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Table-based Fact Verification

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하위 태스크: 0
평가표: 1
보존된 평가 기록: 15

Verifying facts given semi-structured data.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/alibabaresearch/damo-convai

공식 코드

Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning

https://github.com/arielsho/decomposition-table-reasoning

공식 코드

Exploring Decomposition for Table-based Fact Verification

https://github.com/google-research/tapas

공식 코드

Understanding tables with intermediate pre-training

https://github.com/heaven-zhw/llm-on-tabfact

공식 코드

Are Large Language Models Table-based Fact-Checkers?

https://github.com/hkunlp/binder

공식 코드

Binding Language Models in Symbolic Languages

https://github.com/hkunlp/unifiedskg

공식 코드

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

https://github.com/luka-group/salience-aware-learning

공식 코드

Table-based Fact Verification with Salience-aware Learning

https://github.com/mahadi-nahid/tabsqlify

공식 코드

TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition

https://github.com/microsoft/Table-Pretraining

공식 코드

TAPEX: Table Pre-training via Learning a Neural SQL Executor

https://github.com/qshi95/lergv

공식 코드

Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification

https://github.com/ruc-datalab/PASTA

공식 코드

PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training

https://github.com/thumlp/samoe

공식 코드

Table-based Fact Verification with Self-adaptive Mixture of Experts

https://github.com/wenhuchen/Table-Fact-Checking

공식 코드

TabFact: A Large-scale Dataset for Table-based Fact Verification

https://github.com/xinyuanlu00/tart

공식 코드

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

https://github.com/yale-lily/reastap

공식 코드

ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples

https://github.com/MindCode-4/code-5/tree/main/tapex

TAPEX: Table Pre-training via Learning a Neural SQL Executor

https://github.com/cyqiq/multicot

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

https://github.com/google-research/chain-of-table

Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning

https://github.com/mahadi-nahid/NormTab

NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization

https://github.com/nikhilsab/h-star

Binding Language Models in Symbolic Languages

https://github.com/parkervg/blendsql

Binding Language Models in Symbolic Languages

https://github.com/pwc-1/Paper-9/tree/main/1/tapex

TAPEX: Table Pre-training via Learning a Neural SQL Executor

https://github.com/sohanpatnaik106/cabinet_qa

TAPEX: Table Pre-training via Learning a Neural SQL Executor

https://github.com/xlang-ai/binder

Binding Language Models in Symbolic Languages

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