Large language models (LLMs) have demonstrated strong capabilities in various aspects.
However, when applying them to the highly specialized, safe-critical legal domain, it is …

Abstract Out-of-distribution (OOD) detection is a rapidly growing field due to new robustness
and security requirements driven by an increased number of AI-based systems. Existing …

Understanding how styles differ across languages is advantageous for training both humans
and computers to generate culturally appropriate text. We introduce an explanation …

The main limiting factor in the development of robust multilingual open-domain dialogue
evaluation metrics is the lack of multilingual data and the limited availability of open-sourced …

Pre-trained models (PTMs) have achieved great success in various Software Engineering
(SE) downstream tasks following the``pre-train then fine-tune''paradigm. As fully fine-tuning …

The cultural landscape of interactions with dialogue agents is a compelling yet relatively
unexplored territory. It's clear that various sociocultural aspects--from communication styles …

Abstract Product Question Answering (PQA) systems are key in e-commerce applications as
they provide responses to customers' questions as they shop for products. While existing …

The main limiting factor in the development of robust multilingual dialogue evaluation
metrics is the lack of multilingual data and the limited availability of open sourced …

Cross-lingual transfer is important for developing high-quality chatbots in multiple languages
to address the imbalanced distribution of language resources. A typical approach of cross …

Product Question Answering (PQA) systems are key in e-commerce applications to provide
responses to customers' questions as they shop for products. While existing work on PQA …