{"total":17,"rows":[{"id":"2406.10833","title":"A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery","created":"2024-06-16","cited_by_count":96,"area":null},{"id":"2305.12586","title":"Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies","created":"2023-05-21","cited_by_count":45,"area":null},{"id":"2306.14321","title":"RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations","created":"2023-06-25","cited_by_count":43,"area":null},{"id":"2402.01155","title":"CABINET: Content Relevance based Noise Reduction for Table Question Answering","created":"2024-02-02","cited_by_count":23,"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":"2305.14987","title":"Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios","created":"2023-05-24","cited_by_count":12,"area":null},{"id":"2310.00789","title":"Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Tasks","created":"2023-10-01","cited_by_count":10,"area":null},{"id":"2409.16682","title":"SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA","created":"2024-09-25","cited_by_count":9,"area":null},{"id":"2302.02962","title":"LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control","created":"2023-02-06","cited_by_count":8,"area":null},{"id":"2503.11921","title":"RePanda: Pandas-powered Tabular Verification and Reasoning","created":"2025-03-14","cited_by_count":5,"area":null},{"id":"2305.14303","title":"QTSumm: Query-Focused Summarization over Tabular Data","created":"2023-05-23","cited_by_count":4,"area":null},{"id":"2412.12839","title":"From An LLM Swarm To A PDDL-Empowered HIVE: Planning Self-Executed Instructions In A Multi-Modal Jungle","created":"2024-12-17","cited_by_count":4,"area":null},{"id":"2503.11858","title":"OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs","created":"2025-03-14","cited_by_count":4,"area":null},{"id":"2305.11826","title":"ReTAG: Reasoning Aware Table to Analytic Text Generation","created":"2023-05-19","cited_by_count":3,"area":null},{"id":"2401.15555","title":"Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion","created":"2024-01-28","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":"2402.13288","title":"Training Table Question Answering via SQL Query Decomposition","created":"2024-02-19","cited_by_count":1,"area":null}],"next_cursor":null}