AI hallucinations: a misnomer worth clarifying
As large language models continue to advance in Artificial Intelligence (AI), text generation
systems have been shown to suffer from a problematic phenomenon often termed as" …
systems have been shown to suffer from a problematic phenomenon often termed as" …
Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluations
Enhancing user engagement through personalization in conversational agents has gained
significance, especially with the advent of large language models that generate fluent …
significance, especially with the advent of large language models that generate fluent …
CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models
Large language models (LLMs) have facilitated significant strides in generating
conversational agents, enabling seamless, contextually relevant dialogues across diverse …
conversational agents, enabling seamless, contextually relevant dialogues across diverse …
Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation
Target-oriented dialogue systems, designed to proactively steer conversations toward
predefined targets or accomplish specific system-side goals, are an exciting area in …
predefined targets or accomplish specific system-side goals, are an exciting area in …
Beyond Candidates: Adaptive Dialogue Agent Utilizing Persona and Knowledge
To build ultimate dialogue agents, previous studies suggest models that ground both
persona and knowledge. However, applying the dialogue system directly to the usual …
persona and knowledge. However, applying the dialogue system directly to the usual …
Multi-level adaptive contrastive learning for knowledge internalization in dialogue generation
Knowledge-grounded dialogue generation aims to mitigate the issue of text degeneration by
incorporating external knowledge to supplement the context. However, the model often fails …
incorporating external knowledge to supplement the context. However, the model often fails …
Post-hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded Conversations
Despite the striking advances in recent language generation performance, model-generated
responses have suffered from the chronic problem of hallucinations that are either untrue or …
responses have suffered from the chronic problem of hallucinations that are either untrue or …
Persona-Identified Chatbot through Small-Scale Modeling and Data Transformation
B Keum, J Sun, W Lee, S Park, H Kim - Electronics, 2024 - mdpi.com
Research on chatbots aimed at facilitating more natural and engaging conversations is
actively underway. With the growing recognition of the significance of personas in this …
actively underway. With the growing recognition of the significance of personas in this …
K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries
Personalizing conversational agents can enhance the quality of conversations and increase
user engagement. However, they often lack external knowledge to appropriately tend to a …
user engagement. However, they often lack external knowledge to appropriately tend to a …
Persona-centric Metamorphic Relation guided Robustness Evaluation for Multi-turn Dialogue Modelling
Recently there has been significant progress in the field of dialogue system thanks to the
introduction of training paradigms such as fine-tune and prompt learning. Persona can …
introduction of training paradigms such as fine-tune and prompt learning. Persona can …