3 papers
math.OC2026
Using Laplace Transform To Optimize the Hallucination of Generation Models
Cheng Kang, Xinye Chen, Daniel Novak +1
To explore the feasibility of avoiding the confident error (or hallucination) of generation models (GMs), we formalise the system of GMs as a class of stochastic dynamical systems…
cs.CL2024
Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant
Cheng Kang, Daniel Novak, Katerina Urbanova +2
Large language models (LLMs) have demonstrated impressive generalization capabilities on specific tasks with human-written instruction data. However, the limited quantity, diversit…
cs.CL2024
Quantized Embedding Vectors for Controllable Diffusion Language Models
Cheng Kang, Xinye Chen, Yong Hu +1
Improving the controllability, portability, and inference speed of diffusion language models (DLMs) is a key challenge in natural language generation. While recent research has sho…