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Table-based Fact Verification

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Benchmarks

TabFact

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Most implemented

Papers

ARTEMIS-DA: An Advanced Reasoning and Transformation Engine for Multi-Step Insight Synthesis in Data Analytics

2024-12-18 · Atin Sakkeer Hussain

This paper presents the Advanced Reasoning and Transformation Engine for Multi-Step Insight Synthesis in Data Analytics (ARTEMIS-DA), a novel framework designed to augment Large Language Models (LLMs) for solving complex…

Code GenerationInformation RetrievalQuestion AnsweringRetrieval+3

TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning

2024-09-18 · Xinyuan Lu, Liangming Pan, Yubo Ma, Preslav Nakov 외

Current Large Language Models (LLMs) exhibit limited ability to understand table structures and to apply precise numerical reasoning, which is crucial for tasks such as table question answering (TQA) and table-based fact…

Fact VerificationQuestion AnsweringTable-based Fact Verification

NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization

2024-06-25 · Md Mahadi Hasan Nahid, Davood Rafiei

In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities in parsing textual data and generating code. However, their performance in tasks involving tabular data, especially those requiring …

Semantic ParsingTable-based Fact Verification

Efficient Prompting for LLM-based Generative Internet of Things

2024-06-14 · Bin Xiao, Burak Kantarci, Jiawen Kang, Dusit Niyato 외

Large language models (LLMs) have demonstrated remarkable capacities on various tasks, and integrating the capacities of LLMs into the Internet of Things (IoT) applications has drawn much research attention recently. Due…

Prompt EngineeringQuestion AnsweringSemantic ParsingTable-based Fact Verification

TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition

2024-04-15 · Md Mahadi Hasan Nahid, Davood Rafiei

Table reasoning is a challenging task that requires understanding both natural language questions and structured tabular data. Large language models (LLMs) have shown impressive capabilities in natural language understan…

Natural Language UnderstandingQuestion AnsweringSemantic ParsingTable-based Fact Verification+2

Are Large Language Models Table-based Fact-Checkers?

2024-02-04 · Hanwen Zhang, Qingyi Si, Peng Fu, Zheng Lin 외

Table-based Fact Verification (TFV) aims to extract the entailment relation between statements and structured tables. Existing TFV methods based on small-scaled models suffer from insufficient labeled data and weak zero-…

Fact VerificationIn-Context LearningPrompt EngineeringTable-based Fact Verification

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