{"total":110,"rows":[{"id":"2204.11454","title":"Natural Language to Code Translation with Execution","created":"2022-04-25","cited_by_count":124,"area":null},{"id":"2306.12672","title":"From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought","created":"2023-06-22","cited_by_count":119,"area":"wm"},{"id":"2206.06888","title":"CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation","created":"2022-06-14","cited_by_count":87,"area":null},{"id":"2109.05153","title":"Natural SQL: Making SQL Easier to Infer from Natural Language Specifications","created":"2021-09-11","cited_by_count":68,"area":null},{"id":"2104.07478","title":"Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations","created":"2021-04-15","cited_by_count":55,"area":null},{"id":"2209.15565","title":"Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions","created":"2022-09-30","cited_by_count":54,"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":"2112.07610","title":"Improving Compositional Generalization with Latent Structure and Data Augmentation","created":"2021-12-14","cited_by_count":46,"area":null},{"id":"2303.08769","title":"Prompting Large Language Models With the Socratic Method","created":"2023-02-17","cited_by_count":43,"area":null},{"id":"2310.09748","title":"Large Language Model-Aware In-Context Learning for Code Generation","created":"2023-10-15","cited_by_count":43,"area":null},{"id":"2106.15339","title":"SpreadsheetCoder: Formula Prediction from Semi-structured Context","created":"2021-06-26","cited_by_count":41,"area":null},{"id":"2207.05270","title":"A Survey on Table Question Answering: Recent Advances","created":"2022-07-12","cited_by_count":41,"area":null},{"id":"2105.08206","title":"LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer","created":"2021-05-18","cited_by_count":40,"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":"2104.04689","title":"ShadowGNN: Graph Projection Neural Network for Text-to-SQL Parser","created":"2021-04-10","cited_by_count":35,"area":null},{"id":"2403.02951","title":"SQLBench: A Comprehensive Evaluation for Text-to-SQL Capabilities of Large Language Models","created":"2024-03-05","cited_by_count":32,"area":null},{"id":"2305.00909","title":"Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation","created":"2023-04-28","cited_by_count":27,"area":null},{"id":"2310.17894","title":"Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey","created":"2023-10-27","cited_by_count":27,"area":null},{"id":"2403.09732","title":"PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency","created":"2024-03-13","cited_by_count":27,"area":null},{"id":"2103.04399","title":"Improving Text-to-SQL with Schema Dependency Learning","created":"2021-03-07","cited_by_count":25,"area":null},{"id":"2106.10158","title":"Learning to Complete Code with Sketches","created":"2021-06-18","cited_by_count":23,"area":null},{"id":"2209.04994","title":"Knowledge Base Question Answering: A Semantic Parsing Perspective","created":"2022-09-12","cited_by_count":22,"area":null},{"id":"2306.14722","title":"FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering","created":"2023-06-26","cited_by_count":21,"area":null},{"id":"2203.07781","title":"UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL","created":"2022-03-15","cited_by_count":20,"area":null},{"id":"2501.10858","title":"Reliable Text-to-SQL with Adaptive Abstention","created":"2025-01-18","cited_by_count":20,"area":null},{"id":"2104.07554","title":"Zero-Shot Cross-lingual Semantic Parsing","created":"2021-04-15","cited_by_count":19,"area":null},{"id":"2109.07323","title":"FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining","created":"2021-09-15","cited_by_count":19,"area":null},{"id":"2104.07275","title":"Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsing","created":"2021-04-15","cited_by_count":18,"area":null},{"id":"2109.04319","title":"Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data","created":"2021-09-09","cited_by_count":17,"area":"synth"},{"id":"2104.13100","title":"Shellcode_IA32: A Dataset for Automatic Shellcode Generation","created":"2021-04-27","cited_by_count":16,"area":null},{"id":"2101.01686","title":"Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing","created":"2021-01-05","cited_by_count":15,"area":null},{"id":"2111.05825","title":"A Two-Stage Approach towards Generalization in Knowledge Base Question Answering","created":"2021-11-10","cited_by_count":15,"area":null},{"id":"2112.06311","title":"Weakly Supervised Text-to-SQL Parsing through Question Decomposition","created":"2021-12-12","cited_by_count":15,"area":null},{"id":"2102.01563","title":"On Robustness of Neural Semantic Parsers","created":"2021-02-02","cited_by_count":14,"area":null},{"id":"2104.08041","title":"Cost-effective End-to-end Information Extraction for Semi-structured Document Images","created":"2021-04-16","cited_by_count":14,"area":null},{"id":"2501.09310","title":"Understanding, Detecting, and Repairing Real-World In-Context-Learning-Based Text-to-SQL Errors","created":"2025-01-16","cited_by_count":14,"area":null},{"id":"2208.10091","title":"Incorporating Domain Knowledge through Task Augmentation for Front-End JavaScript Code Generation","created":"2022-08-22","cited_by_count":11,"area":null},{"id":"2210.02659","title":"Explainable Abuse Detection as Intent Classification and Slot Filling","created":"2022-10-06","cited_by_count":11,"area":null},{"id":"2303.10138","title":"Generate, Transform, Answer: Question Specific Tool Synthesis for Tabular Data","created":"2023-03-17","cited_by_count":11,"area":null},{"id":"2103.07766","title":"Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs","created":"2021-03-13","cited_by_count":10,"area":null},{"id":"2105.14796","title":"Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning","created":"2021-05-31","cited_by_count":10,"area":null},{"id":"2106.00261","title":"Exploring Dynamic Selection of Branch Expansion Orders for Code Generation","created":"2021-06-01","cited_by_count":10,"area":null},{"id":"2106.04072","title":"Coarse-to-Fine Curriculum Learning","created":"2021-06-08","cited_by_count":10,"area":null},{"id":"2109.00269","title":"Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs","created":"2021-09-01","cited_by_count":10,"area":null},{"id":"2207.12571","title":"Innovations in Neural Data-to-text Generation: A Survey","created":"2022-07-25","cited_by_count":10,"area":null},{"id":"2109.05186","title":"Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers","created":"2021-09-11","cited_by_count":9,"area":null},{"id":"2111.14703","title":"Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture","created":"2021-11-14","cited_by_count":9,"area":null},{"id":"2105.03317","title":"Toward Code Generation: A Survey and Lessons from Semantic Parsing","created":"2021-04-26","cited_by_count":8,"area":null},{"id":"2106.04447","title":"Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation","created":"2021-06-08","cited_by_count":8,"area":null},{"id":"2108.00804","title":"Relation Aware Semi-autoregressive Semantic Parsing for NL2SQL","created":"2021-08-02","cited_by_count":8,"area":null},{"id":"2101.10708","title":"Few-Shot Semantic Parsing for New Predicates","created":"2021-01-26","cited_by_count":7,"area":null},{"id":"2106.03469","title":"Multilingual Neural Semantic Parsing for Low-Resourced Languages","created":"2021-06-07","cited_by_count":7,"area":null},{"id":"2110.07572","title":"LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing","created":"2021-10-14","cited_by_count":7,"area":null},{"id":"2111.10541","title":"Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph","created":"2021-11-20","cited_by_count":7,"area":null},{"id":"2202.00901","title":"Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing","created":"2022-02-02","cited_by_count":7,"area":null},{"id":"2203.10854","title":"Paraphrasing Techniques for Maritime QA system","created":"2022-03-21","cited_by_count":7,"area":null},{"id":"2310.08759","title":"Question Answering for Electronic Health Records: A Scoping Review of datasets and models","created":"2023-10-12","cited_by_count":7,"area":null},{"id":"2406.12104","title":"End-to-end Text-to-SQL Generation within an Analytics Insight Engine","created":"2024-06-17","cited_by_count":7,"area":null},{"id":"2101.00259","title":"Code Generation from Natural Language with Less Prior and More Monolingual Data","created":"2021-01-01","cited_by_count":6,"area":null},{"id":"2305.15338","title":"Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing","created":"2023-05-24","cited_by_count":6,"area":null},{"id":"2112.08735","title":"Pay More Attention to History: A Context Modelling Strategy for Conversational Text-to-SQL","created":"2021-12-16","cited_by_count":5,"area":null},{"id":"2210.01425","title":"Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing","created":"2022-10-04","cited_by_count":5,"area":null},{"id":"2508.01984","title":"IMoRe: Implicit Program-Guided Reasoning for Human Motion Q&A","created":"2025-08-04","cited_by_count":5,"area":null},{"id":"2202.00475","title":"From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction","created":"2022-01-16","cited_by_count":4,"area":null},{"id":"2204.09453","title":"Event Transition Planning for Open-ended Text Generation","created":"2022-04-20","cited_by_count":4,"area":null},{"id":"2211.16740","title":"Explicit Knowledge Transfer for Weakly-Supervised Code Generation","created":"2022-11-30","cited_by_count":4,"area":"distill"},{"id":"2310.04381","title":"Hermes: Unlocking Security Analysis of Cellular Network Protocols by Synthesizing Finite State Machines from Natural Language Specifications","created":"2023-10-06","cited_by_count":4,"area":null},{"id":"2109.05395","title":"Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning","created":"2021-09-12","cited_by_count":3,"area":null},{"id":"2202.04847","title":"A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective","created":"2022-02-10","cited_by_count":3,"area":null},{"id":"2202.07806","title":"Code Generation for Unknown Libraries via Reading API Documentations","created":"2022-02-16","cited_by_count":3,"area":null},{"id":"2211.15363","title":"On the Security Vulnerabilities of Text-to-SQL Models","created":"2022-11-28","cited_by_count":3,"area":null},{"id":"2212.05982","title":"Real-World Compositional Generalization with Disentangled Sequence-to-Sequence Learning","created":"2022-12-12","cited_by_count":3,"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":"2305.13504","title":"Neural Machine Translation for Code Generation","created":"2023-05-22","cited_by_count":3,"area":null},{"id":"2305.17369","title":"Modularized Zero-shot VQA with Pre-trained Models","created":"2023-05-27","cited_by_count":3,"area":null},{"id":"2312.10771","title":"kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning","created":"2023-12-17","cited_by_count":3,"area":null},{"id":"2502.03992","title":"Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering","created":"2025-02-06","cited_by_count":3,"area":null},{"id":"2109.13066","title":"Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions","created":"2021-09-15","cited_by_count":2,"area":null},{"id":"2204.07835","title":"What If: Generating Code to Answer Simulation Questions","created":"2022-04-16","cited_by_count":2,"area":null},{"id":"2303.17161","title":"TreePiece: Faster Semantic Parsing via Tree Tokenization","created":"2023-03-30","cited_by_count":2,"area":null},{"id":"2305.04346","title":"Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing","created":"2023-05-07","cited_by_count":2,"area":null},{"id":"2305.06164","title":"Conversational Semantic Parsing using Dynamic Context Graphs","created":"2023-05-04","cited_by_count":2,"area":null},{"id":"2404.10268","title":"Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation","created":"2024-04-16","cited_by_count":2,"area":null},{"id":"2106.09588","title":"End-to-End Cross-Domain Text-to-SQL Semantic Parsing with Auxiliary Task","created":"2021-06-17","cited_by_count":1,"area":null},{"id":"2109.00702","title":"ShopTalk: A System for Conversational Faceted Search","created":"2021-09-02","cited_by_count":1,"area":null},{"id":"2111.09486","title":"Linking-Enhanced Pre-Training for Table Semantic Parsing","created":"2021-11-18","cited_by_count":1,"area":null},{"id":"2206.02737","title":"Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system","created":"2022-06-06","cited_by_count":1,"area":null},{"id":"2211.04569","title":"Toward a Neural Semantic Parsing System for EHR Question Answering","created":"2022-11-08","cited_by_count":1,"area":null},{"id":"2212.13036","title":"Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment","created":"2022-12-26","cited_by_count":1,"area":null},{"id":"2301.00399","title":"Semantic Operator Prediction and Applications","created":"2023-01-01","cited_by_count":1,"area":null},{"id":"2301.09809","title":"Low-Resource Compositional Semantic Parsing with Concept Pretraining","created":"2023-01-24","cited_by_count":1,"area":null},{"id":"2303.09062","title":"Knowledge Transfer for Pseudo-code Generation from Low Resource Programming Language","created":"2023-03-16","cited_by_count":1,"area":null},{"id":"2305.14104","title":"Out-of-Distribution Generalization in Text Classification: Past, Present, and Future","created":"2023-05-23","cited_by_count":1,"area":null},{"id":"2401.10364","title":"Using LLM such as ChatGPT for Designing and Implementing a RISC Processor: Execution,Challenges and Limitations","created":"2024-01-18","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":"2604.17019","title":"Mini-BEHAVIOR-Gran: Revealing U-Shaped Effects of Instruction Granularity on Language-Guided Embodied Agents","created":"2026-04-18","cited_by_count":1,"area":null},{"id":"2607.24040","title":"Pointer-Augmented Autoregressive Generation of Patent Claims with Joint Topology and Content Decoding","created":"2026-07-27","cited_by_count":1,"area":null},{"id":"2608.21023","title":"Scaling Unsupervised Word Alignment to Documents via Structural Constraints","created":"2026-08-21","cited_by_count":1,"area":null},{"id":"2104.04087","title":"A Sketch-Based Neural Model for Generating Commit Messages from Diffs","created":"2021-04-08","cited_by_count":0,"area":null},{"id":"2109.00916","title":"Coarse-To-Fine And Cross-Lingual ASR Transfer","created":"2021-09-02","cited_by_count":0,"area":null}],"next_cursor":"100"}