3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2025★ 3 cited
MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity
Xiaqiang Tang, Qiang Gao, Jian Li +3
Retrieval Augmented Generation (RAG) has proven to be highly effective in boosting the generative performance of language model in knowledge-intensive tasks. However, existing RAG…
cs.AI2024
Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs
Xiaqiang Tang, Jian Li, Nan Du +1
Despite the superior performance of Large language models on many NLP tasks, they still face significant limitations in memorizing extensive world knowledge. Recent studies have de…
astro-ph.HE2024
A Phase-resolved View of "Heartbeat"-like variability in IGR J17091-3624 During the 2022 Outburst
Qing-Cang Shui, Shu Zhang, Jing-Qiang Peng +9
IGR J17091-3624, in addition to GRS 1915+105, is the only black hole X-ray binary that displays ``heartbeat"-like variability characterized by structured flares with high amplitude…