基于此,文中提出了任务驱动的语言建模(Task-driven Language Modeling,简称TLM),以求改进预训练->微调的训练范式,首先基于通用语料库用任务文本构造检索利用BM25检索文本构造小型语料库,然后将小型语料库预训练目标和任务目标同时优化,最后微调,发现计算量减少两个数量级的同时,效果不弱于甚至强于传统预训练->微调范式...
Language modelling for task-oriented domains - Popovici, Baggia - 1997 () Citation Context ...language modeling for spoken dialogue systems (SDS). In a SDS there are novel problems, such as the difficulty to gather a large enough sentence database for the training of reliable language models...
One notable weakness of current machine learning algorithms is the poor ability of models to solve new problems without forgetting previously acquired know
on specific tasks. Text classification methods based on pre-trained models have greatly improved accuracy. Since the emergence of large language models (LLMs), represented by generative pre-trained transformer 4 (GPT-4)[19], there has been a surge in research and applications in the field of ...
自然语言理解(nature language understanding, NLU):以用户对话为输入(经ASR识别得到的可能会有误差),输出的得到话语中包含的语义信息(domain、intent、slot-value)。 对话状态跟踪(dialog state track, DST):对话状态包含了到对话当前轮为止关于用户意图的所有信息,学习对话状态的变化,以供系统做出正确策略。
{SCOUT+: Towards practical task-driven drivers’ gaze prediction}}, booktitle = {IV}, year = {2024} } @inproceedings{2024_IV_data, author = {Kotseruba, Iuliia and Tsotsos, John K.}, title = {Data limitations for modeling top-down effects on drivers’ attention}, booktitle = {IV}, ...
to provide cues on the public cloud versus the private cloud. The annotation language used in this approach is the Java-based Annotation4. It allows application developers to annotate the components of the application within the source code, and this makes the annotations explicit.Bialek et al. ...
This paper analyzed the characteristics of mathematical modeling contest, as well as the current situation and requirements of mathmatical modeling training. In order to develop students' learning skills and innovative ability, the task-driven approach was adopted in the training of mathematical modeling...
从以上结果, 大概可以说, 当应用于非 language modeling 任务时, 在完全无 fine-tuning 的情况下, LM 模型的泛化很困难, 几乎完全垮掉. 不过想想也就释然了, 在不知道任务是什么的情况下, 还能出色地完成, 这是有违天道的. 值得一提的是, 由于语料足够大, 即使是本文使用的最小的模型, 也还处于欠拟合的...
Additionally, data-driven modeling based on Wavelet trees is employed for rendering the sounds of tool-surface interactions5. While numerous approaches have been introduced to render vibrotactile feedback and sound independently, limited effort has been directed towards their simultaneous rendering. For ...