4 papers
Optimizing Retrieval for RAG via Reinforcement Learning
Jiawei Zhou, Lei Chen
As retrieval-augmented generation (RAG) becomes more widespread, the role of retrieval is shifting from retrieving information for human browsing to retrieving context for AI reaso…
Interactive Text-to-SQL via Expected Information Gain for Disambiguation
Luyu Qiu, Jianing Li, Chi Su +1
Relational databases are foundational to numerous domains, including business intelligence, scientific research, and enterprise systems. However, accessing and analyzing structured…
OpenRAG: Optimizing RAG End-to-End via In-Context Retrieval Learning
Jiawei Zhou, Lei Chen
In this paper, we analyze and empirically show that the learned relevance for conventional information retrieval (IR) scenarios may be inconsistent in retrieval-augmented generatio…
SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration
Yuanhao Shen, Xiaodan Zhu, Lei Chen
The tool-use ability of Large Language Models (LLMs) has a profound impact on a wide range of industrial applications. However, LLMs' self-control and calibration capability in app…