{"total":18,"rows":[{"id":"2210.14199","title":"Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models","created":"2022-10-25","cited_by_count":84,"area":null},{"id":"2305.19234","title":"Grammar Prompting for Domain-Specific Language Generation with Large Language Models","created":"2023-05-30","cited_by_count":58,"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":"2110.06865","title":"Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments","created":"2021-10-13","cited_by_count":14,"area":null},{"id":"2203.04665","title":"Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing","created":"2022-03-09","cited_by_count":14,"area":null},{"id":"2205.00484","title":"Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs","created":"2022-05-01","cited_by_count":10,"area":null},{"id":"2211.07906","title":"Hierarchical Phrase-based Sequence-to-Sequence Learning","created":"2022-11-15","cited_by_count":7,"area":null},{"id":"2212.09140","title":"Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars","created":"2022-12-18","cited_by_count":7,"area":null},{"id":"2309.16319","title":"Augmenting Transformers with Recursively Composed Multi-grained Representations","created":"2023-09-28","cited_by_count":5,"area":null},{"id":"2210.12309","title":"Learning a Grammar Inducer from Massive Uncurated Instructional Videos","created":"2022-10-22","cited_by_count":3,"area":null},{"id":"2310.14997","title":"Simple Hardware-Efficient PCFGs with Independent Left and Right Productions","created":"2023-10-23","cited_by_count":3,"area":null},{"id":"2303.08809","title":"Cascading and Direct Approaches to Unsupervised Constituency Parsing on Spoken Sentences","created":"2023-03-15","cited_by_count":2,"area":null},{"id":"2204.03619","title":"Modeling Label Correlations for Second-Order Semantic Dependency Parsing with Mean-Field Inference","created":"2022-04-07","cited_by_count":1,"area":null},{"id":"2407.16181","title":"Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction","created":"2024-07-23","cited_by_count":1,"area":null},{"id":"2410.02558","title":"Improving Unsupervised Constituency Parsing via Maximizing Semantic Information","created":"2024-10-03","cited_by_count":1,"area":null},{"id":"2410.04074","title":"On Eliciting Syntax from Language Models via Hashing","created":"2024-10-05","cited_by_count":0,"area":null},{"id":"2509.20734","title":"Probability Distribution Collapse: A Critical Bottleneck to Compact Unsupervised Neural Grammar Induction","created":"2025-09-25","cited_by_count":0,"area":null},{"id":"2607.08063","title":"Holographic Neural PCFG for Unsupervised Parsing","created":"2026-07-09","cited_by_count":0,"area":null}],"next_cursor":null}