https://github.com/neemakot/evaluating-explanations
공식 코드Towards a Framework for Evaluating Explanations in Automated Fact Verification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Fact verification, also called "fact checking", is a process of verifying facts in natural text against a database of facts.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Towards a Framework for Evaluating Explanations in Automated Fact Verification
Multi-Evidence based Fact Verification via A Confidential Graph Neural Network
Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts
Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection
Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based Model
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables
QA-NatVer: Question Answering for Natural Logic-based Fact Verification
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
Assessing the Limitations of Large Language Models in Clinical Fact Decomposition
ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification
Investigating Zero- and Few-shot Generalization in Fact Verification
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence
Table-based Fact Verification with Self-adaptive Mixture of Experts
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification
Fine-grained Fact Verification with Kernel Graph Attention Network
FaaF: Facts as a Function for the evaluation of generated text
BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with Tables
TabFact: A Large-scale Dataset for Table-based Fact Verification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.