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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Instance-level quantitative saliency in multiple sclerosis lesion segmentation
Understanding the Weakness of Large Language Model Agents within a Complex Android Environment
ReGAL: Refactoring Programs to Discover Generalizable Abstractions
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning
A review of technical factors to consider when designing neural networks for semantic segmentation of Earth Observation imagery
Dataset and Baseline System for Multi-lingual Extraction and Normalization of Temporal and Numerical Expressions
BloombergGPT: A Large Language Model for Finance
Complexity-Based Prompting for Multi-Step Reasoning
Large Language Models are Zero-Shot Reasoners
Training Compute-Optimal Large Language Models
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.