{"total":36,"rows":[{"id":"2405.12819","title":"Large Language Models Meet NLP: A Survey","created":"2024-05-21","cited_by_count":103,"area":null},{"id":"2403.19318","title":"TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios","created":"2024-03-28","cited_by_count":77,"area":null},{"id":"2402.05121","title":"Large Language Model for Table Processing: A Survey","created":"2024-02-04","cited_by_count":52,"area":null},{"id":"2410.04739","title":"TableRAG: Million-Token Table Understanding with Language Models","created":"2024-10-07","cited_by_count":41,"area":null},{"id":"2501.19378","title":"TableMaster: A Recipe to Advance Table Understanding with Language Models","created":"2025-01-31","cited_by_count":18,"area":null},{"id":"2411.19504","title":"TQA-Bench: Evaluating LLMs for Multi-Table Question Answering","created":"2024-11-29","cited_by_count":17,"area":null},{"id":"2404.18585","title":"FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering","created":"2024-04-29","cited_by_count":16,"area":null},{"id":"2506.03949","title":"TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question Answering","created":"2025-06-04","cited_by_count":15,"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":"2406.10382","title":"Efficient Prompting for LLM-based Generative Internet of Things","created":"2024-06-14","cited_by_count":12,"area":null},{"id":"2406.00562","title":"SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing","created":"2024-06-01","cited_by_count":11,"area":null},{"id":"2508.18190","title":"ST-Raptor: LLM-Powered Semi-Structured Table Question Answering","created":"2025-08-25","cited_by_count":11,"area":null},{"id":"2509.17680","title":"When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables","created":"2025-09-22","cited_by_count":10,"area":null},{"id":"2601.03851","title":"Rethinking Table Pruning in TableQA: From Sequential Revisions to Gold Trajectory-Supervised Parallel Search","created":"2026-01-07","cited_by_count":8,"area":null},{"id":"2503.12345","title":"General Table Question Answering via Answer-Formula Joint Generation","created":"2025-03-16","cited_by_count":7,"area":null},{"id":"2510.09671","title":"Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation","created":"2025-10-08","cited_by_count":5,"area":null},{"id":"2510.14296","title":"Rethinking Schema Linking: A Context-Aware Bidirectional Retrieval Approach for Text-to-SQL","created":"2025-10-16","cited_by_count":4,"area":null},{"id":"2405.15231","title":"Cardinality Estimation on Hyper-relational Knowledge Graphs","created":"2024-05-24","cited_by_count":3,"area":null},{"id":"2409.19700","title":"2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language Models","created":"2024-09-29","cited_by_count":3,"area":null},{"id":"2412.07629","title":"Piece of Table: A Divide-and-Conquer Approach for Selecting Subtables in Table Question Answering","created":"2024-12-10","cited_by_count":3,"area":null},{"id":"2508.16265","title":"M3TQA: Massively Multilingual Multitask Table Question Answering","created":"2025-08-22","cited_by_count":3,"area":null},{"id":"2412.07214","title":"Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models","created":"2024-12-10","cited_by_count":2,"area":null},{"id":"2408.09434","title":"HySem: A context length optimized LLM pipeline for unstructured tabular extraction","created":"2024-08-18","cited_by_count":1,"area":null},{"id":"2504.20047","title":"HCT-QA: A Benchmark for Question Answering on Human-Centric Tables","created":"2025-03-09","cited_by_count":1,"area":null},{"id":"2505.10714","title":"GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data?","created":"2025-05-15","cited_by_count":1,"area":null},{"id":"2507.22829","title":"Beyond Natural Language Plans: Structure-Aware Planning for Query-Focused Table Summarization","created":"2025-07-30","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":"2502.16556","title":"Beyond Words: How Large Language Models Perform in Quantitative Management Problem-Solving","created":"2025-02-23","cited_by_count":0,"area":null},{"id":"2503.00435","title":"AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question Answering","created":"2025-03-01","cited_by_count":0,"area":null},{"id":"2505.18122","title":"UNJOIN: Enhancing Multi-Table Text-to-SQL Generation via Schema Simplification","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2508.18758","title":"Text to Query Plans for Question Answering on Large Tables","created":"2025-08-26","cited_by_count":0,"area":null},{"id":"2601.03137","title":"Accurate Table Question Answering with Accessible LLMs","created":"2026-01-06","cited_by_count":0,"area":null},{"id":"2602.00996","title":"DeALOG: Decentralized Multi-Agents Log-Mediated Reasoning Framework","created":"2026-02-01","cited_by_count":0,"area":null},{"id":"2602.22721","title":"Replacing Multi-Step Assembly of Data Preparation Pipelines with One-Step LLM Pipeline Generation for Table QA","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2606.11537","title":"MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning","created":"2026-06-10","cited_by_count":0,"area":null},{"id":"2609.03395","title":"TabScope: Question-Adaptive Scope Selection for Table Question Answering","created":"2026-09-03","cited_by_count":0,"area":null}],"next_cursor":null}