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Table-based Fact Verification
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Verifying facts given semi-structured data.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning
NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization
Efficient Prompting for LLM-based Generative Internet of Things
TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition
Are Large Language Models Table-based Fact-Checkers?
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
Heuristic Heterogeneous Graph Reasoning Networks for Fact Verification
Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training
ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples
Binding Language Models in Symbolic Languages
Table-based Fact Verification with Self-adaptive Mixture of Experts
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models
Exploring Decomposition for Table-based Fact Verification
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification
Table-based Fact Verification with Salience-aware Learning
TAPEX: Table Pre-training via Learning a Neural SQL Executor
Understanding tables with intermediate pre-training
TabFact: A Large-scale Dataset for Table-based Fact Verification
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