{"total":22,"rows":[{"id":"2404.10150","title":"TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition","created":"2024-04-15","cited_by_count":39,"area":"lr"},{"id":"2402.08259","title":"A Survey of Table Reasoning with Large Language Models","created":"2024-02-13","cited_by_count":29,"area":"lr"},{"id":"2511.19661","title":"CodeV: Code with Images for Faithful Visual Reasoning via Tool-Aware Policy Optimization","created":"2025-11-24","cited_by_count":26,"area":"lr"},{"id":"2506.10380","title":"TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning","created":"2025-06-12","cited_by_count":24,"area":"lr"},{"id":"2403.02177","title":"ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context","created":"2024-03-04","cited_by_count":23,"area":"lr"},{"id":"2407.05952","title":"H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables","created":"2024-06-29","cited_by_count":21,"area":"lr"},{"id":"2405.13966","title":"On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models","created":"2024-05-22","cited_by_count":17,"area":"lr"},{"id":"2406.17961","title":"NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization","created":"2024-06-25","cited_by_count":16,"area":"lr"},{"id":"2412.04272","title":"PoTable: Towards Systematic Thinking via Plan-then-Execute Stage Reasoning on Tables","created":"2024-12-05","cited_by_count":14,"area":"lr"},{"id":"2409.11724","title":"TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning","created":"2024-09-18","cited_by_count":10,"area":"lr"},{"id":"2407.03061","title":"ALTER: Augmentation for Large-Table-Based Reasoning","created":"2024-07-03","cited_by_count":9,"area":"lr"},{"id":"2505.18961","title":"Weaver: Interweaving SQL and LLM for Table Reasoning","created":"2025-05-25","cited_by_count":8,"area":"lr"},{"id":"2511.02219","title":"TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular Data","created":"2025-11-04","cited_by_count":5,"area":"lr"},{"id":"2506.05813","title":"MAPLE: Multi-Agent Adaptive Planning with Long-Term Memory for Table Reasoning","created":"2025-06-06","cited_by_count":4,"area":"lr"},{"id":"2411.01093","title":"TabVer: Tabular Fact Verification with Natural Logic","created":"2024-11-02","cited_by_count":3,"area":"lr"},{"id":"2505.23667","title":"Formula-R1: Incentivizing LLM Reasoning over Complex Tables with Numerical Computation via Formula-Driven Reinforcement Learning","created":"2025-05-29","cited_by_count":3,"area":"lr"},{"id":"2505.24377","title":"LLM Inference Enhanced by External Knowledge: A Survey","created":"2025-05-30","cited_by_count":3,"area":"lr"},{"id":"2508.18676","title":"Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding","created":"2025-08-26","cited_by_count":2,"area":"lr"},{"id":"2601.07280","title":"ReasonTabQA: A Comprehensive Benchmark for Table Question Answering from Real World Industrial Scenarios","created":"2026-01-12","cited_by_count":1,"area":"lr"},{"id":"2602.17937","title":"Analyzing LLM Instruction Optimization for Tabular Fact Verification","created":"2026-02-20","cited_by_count":1,"area":"lr"},{"id":"2604.08999","title":"ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering","created":"2026-04-10","cited_by_count":0,"area":"lr"},{"id":"2607.22633","title":"Evolving from Lessons: Skill-Augmented Table Graph Reasoning for Operation-wise Table Question Answering","created":"2026-06-20","cited_by_count":0,"area":"lr"}],"next_cursor":null}