From the 1 of 5 linked papers with an AI index.
5 papers
BayesPO: Bayesian Prompt Optimization via Parallel-Tempered Gradient-Guided Discrete MCMC
Junjie Zhou, Zhijian Ou
Prompt optimization adapts large language models (LLMs) without updating model parameters, but many automatic prompt optimizers remain heuristic search procedures over candidate in…
GEIS: A Generation-Evaluation-Improvement Loop of Agent Skills for Long-Form Article Generation
Jiale Zhang, Juntao Hu, Zhijian Ou
The paper presents GEIS, a modular loop of named skills that generate, evaluate, and iteratively improve Wikipedia‑style long‑form articles, showing quality gains over baseline and…
Improving End-to-End Training of Retrieval-Augmented Generation Models via Joint Stochastic Approximation
Hongyu Cao, Yuxuan Wu, Yucheng Cai +2
Retrieval-augmented generation (RAG) has become a widely recognized paradigm to combine parametric memory with non-parametric memories. An RAG model consists of two serial connecti…
Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems
Yucheng Cai, Yuxuan Wu, Yi Huang +2
Large language models (LLMs) have recently been applied to dialog systems. Despite making progress, LLMs are prone to errors in knowledge-intensive scenarios. Recently, approaches…
Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems
Yucheng Cai, Ke Li, Yi Huang +2
A retriever, which retrieves relevant knowledge pieces from a knowledge base given a context, is an important component in many natural language processing (NLP) tasks. Retrievers…