https://github.com/advin4603/ai-detection-with-wla
공식 코드SemEval-2024 Task 8: Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Detecting the text in the image and localise it using a bounding box. The text can be in any shape and size. We need to localise all such instances of text in the entire image along with bounding box for each word.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
SemEval-2024 Task 8: Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
DocXChain: A Powerful Open-Source Toolchain for Document Parsing and Beyond
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction
Geometry Normalization Networks for Accurate Scene Text Detection
k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text
TPFNet: A Novel Text In-painting Transformer for Text Removal
ShopSign: a Diverse Scene Text Dataset of Chinese Shop Signs in Street Views
Text in the Dark: Extremely Low-Light Text Image Enhancement
Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood
CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks
Large Language Models can be Guided to Evade AI-Generated Text Detection
DALD: Improving Logits-based Detector without Logits from Black-box LLMs
Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition
FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation
Artificial Text Detection via Examining the Topology of Attention Maps
Authorship Obfuscation in Multilingual Machine-Generated Text Detection
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian
Controlling Out-of-Domain Gaps in LLMs for Genre Classification and Generated Text Detection
SynSciPass: detecting appropriate uses of scientific text generation
Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.