4 papers
V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat
Qi Lin, Weikai Xu, Lisi Chen +1
With the continued proliferation of Large Language Model (LLM) based chatbots, there is a growing demand for generating responses that are not only linguistically fluent but also c…
UAV-Flow Colosseo: A Real-World Benchmark for Flying-on-a-Word UAV Imitation Learning
Xiangyu Wang, Donglin Yang, Yue Liao +5
Unmanned Aerial Vehicles (UAVs) are evolving into language-interactive platforms, enabling more intuitive forms of human-drone interaction. While prior works have primarily focused…
Enhancing Persona Consistency for LLMs' Role-Playing using Persona-Aware Contrastive Learning
Ke Ji, Yixin Lian, Linxu Li +3
In recent years, large language models (LLMs) have achieved breakthrough progress in many dialogue generation tasks. However, their lack of emotion and fine-grained role awareness…
SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback
Jingsheng Gao, Linxu Li, Weiyuan Li +2
RAG systems consist of multiple modules to work together. However, these modules are usually separately trained. We argue that a system like RAG that incorporates multiple modules…