Usb: A unified semi-supervised learning benchmark for classification
Semi-supervised learning (SSL) improves model generalization by leveraging massive
unlabeled data to augment limited labeled samples. However, currently, popular SSL …
unlabeled data to augment limited labeled samples. However, currently, popular SSL …
Pandalm: An automatic evaluation benchmark for llm instruction tuning optimization
Instruction tuning large language models (LLMs) remains a challenging task, owing to the
complexity of hyperparameter selection and the difficulty involved in evaluating the tuned …
complexity of hyperparameter selection and the difficulty involved in evaluating the tuned …
Supervised knowledge makes large language models better in-context learners
Large Language Models (LLMs) exhibit emerging in-context learning abilities through
prompt engineering. The recent progress in large-scale generative models has further …
prompt engineering. The recent progress in large-scale generative models has further …
Novelqa: A benchmark for long-range novel question answering
The rapid advancement of Large Language Models (LLMs) has introduced a new frontier in
natural language processing, particularly in understanding and processing long-context …
natural language processing, particularly in understanding and processing long-context …
A false emotion opinion target extraction model with two stage BERT and background information fusion
ZY Hou, YJ Du, QZ Li, XY Li, XL Chen… - Expert Systems with …, 2024 - Elsevier
As social media has gradually become an indispensable part of people's life, more and
more users begin to express their opinions on social media. These opinions contain rich …
more users begin to express their opinions on social media. These opinions contain rich …