| ARTEMIS-DA: An Advanced Reasoning and Transformation Engine for Multi-Step Insight Synthesis in Data Analytics | | 93.1 | | ARTEMIS-DA | 2024-12-18 |
| Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning | ✓ Link | 93.0 | | Dater | 2023-01-31 |
| PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training | ✓ Link | 89.3 | 89.2 | PASTA | 2022-11-05 |
| Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding | ✓ Link | 86.61 | - | Chain-of-Table | 2024-01-09 |
| Binding Language Models in Symbolic Languages | ✓ Link | 86.0 | - | Binder | 2022-10-06 |
| Efficient Prompting for LLM-based Generative Internet of Things | | 85.77 | | Tab-PoT | 2024-06-14 |
| ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples | ✓ Link | 84.9 | 84.6 | ReasTAP-Large | 2022-10-22 |
| TAPEX: Table Pre-training via Learning a Neural SQL Executor | ✓ Link | 84.2 | 84.6 | TAPEX-Large | 2021-07-16 |
| UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models | ✓ Link | 83.68 | 83.97 | T5-3b(UnifiedSKG) | 2022-01-16 |
| ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context | ✓ Link | 83.5 | | Plan-then-Reason (Ours) | 2024-03-04 |
| Table-based Fact Verification with Salience-aware Learning | ✓ Link | 82.1 | 82.7 | Salience-aware TAPAS | 2021-09-09 |
| Understanding tables with intermediate pre-training | ✓ Link | 81.0 | 81.0 | TAPAS-Large classifier with Counterfactual + Synthetic pre-training | 2020-10-01 |
| TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition | ✓ Link | 79.5 | | TabSQLify (col+row) | 2024-04-15 |
| ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context | ✓ Link | 71.6 | | ProTrix | 2024-03-04 |
| ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context | ✓ Link | 71.5 | | GPT-4 | 2024-03-04 |
| ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context | ✓ Link | 70.6 | | ProTrix-Coder | 2024-03-04 |
| NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization | ✓ Link | 68.90 | | NormTab (Targeted) + SQL | 2024-06-25 |
| ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context | ✓ Link | 68.8 | | GPT-3.5-turbo | 2024-03-04 |
| TabFact: A Large-scale Dataset for Table-based Fact Verification | ✓ Link | 65.12 | 66.1 | Table-BERT-Horizontal-T+F-Template | 2019-09-05 |
| GLEAN: Grounded Lightweight Evaluation Anchors for Contamination-Aware Tabular Reasoning | | 57.4 | | DeBERTa-v3 (GLEAN protocol) | 2026-01-22 |
| Boosting large-language models for fact-checking: leveraging verbalized tabular data as evidence | ✓ Link | 57.35 | | TabV4FC (Qwen 2.5 - 72B) | 2026-03-19 |
| TabFact: A Large-scale Dataset for Table-based Fact Verification | ✓ Link | 50.5 | 50.9 | BERT classifier w/o Table | 2019-09-05 |
| ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context | ✓ Link | 49.5 | | CodeLlama-7B | 2024-03-04 |
| ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context | ✓ Link | 48.6 | | Llama-2-7B | 2024-03-04 |