Information Retrieval · Computer Science
Reasoning to Rank: An End-to-End Solution for Exploiting Large Language Models for Recommendation
Kehan Zheng, Deyao Hong, Qian Li, Jun Zhang +3
2026-02-16
Computation and Language · Computer Science
Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning
Wenjin Liu, Haoran Luo, Xueyuan Lin, Haoming Liu +4
2026-04-17
Artificial Intelligence · Computer Science
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
Jun Wang, Meng Fang, Ziyu Wan, Muning Wen +9
2024-10-15
Robotics · Computer Science
MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning
Junfeng Chen, Fuqin Deng, Yuan Gao, Junjie Hu +3
2022-09-29
Computation and Language · Computer Science
O-Researcher: An Open Ended Deep Research Model via Multi-Agent Distillation and Agentic RL
Yi Yao, He Zhu, Piaohong Wang, Jincheng Ren +11
2026-01-08
Networking and Internet Architecture · Computer Science
Constraint-Compliant Network Optimization through Large Language Models
Youngjin Song, Wookjin Lee, Hong Ki Kim, Sang Hyun Lee
2025-09-10
Machine Learning · Computer Science
On-Policy RL with Optimal Reward Baseline
Yaru Hao, Li Dong, Xun Wu, Shaohan Huang +2
2025-06-05
Computation and Language · Computer Science
In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback
Mingye Zhu, Yi Liu, Zheren Fu, Quan Wang +1
2025-11-14
Computation and Language · Computer Science
Exploring End-to-End Differentiable Natural Logic Modeling
Yufei Feng, Zi'ou Zheng, Quan Liu, Michael Greenspan +1
2020-11-11
Computation and Language · Computer Science
RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
Jonas Gehring, Kunhao Zheng, Jade Copet, Vegard Mella +3
2025-02-19
Artificial Intelligence · Computer Science
Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs
Zhuo Yang, Daolang Wang, Lingli Ge, Beilun Wang +2
2025-09-29
Software Engineering · Computer Science
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
Mingzhe Du, Luu Anh Tuan, Yue Liu, Yuhao Qing +5
2025-06-04
Information Retrieval · Computer Science
Large Language Models are Learnable Planners for Long-Term Recommendation
Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao +4
2024-04-29
Machine Learning · Computer Science
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach
Rares Cristian, Pavithra Harsha, Georgia Perakis, Brian Quanz
2025-05-19
Multiagent Systems · Computer Science
Towards General Negotiation Strategies with End-to-End Reinforcement Learning
Bram M. Renting, Thomas M. Moerland, Holger H. Hoos, Catholijn M. Jonker
2024-06-24
Neural and Evolutionary Computing · Computer Science
Autonomous Multi-Objective Optimization Using Large Language Model
Yuxiao Huang, Shenghao Wu, Wenjie Zhang, Jibin Wu +2
2024-07-29
Computation and Language · Computer Science
Plug-and-Play Training Framework for Preference Optimization
Jingyuan Ma, Rui Li, Zheng Li, Lei Sha +1
2024-12-31
Information Retrieval · Computer Science
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
Qijiong Liu, Nuo Chen, Tetsuya Sakai, Xiao-Ming Wu
2023-09-01