Artificial Intelligence · Computer Science
MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity
Xiaqiang Tang, Qiang Gao, Jian Li, Nan Du +2
2025-01-03
Artificial Intelligence · Computer Science
Contextual Bandit with Adaptive Feature Extraction
Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi, Irina Rish
2020-09-15
Information Theory · Computer Science
Deep Contextual Bandit and Reinforcement Learning for IRS-Assisted MU-MIMO Systems
Dariel Pereira-Ruisánchez, Óscar Fresnedo, Darian Pérez-Adán, Luis Castedo
2024-01-31
Machine Learning · Computer Science
Demystifying Design Choices of Reinforcement Fine-tuning: A Batched Contextual Bandit Learning Perspective
Hong Xie, Xiao Hu, Tao Tan, Haoran Gu +4
2026-02-02
Machine Learning · Computer Science
Interactive Search Based on Deep Reinforcement Learning
Yang Yu, Zhenhao Gu, Rong Tao, Jingtian Ge +1
2020-12-14
Machine Learning · Computer Science
Contextual Bandit Learning with Predictable Rewards
Alekh Agarwal, Miroslav Dudík, Satyen Kale, John Langford +1
2012-03-05
Computation and Language · Computer Science
Contextual Reinforcement in Multimodal Token Compression for Large Language Models
Naderdel Piero, Zacharias Cromwell, Nathaniel Wainwright, Matthias Nethercott
2025-08-11
Systems and Control · Electrical Eng. & Systems
Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems
Shakthi Weerasinghe, Arkady Zaslavsky, Seng W. Loke, Amin Abken +1
2023-02-10
Computation and Language · Computer Science
Task-Adaptive Embedding Refinement via Test-time LLM Guidance
Ariel Gera, Shir Ashury-Tahan, Gal Bloch, Ohad Eytan +1
2026-05-13
Machine Learning · Computer Science
Reinforcement Learning Methods for Neighborhood Selection in Local Search
Yannick Molinghen, Augustin Delecluse, Renaud De Landtsheer, Stefano Michelini
2026-01-14
Computation and Language · Computer Science
Entity-Centric Query Refinement
David Wadden, Nikita Gupta, Kenton Lee, Kristina Toutanova
2022-09-19