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MASSIVE: A 1M-example multilingual natural language understanding dataset with 51 typologically-diverse languages
We present the MASSIVE dataset--Multilingual Amazon Slu resource package (SLURP) for
Slot-filling, Intent classification, and Virtual assistant Evaluation. MASSIVE contains 1M …
Slot-filling, Intent classification, and Virtual assistant Evaluation. MASSIVE contains 1M …
Privacy in the time of language models
Pretrained large language models (LLMs) have consistently shown state-of-the-art
performance across multiple natural language processing (NLP) tasks. These models are of …
performance across multiple natural language processing (NLP) tasks. These models are of …
A survey on knowledge editing of neural networks
Deep neural networks are becoming increasingly pervasive in academia and industry,
matching and surpassing human performance in a wide variety of fields and related tasks …
matching and surpassing human performance in a wide variety of fields and related tasks …
A comprehensive review of large language models: issues and solutions in learning environments
A significant advancement in artificial intelligence is the development of large language
models (LLMs). Despite opposition and explicit bans by some authorities, LLMs continue to …
models (LLMs). Despite opposition and explicit bans by some authorities, LLMs continue to …
LINGUIST: Language model instruction tuning to generate annotated utterances for intent classification and slot tagging
We present LINGUIST, a method for generating annotated data for Intent Classification and
Slot Tagging (IC+ ST), via fine-tuning AlexaTM 5B, a 5-billion-parameter multilingual …
Slot Tagging (IC+ ST), via fine-tuning AlexaTM 5B, a 5-billion-parameter multilingual …
A mixed-methods approach to understanding user trust after voice assistant failures
Despite huge gains in performance in natural language understanding via large language
models in recent years, voice assistants still often fail to meet user expectations. In this study …
models in recent years, voice assistants still often fail to meet user expectations. In this study …
Optimal transport posterior alignment for cross-lingual semantic parsing
Cross-lingual semantic parsing transfers parsing capability from a high-resource language
(eg, English) to low-resource languages with scarce training data. Previous work has …
(eg, English) to low-resource languages with scarce training data. Previous work has …
Honey, I shrunk the language: Language model behavior at reduced scale
In recent years, language models have drastically grown in size, and the abilities of these
models have been shown to improve with scale. The majority of recent scaling laws studies …
models have been shown to improve with scale. The majority of recent scaling laws studies …
Efficient fine-tuning large language models for knowledge-aware response planning
Abstract Large Language Models (LLMs) have shown impressive emergent language
capabilities, especially in applications with high ambiguity, such as language reasoning and …
capabilities, especially in applications with high ambiguity, such as language reasoning and …
[HTML][HTML] A Survey on Knowledge Distillation: Recent Advancements
Deep learning has achieved notable success across academia, medicine, and industry. Its
ability to identify complex patterns in large-scale data and to manage millions of parameters …
ability to identify complex patterns in large-scale data and to manage millions of parameters …