Summary of Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function, by Keyon Vafa et al.
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Functionby Keyon…
Summary of Mlip: Efficient Multi-perspective Language-image Pretraining with Exhaustive Data Utilization, by Yu Zhang et al.
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilizationby Yu Zhang, Qi Zhang, Zixuan Gong,…
Summary of Decoupled Alignment For Robust Plug-and-play Adaptation, by Haozheng Luo et al.
Decoupled Alignment for Robust Plug-and-Play Adaptationby Haozheng Luo, Jiahao Yu, Wenxin Zhang, Jialong Li, Jerry…
Summary of Towards Scalable Automated Alignment Of Llms: a Survey, by Boxi Cao et al.
Towards Scalable Automated Alignment of LLMs: A Surveyby Boxi Cao, Keming Lu, Xinyu Lu, Jiawei…
Summary of Memory-guided Network with Uncertainty-based Feature Augmentation For Few-shot Semantic Segmentation, by Xinyue Chen et al.
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentationby Xinyue Chen, Miaojing ShiFirst submitted…
Summary of Aligning Llms Through Multi-perspective User Preference Ranking-based Feedback For Programming Question Answering, by Hongyu Yang et al.
Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answeringby Hongyu Yang, Liyang…
Summary of Honestllm: Toward An Honest and Helpful Large Language Model, by Chujie Gao et al.
HonestLLM: Toward an Honest and Helpful Large Language Modelby Chujie Gao, Siyuan Wu, Yue Huang,…
Summary of The Ai Alignment Paradox, by Robert West and Roland Aydin
The AI Alignment Paradoxby Robert West, Roland AydinFirst submitted to arxiv on: 31 May 2024CategoriesMain:…
Summary of A Robot Walks Into a Bar: Can Language Models Serve As Creativity Support Tools For Comedy? An Evaluation Of Llms’ Humour Alignment with Comedians, by Piotr Wojciech Mirowski et al.
A Robot Walks into a Bar: Can Language Models Serve as Creativity Support Tools for…
Summary of Code Pretraining Improves Entity Tracking Abilities Of Language Models, by Najoung Kim et al.
Code Pretraining Improves Entity Tracking Abilities of Language Modelsby Najoung Kim, Sebastian Schuster, Shubham ToshniwalFirst…