title":"Probing for Incremental Parse States in Autoregressive Language Models","created":"2022-11-17","cited_by_count":24,"area":null},{"id":"2403.14859","title":"Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models","created":"2024-03-21","cited_by_count":24,"area":null},{"id":"2205.03472","title":"When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it","created":"2022-05-06","cited_by_count":23,"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":"2502.12317","title":"Can Language Models Learn Typologically Implausible Languages?","created":"2025-02-17","cited_by_count":23,"area":null},{"id":"2212.08979","title":"Language model acceptability judgements are not always robust to context","created":"2022-12-18","cited_by_count":22,"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":"2109.03160","title":"How much pretraining data do language models need to learn syntax?","created":"2021-09-07","cited_by_count":21,"area":null},{"id":"2505.16002","title":"Causal Interventions Reveal Shared Structure Across English Filler-Gap Constructions","created":"2025-05-21","cited_by_count":21,"area":null},{"id":"2109.12036","title":"Transformers Generalize Linearly","created":"2021-09-24","cited_by_count":19,"area":null},{"id":"2310.19089","title":"Pushdown Layers: Encoding Recursive Structure in Transformer Language Models","created":"2023-10-29","cited_by_count":19,"area":null},{"id":"2309.06085","title":"BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models","created":"2023-09-12","cited_by_count":18,"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":"2510.16227","title":"What Can String Probability Tell Us About Grammaticality?","created":"2025-10-17","cited_by_count":16,"area":null},{"id":"2105.03495","title":"Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models","created":"2021-05-07","cited_by_count":15,"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":"2402.11192","title":"I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses","created":"2024-02-17","cited_by_count":15,"area":null},{"id":"2210.14328","title":"Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models","created":"2022-10-25","cited_by_count":14,"area":null},{"id":"2311.09033","title":"MELA: Multilingual Evaluation of Linguistic Acceptability","created":"2023-11-15","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":"2411.06096","title":"A Systematic Assessment of Language Models with Linguistic Minimal Pairs in Chinese","created":"2024-11-09","cited_by_count":13,"area":null},{"id":"2105.14822","title":"Effective Batching for Recurrent Neural Network Grammars","created":"2021-05-31","cited_by_count":12,"area":null},{"id":"2502.19737","title":"XCOMPS: A Multilingual Benchmark of Conceptual Minimal Pairs","created":"2025-02-27","cited_by_count":12,"area":null},{"id":"2311.01386","title":"Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics","created":"2023-11-02","cited_by_count":11,"area":null},{"id":"2311.04547","title":"Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures","created":"2023-11-08","cited_by_count":11,"area":null},{"id":"2410.22906","title":"From Babble to Words: Pre-Training Language Models on Continuous Streams of Phonemes","created":"2024-10-30","cited_by_count":11,"area":null},{"id":"2503.11302","title":"Are formal and functional linguistic mechanisms dissociated in language models?","created":"2025-03-14","cited_by_count":11,"area":null},{"id":"2510.04764","title":"Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models","created":"2025-10-06","cited_by_count":11,"area":null},{"id":"2201.05613","title":"The Dark Side of the Language: Pre-trained Transformers in the DarkNet","created":"2022-01-14","cited_by_count":10,"area":null},{"id":"2401.05300","title":"I am a Strange Dataset: Metalinguistic Tests for Language Models","created":"2024-01-10","cited_by_count":10,"area":null},{"id":"2403.08293","title":"Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale","created":"2024-03-13","cited_by_count":10,"area":null},{"id":"2411.07474","title":"Controlled Evaluation of Syntactic Knowledge in Multilingual Language Models","created":"2024-11-12","cited_by_count":10,"area":null},{"id":"2502.07687","title":"Large Language Models as Proxies for Theories of Human Linguistic Cognition","created":"2025-02-11","cited_by_count":10,"area":null},{"id":"2304.04758","title":"Expectations over Unspoken Alternatives Predict Pragmatic Inferences","created":"2023-04-07","cited_by_count":9,"area":null},{"id":"2105.04688","title":"Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models","created":"2021-05-10","cited_by_count":8,"area":null},{"id":"2106.06849","title":"Can Transformer Language Models Predict Psychometric Properties?","created":"2021-06-12","cited_by_count":8,"area":null},{"id":"2110.07240","title":"Causal Transformers Perform Below Chance on Recursive Nested Constructions, Unlike Humans","created":"2021-10-14","cited_by_count":8,"area":null},{"id":"2211.14673","title":"Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex","created":"2022-11-26","cited_by_count":8,"area":null},{"id":"2407.17406","title":"Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models","created":"2024-07-24","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":"2406.09012","title":"Bayesian Statistical Modeling with Predictors from LLMs","created":"2024-06-13","cited_by_count":7,"area":null},{"id":"2110.08887","title":"Schr\\\"odinger's Tree -- On Syntax and Neural Language Models","created":"2021-10-17","cited_by_count":6,"area":null},{"id":"2308.08628","title":"Learning the meanings of function words from grounded language using a visual question answering model","created":"2023-08-16","cited_by_count":6,"area":null},{"id":"2106.01207","title":"Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning","created":"2021-06-02","cited_by_count":5,"area":null},{"id":"2109.11058","title":"Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models","created":"2021-09-22","cited_by_count":5,"area":null},{"id":"2205.06203","title":"Predicting Human Psychometric Properties Using Computational Language Models","created":"2022-05-12","cited_by_count":5,"area":null},{"id":"2206.11184","title":"Towards Unsupervised Content Disentanglement in Sentence Representations via Syntactic Roles","created":"2022-06-22","cited_by_count":5,"area":null},{"id":"2311.18761","title":"Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior?","created":"2023-11-30","cited_by_count":5,"area":null},{"id":"2406.14678","title":"Evaluating Contextualized Representations of (Spanish) Ambiguous Words: A New Lexical Resource and Empirical Analysis","created":"2024-06-20","cited_by_count":5,"area":null},{"id":"2509.15655","title":"Layer-wise Minimal Pair Probing Reveals Contextual Grammatical-Conceptual Hierarchy in Speech Representations","created":"2025-09-19","cited_by_count":5,"area":null},{"id":"2604.07569","title":"Learning is Forgetting: LLM Training As Lossy Compression","created":"2026-04-08","cited_by_count":5,"area":null},{"id":"2104.10516","title":"Improving BERT Pretraining with Syntactic Supervision","created":"2021-04-21","cited_by_count":4,"area":null},{"id":"2205.12302","title":"Garden-Path Traversal in GPT-2","created":"2022-05-24","cited_by_count":4,"area":null},{"id":"2210.16228","title":"Probing for targeted syntactic knowledge through grammatical error detection","created":"2022-10-28","cited_by_count":4,"area":null},{"id":"2311.15211","title":"Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation","created":"2023-11-26","cited_by_count":4,"area":null},{"id":"2402.12691","title":"Tree-Planted Transformers: Unidirectional Transformer Language Models with Implicit Syntactic Supervision","created":"2024-02-20","cited_by_count":4,"area":null},{"id":"2411.07533","title":"Large Language Models as Neurolinguistic Subjects: Discrepancy between Performance and Competence","created":"2024-11-12","cited_by_count":4,"area":null},{"id":"2412.05353","title":"Incremental Sentence Processing Mechanisms in Autoregressive Transformer Language Models","created":"2024-12-06","cited_by_count":4,"area":null},{"id":"2502.11469","title":"If Attention Serves as a Cognitive Model of Human Memory Retrieval, What is the Plausible Memory Representation?","created":"2025-02-17","cited_by_count":4,"area":null},{"id":"2503.18751","title":"Construction Identification and Disambiguation Using BERT: A Case Study of NPN","created":"2025-03-24","cited_by_count":4,"area":null},{"id":"2506.04534","title":"Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs","created":"2025-06-05","cited_by_count":4,"area":null},{"id":"2201.10262","title":"Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language","created":"2022-01-25","cited_by_count":3,"area":null},{"id":"2205.05943","title":"Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs","created":"2022-05-12","cited_by_count":3,"area":null},{"id":"2209.10583","title":"Representing Affect Information in Word Embeddings","created":"2022-09-21","cited_by_count":3,"area":null},{"id":"2305.16917","title":"Large Language Models Are Partially Primed in Pronoun Interpretation","created":"2023-05-26","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":"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":"2506.01205","title":"Trick or Neat: Adversarial Ambiguity and Language Model Evaluation","created":"2025-06-01","cited_by_count":3,"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}],"next_cursor":"100"}