[NAACL 2024] TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition
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Updated
Jan 5, 2026 - Python
[NAACL 2024] TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition
[NAACL 2025] This is the official code for the paper "H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables"
(EMNLP 2025) Weaver: A modular agentic pipeline that dynamically combines SQL and LLMs for advanced table-based question answering
[EMNLP 2024] NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization
MMTabReal is a benchmark suite for multimodal table reasoning on real-world tables with mixed text, images, charts, maps, and visual encodings. It includes curated QA pairs, baseline implementations, and evaluation scripts for multimodal table understanding research.
(IJCNLP-AACL 2025) MAMMQA: Rethinking Information Synthesis in Multimodal Question Answering from a Multi-Agent Perspective
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