Lifeng Liu

1. Baichuan 2: Open Large-scale Language Models
   2023/09/19 by Yang, Aiyuan, Bin Xiao, Xiao, Bin +106 · 70 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
2. SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modeling
   2024/05/21 by Xingzhou Lou, Lou, Xingzhou, Junge Zhang +9 · 6 citations
   Computer Science · #Data Management and Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Sibyl: Simple yet Effective Agent Framework for Complex Real-world Reasoning
   2024/07/15 by Yulong Wang, Tianhao Shen, Wang, Yulong +5 · 6 citations
   Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge #Multi-Agent Systems and Negotiation
4. Interpreting Key Mechanisms of Factual Recall in Transformer-Based Language Models
   2024/03/28 by Ang Lv, Lv, Ang, Yuhan Chen +13 · 5 citations
   Computer Science · #Topic Modeling
5. Evaluation Framework For Large-scale Federated Learning
   2020/03/03 by Lifeng Liu, Fengda Zhang, Liu, Lifeng +5 · 1 citation
   Computer Science · Social Sciences · #Distributed #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
6. On the Robustness of Editing Large Language Models
   2024/02/08 by Xinbei Ma, Ma, Xinbei, Tianjie Ju +11 · 2 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
7. Knowledge-Guided Exploration in Deep Reinforcement Learning
   2022/10/26 by Sahisnu Mazumder, Bing Liu, Mazumder, Sahisnu +11 · 1 citation
   Computer Science · Engineering · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Robot Manipulation and Learning