Fairness in large language models: A taxonomic survey
Large Language Models (LLMs) have demonstrated remarkable success across various
domains. However, despite their promising performance in numerous real-world …
domains. However, despite their promising performance in numerous real-world …
Multi 3 WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems
Creating high-quality annotated data for task-oriented dialog (ToD) is known to be
notoriously difficult, and the challenges are amplified when the goal is to create equitable …
notoriously difficult, and the challenges are amplified when the goal is to create equitable …
Cross-lingual dialogue dataset creation via outline-based generation
Multilingual task-oriented dialogue (ToD) facilitates access to services and information for
many (communities of) speakers. Nevertheless, its potential is not fully realized, as current …
many (communities of) speakers. Nevertheless, its potential is not fully realized, as current …
Multi3NLU++: A multilingual, multi-intent, multi-domain dataset for natural language understanding in task-oriented dialogue
Task-oriented dialogue (TOD) systems have been widely deployed in many industries as
they deliver more efficient customer support. These systems are typically constructed for a …
they deliver more efficient customer support. These systems are typically constructed for a …
Crossing the conversational chasm: A primer on natural language processing for multilingual task-oriented dialogue systems
In task-oriented dialogue (ToD), a user holds a conversation with an artificial agent with the
aim of completing a concrete task. Although this technology represents one of the central …
aim of completing a concrete task. Although this technology represents one of the central …
Cross-lingual extreme summarization of scholarly documents
The number of scientific publications nowadays is rapidly increasing, causing information
overload for researchers and making it hard for scholars to keep up to date with current …
overload for researchers and making it hard for scholars to keep up to date with current …
[PDF][PDF] Can demographic factors improve text classification? revisiting demographic adaptation in the age of transformers
Demographic factors (eg, gender or age) shape our language. Previous work showed that
incorporating demographic factors can consistently improve performance for various NLP …
incorporating demographic factors can consistently improve performance for various NLP …
Survey of cultural awareness in language models: Text and beyond
Large-scale deployment of large language models (LLMs) in various applications, such as
chatbots and virtual assistants, requires LLMs to be culturally sensitive to the user to ensure …
chatbots and virtual assistants, requires LLMs to be culturally sensitive to the user to ensure …
Cgodial: A large-scale benchmark for chinese goal-oriented dialog evaluation
Practical dialog systems need to deal with various knowledge sources, noisy user
expressions, and the shortage of annotated data. To better solve the above problems, we …
expressions, and the shortage of annotated data. To better solve the above problems, we …
Extrinsic evaluation of machine translation metrics
Automatic machine translation (MT) metrics are widely used to distinguish the translation
qualities of machine translation systems across relatively large test sets (system-level …
qualities of machine translation systems across relatively large test sets (system-level …