Bloom: A 176b-parameter open-access multilingual language model
Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …
a few demonstrations or natural language instructions. While these capabilities have led to …
PharmaGPT: Domain-specific large language models for bio-pharmaceutical and chemistry
Large language models (LLMs) have revolutionized Natural Language Processing (NLP) by
minimizing the need for complex feature engineering. However, the application of LLMs in …
minimizing the need for complex feature engineering. However, the application of LLMs in …
An Idiom Reading Comprehension Model Based on Multi-Granularity Reasoning and Paraphrase Expansion
Y Dai, Y Liu, L Yang, Y Fu - Applied Sciences, 2023 - mdpi.com
Idioms are a unique class of words in the Chinese language that can be challenging for
Chinese machine reading comprehension due to their formal simplicity and the potential …
Chinese machine reading comprehension due to their formal simplicity and the potential …
Machamp at semeval-2022 tasks 2, 3, 4, 6, 10, 11, and 12: Multi-task multi-lingual learning for a pre-selected set of semantic datasets
R Van der Goot - Proceedings of the 16th International Workshop …, 2022 - aclanthology.org
Previous work on multi-task learning in Natural Language Processing (NLP)
oftenincorporated carefully selected tasks as well as carefully tuning ofarchitectures to share …
oftenincorporated carefully selected tasks as well as carefully tuning ofarchitectures to share …
Multilingual multi-figurative language detection
Figures of speech help people express abstract concepts and evoke stronger emotions than
literal expressions, thereby making texts more creative and engaging. Due to its pervasive …
literal expressions, thereby making texts more creative and engaging. Due to its pervasive …
daminglu123 at SemEval-2022 task 2: Using BERT and LSTM to do text classification
D Lu - Proceedings of the 16th International Workshop on …, 2022 - aclanthology.org
Multiword expressions (MWEs) or idiomaticity are common phenomenon in natural
languages. Current pre-trained language models cannot effectively capture the meaning of …
languages. Current pre-trained language models cannot effectively capture the meaning of …
Construction artifacts in metaphor identification datasets
Metaphor identification aims at understanding whether a given expression is used
figuratively in context. However, in this paper we show how existing metaphor identification …
figuratively in context. However, in this paper we show how existing metaphor identification …
Investigating Idiomaticity in Word Representations
Idiomatic expressions are an integral part of human languages, often used to express
complex ideas in compressed or conventional ways (eg eager beaver as a keen and …
complex ideas in compressed or conventional ways (eg eager beaver as a keen and …
Effective cross-task transfer learning for explainable natural language inference with t5
We compare sequential fine-tuning with a model for multi-task learning in the context where
we are interested in boosting performance on two tasks, one of which depends on the other …
we are interested in boosting performance on two tasks, one of which depends on the other …
Bloom: A 176b-parameter open-access multilingual language model
Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …
a few demonstrations or natural language instructions. While these capabilities have led to …