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Table Based Fact Verification On Tabfact

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Test

Val

Results

Performance results of various models on this benchmark

Model Name	Test	Val	Paper Title	Repository
TAPAS-Large classifier with Counterfactual + Synthetic pre-training	81.0	81.0	Understanding tables with intermediate pre-training	-
PASTA	89.3	89.2	PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training	-
T5-3b(UnifiedSKG)	83.68	83.97	UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models	-
Table-BERT-Horizontal-T+F-Template	65.12	66.1	TabFact: A Large-scale Dataset for Table-based Fact Verification	-
ARTEMIS-DA	93.1	-	ARTEMIS-DA: An Advanced Reasoning and Transformation Engine for Multi-Step Insight Synthesis in Data Analytics	-
Binder	86.0	-	Binding Language Models in Symbolic Languages	-
TabSQLify (col+row)	79.5	-	TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition	-
ReasTAP-Large	84.9	84.6	ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples	-
Chain-of-Table	86.61	-	Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding	-
Tab-PoT	85.77	-	Efficient Prompting for LLM-based Generative Internet of Things	-
TAPEX-Large	84.2	84.6	TAPEX: Table Pre-training via Learning a Neural SQL Executor	-
NormTab (Targeted) + SQL	68.90	-	NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization	-
BERT classifier w/o Table	50.5	50.9	TabFact: A Large-scale Dataset for Table-based Fact Verification	-
Dater	93.0	-	Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning	-
Salience-aware TAPAS	82.1	82.7	Table-based Fact Verification with Salience-aware Learning	-

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Table Based Fact Verification On Tabfact | SOTA | HyperAI