https://github.com/khuangaf/fakingfakenews
공식 코드Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Natural language inference (NLI) is the task of determining whether a "hypothesis" is true (entailment), false (contradiction), or undetermined (neutral) given a "premise".
Example:
| Premise | Label | Hypothesis |
|---|---|---|
| A man inspects the uniform of a figure in some East Asian country. | contradiction | The man is sleeping. |
| An older and younger man smiling. | neutral | Two men are smiling and laughing at the cats playing on the floor. |
| A soccer game with multiple males playing. | entailment | Some men are playing a sport. |
Approaches used for NLI include earlier symbolic and statistical approaches to more recent deep learning approaches. Benchmark datasets used for NLI include SNLI, MultiNLI, SciTail, among others. You can get hands-on practice on the SNLI task by following this d2l.ai chapter.
Further readings:
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation
ConfNet2Seq: Full Length Answer Generation from Spoken Questions
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models
A Logic-Based Framework for Natural Language Inference in Dutch
SpaceNLI: Evaluating the Consistency of Predicting Inferences in Space
L-TUNING: Synchronized Label Tuning for Prompt and Prefix in LLMs
ProoFVer: Natural Logic Theorem Proving for Fact Verification
Distilled Dual-Encoder Model for Vision-Language Understanding
Distilled Dual-Encoder Model for Vision-Language Understanding
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Probing Language Models for Understanding of Temporal Expressions
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples
An Empirical Study of Pre-trained Transformers for Arabic Information Extraction
Stance Prediction and Claim Verification: An Arabic Perspective
ECoRAG: Evidentiality-guided Compression for Long Context RAG
General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings
MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
Retrieval Augmented Visual Question Answering with Outside Knowledge
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained Models
VEglue: Testing Visual Entailment Systems via Object-Aligned Joint Erasing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.