{"total":28,"rows":[{"id":"2104.08768","title":"Constrained Language Models Yield Few-Shot Semantic Parsers","created":"2021-04-18","cited_by_count":163,"area":null},{"id":"2406.08426","title":"Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL","created":"2024-06-12","cited_by_count":120,"area":null},{"id":"2107.02794","title":"Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning","created":"2021-07-06","cited_by_count":85,"area":null},{"id":"2106.06600","title":"Break-It-Fix-It: Unsupervised Learning for Program Repair","created":"2021-06-11","cited_by_count":71,"area":null},{"id":"2208.10099","title":"Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect","created":"2022-08-22","cited_by_count":47,"area":null},{"id":"2205.07381","title":"SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models","created":"2022-05-15","cited_by_count":38,"area":null},{"id":"2303.08006","title":"Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification","created":"2023-03-09","cited_by_count":38,"area":null},{"id":"2103.14540","title":"NL-EDIT: Correcting semantic parse errors through natural language interaction","created":"2021-03-26","cited_by_count":33,"area":null},{"id":"2109.02575","title":"Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization","created":"2021-09-06","cited_by_count":27,"area":null},{"id":"2110.08525","title":"The Power of Prompt Tuning for Low-Resource Semantic Parsing","created":"2021-10-16","cited_by_count":21,"area":null},{"id":"2106.06228","title":"From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding","created":"2021-06-11","cited_by_count":14,"area":null},{"id":"2110.08381","title":"On The Ingredients of an Effective Zero-shot Semantic Parser","created":"2021-10-15","cited_by_count":13,"area":null},{"id":"2205.12078","title":"GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation","created":"2022-05-24","cited_by_count":13,"area":null},{"id":"2311.09818","title":"SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models","created":"2023-11-16","cited_by_count":13,"area":null},{"id":"2209.12577","title":"Meta-Learning a Cross-lingual Manifold for Semantic Parsing","created":"2022-09-26","cited_by_count":11,"area":null},{"id":"2311.09519","title":"Leveraging Code to Improve In-context Learning for Semantic Parsing","created":"2023-11-16","cited_by_count":10,"area":null},{"id":"2203.10854","title":"Paraphrasing Techniques for Maritime QA system","created":"2022-03-21","cited_by_count":7,"area":null},{"id":"2402.08073","title":"Grounding Data Science Code Generation with Input-Output Specifications","created":"2024-02-12","cited_by_count":7,"area":null},{"id":"2203.12751","title":"ThingTalk: An Extensible, Executable Representation Language for Task-Oriented Dialogues","created":"2022-03-23","cited_by_count":6,"area":null},{"id":"2204.14243","title":"Training Naturalized Semantic Parsers with Very Little Data","created":"2022-04-29","cited_by_count":6,"area":null},{"id":"2305.12737","title":"The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning","created":"2023-05-22","cited_by_count":3,"area":null},{"id":"2305.14202","title":"Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata","created":"2023-05-23","cited_by_count":2,"area":null},{"id":"2310.14174","title":"An In-Context Schema Understanding Method for Knowledge Base Question Answering","created":"2023-10-22","cited_by_count":1,"area":null},{"id":"2403.08352","title":"Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods","created":"2024-03-13","cited_by_count":1,"area":null},{"id":"2410.00414","title":"Semantic Parsing with Candidate Expressions for Knowledge Base Question Answering","created":"2024-10-01","cited_by_count":1,"area":null},{"id":"2510.24102","title":"Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks","created":"2025-10-28","cited_by_count":1,"area":null},{"id":"2312.13264","title":"dIR -- Discrete Information Retrieval: Conversational Search over Unstructured (and Structured) Data with Large Language Models","created":"2023-12-20","cited_by_count":0,"area":null},{"id":"2403.09702","title":"Generator-Guided Crowd Reaction Assessment","created":"2024-03-08","cited_by_count":0,"area":null}],"next_cursor":null}