{"total":20,"rows":[{"id":"2411.08516","title":"Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding","created":"2024-11-13","cited_by_count":20,"area":null},{"id":"2412.12386","title":"Interpretable LLM-based Table Question Answering","created":"2024-12-16","cited_by_count":18,"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":"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":"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":"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":"2501.13288","title":"Task-Oriented Automatic Fact-Checking with Frame-Semantics","created":"2025-01-23","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":"2508.17028","title":"Improving Table Understanding with LLMs and Entity-Oriented Search","created":"2025-08-23","cited_by_count":3,"area":null},{"id":"2408.06423","title":"Evaluating LLMs on Entity Disambiguation in Tables","created":"2024-08-12","cited_by_count":2,"area":null},{"id":"2502.13422","title":"Towards Question Answering over Large Semi-structured Tables","created":"2025-02-19","cited_by_count":2,"area":null},{"id":"2502.14820","title":"eC-Tab2Text: Aspect-Based Text Generation from e-Commerce Product Tables","created":"2025-02-20","cited_by_count":2,"area":null},{"id":"2508.17005","title":"Planning for Success: Exploring LLM Long-term Planning Capabilities in Table Understanding","created":"2025-08-23","cited_by_count":2,"area":null},{"id":"2505.17565","title":"p2-TQA: A Process-based Preference Learning Framework for Self-Improving Table Question Answering Models","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2606.21685","title":"TACO: Task-Aware Column Description Generation Using LLMs","created":"2026-06-19","cited_by_count":1,"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":"2601.17232","title":"Frame-Guided Synthetic Claim Generation for Automatic Fact-Checking Using High-Volume Tabular Data","created":"2026-01-23","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":"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}