https://github.com/jingyng/label-adaptive-self-rationalization
공식 코드Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification and Explanation Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification and Explanation Generation
PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning
HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking
WatChat: Explaining perplexing programs by debugging mental models
RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking
Tribrid: Stance Classification with Neural Inconsistency Detection
FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval
Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking
Crowd Intelligence for Early Misinformation Prediction on Social Media
Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules
OverPrompt: Enhancing ChatGPT through Efficient In-Context Learning
Ask To The Point: Open-Domain Entity-Centric Question Generation
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
Semantic Operators: A Declarative Model for Rich, AI-based Data Processing
Attribute First, then Generate: Locally-attributable Grounded Text Generation
From {Solution Synthesis} to {Student Attempt Synthesis} for Block-Based Visual Programming Tasks
Implicit Temporal Reasoning for Evidence-Based Fact-Checking
FIRE: Fact-checking with Iterative Retrieval and Verification
OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs
UrduFactCheck: An Agentic Fact-Checking Framework for Urdu with Evidence Boosting and Benchmarking
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.