Fact Verification
92 papers with code • 3 benchmarks • 14 datasets
Fact verification, also called "fact checking", is a process of verifying facts in natural text against a database of facts.
Benchmarks
These leaderboards are used to track progress in Fact Verification
| Trend | Dataset | Best Model | Paper | Code | Compare |
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FEVER
KILT
VitaminC
FEVEROUS
CREAK
Snopes
X-Fact
FaVIQ
Latest papers with no code
Attribute First, then Generate: Locally-attributable Grounded Text Generation
Recent efforts to address hallucinations in Large Language Models (LLMs) have focused on attributed text generation, which supplements generated texts with citations of supporting sources for post-generation fact-checking and corrections.
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval
In recent research, contrastive learning has proven to be a highly effective method for representation learning and is widely used for dense retrieval.
xLP: Explainable Link Prediction for Master Data Management
Explaining neural model predictions to users requires creativity.
Are Large Language Models Table-based Fact-Checkers?
Finally, we analyze some possible directions to promote the accuracy of TFV via LLMs, which is beneficial to further research of table reasoning.
Large Language Model for Table Processing: A Survey
Tables, typically two-dimensional and structured to store large amounts of data, are essential in daily activities like database queries, spreadsheet calculations, and generating reports from web tables.
What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification
In a study with trained annotation experts we prompt them to find evidence for biomedical claims, and observe how they refine search queries for their evidence search.
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability
Given a collection of seed documents, DCT prompts LMs to generate additional text implied by these documents, reason globally about the correctness of this generated text, and finally fine-tune on text inferred to be correct.
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
We propose the Chain-of-Table framework, where tabular data is explicitly used in the reasoning chain as a proxy for intermediate thoughts.
Are Large Language Models Good Fact Checkers: A Preliminary Study
However, they encounter challenges in effectively handling Chinese fact verification and the entirety of the fact-checking pipeline due to language inconsistencies and hallucinations.
An Empirical Study of Using ChatGPT for Fact Verification Task
(2) What are different prompts performance using ChatGPT for fact verification tasks?
