عند ضبط النماذج المحددة مسبقا للتصنيف، يستخدم الباحثون إما رأس نموذج عام أو موجه خاص بالتنبؤ.جادل مؤيدو المطالبات بأن المطالبات توفر طريقة لحقن إرشادات خاصة بالمهام، وهي مفيدة في أنظمة البيانات المنخفضة.نهدف إلى تقدير هذه الفائدة من خلال اختبار صارم للمطالبات في إعداد عادل: مقارنة بالضبط الدقيق المطالب والرأس في ظروف متساوية في العديد من المهام وأحجام البيانات.من خلال السيطرة على العديد من مصادر ميزة، نجد أن المطالبة تقدم بالفعل فائدة، وأن هذه الفائدة يمكن تحديدها لكل مهمة.تظهر النتائج أن المطالبة غالبا ما تستحق 100 ثانية من نقاط البيانات في المتوسط عبر مهام التصنيف.
When fine-tuning pretrained models for classification, researchers either use a generic model head or a task-specific prompt for prediction. Proponents of prompting have argued that prompts provide a method for injecting task-specific guidance, which is beneficial in low-data regimes. We aim to quantify this benefit through rigorous testing of prompts in a fair setting: comparing prompted and head-based fine-tuning in equal conditions across many tasks and data sizes. By controlling for many sources of advantage, we find that prompting does indeed provide a benefit, and that this benefit can be quantified per task. Results show that prompting is often worth 100s of data points on average across classification tasks.
References used
https://aclanthology.org/
In online domain-specific customer service applications, many companies struggle to deploy advanced NLP models successfully, due to the limited availability of and noise in their datasets. While prior research demonstrated the potential of migrating
Reliable tagging of Temporal Expressions (TEs, e.g., Book a table at L'Osteria for Sunday evening) is a central requirement for Voice Assistants (VAs). However, there is a dearth of resources and systems for the VA domain, since publicly-available te
GPS technology considers the essential tool for establishing geodetic networks.
Static method of GPS is used often in observing geodetic network points. Establishing
geodetic networks using GPS requires accuracy, consistency and economency.
This p
Many real-world problems require the combined application of multiple reasoning abilities---employing suitable abstractions, commonsense knowledge, and creative synthesis of problem-solving strategies. To help advance AI systems towards such capabili
Bacteriological critical control points (CCPS) for automatic ice cream
industry were identified based on the primary ingradients of such industry,
processing stages and working environment.
Three thousand samples were analyzed during two productio