4 papers
Multi-Agent Synergy-Driven Iterative Visual Narrative Synthesis
Wang Xi, Quan Shi, Tian Yu +5
Automated generation of high-quality media presentations is challenging, requiring robust content extraction, narrative planning, visual design, and overall quality optimization. E…
Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models
Tian Yu, Shaolei Zhang, Yang Feng
Iterative retrieval refers to the process in which the model continuously queries the retriever during generation to enhance the relevance of the retrieved knowledge, thereby impro…
Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts
Tian Yu, Shaolei Zhang, Yang Feng
Although Large Language Models (LLMs) have demonstrated impressive text generation capabilities, they are easily misled by untruthful contexts provided by users or knowledge augmen…
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space
Shaolei Zhang, Tian Yu, Yang Feng
Large Language Models (LLMs) sometimes suffer from producing hallucinations, especially LLMs may generate untruthful responses despite knowing the correct knowledge. Activating the…