Text watermarking algorithms are crucial for protecting the copyright of textual content.
Historically, their capabilities and application scenarios were limited. However, recent …

This systematic literature review comprehensively examines the application of Large
Language Models (LLMs) in forecasting and anomaly detection, highlighting the current …

Abstract We introduce Directional Stimulus Prompting, a novel framework for guiding black-
box large language models (LLMs) towards specific desired outputs. Instead of directly …

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to
LLM-based conversational systems. Guardrails (or rails for short) are a specific way of …

This survey paper provides a comprehensive overview of the recent advancements and
challenges in applying large language models to the field of audio signal processing. Audio …

Task-oriented dialogue (TOD) models have made significant progress in recent years.
However, previous studies primarily focus on datasets written by annotators, which has …

Building end-to-end task bots and maintaining their integration with new functionalities using
minimal human efforts is a long-standing challenge in dialog research. Recently large …

Dialogue systems and large language models (LLMs) have gained considerable attention.
However, the direct utilization of LLMs as task-oriented dialogue (TOD) models has been …

Retrieval-augmented Large Language Models (LLMs) offer substantial benefits in
enhancing performance across knowledge-intensive scenarios. However, these methods …

While large language models (LLMs) like ChatGPT have shown impressive capabilities in
Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this …