Summary of Llms Learn Governing Principles Of Dynamical Systems, Revealing An In-context Neural Scaling Law, by Toni J.b. Liu et al.
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling lawby Toni J.B.…
Summary of Unlearnable Algorithms For In-context Learning, by Andrei Muresanu et al.
Unlearnable Algorithms for In-context Learningby Andrei Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas PapernotFirst submitted…
Summary of On Prompt-driven Safeguarding For Large Language Models, by Chujie Zheng et al.
On Prompt-Driven Safeguarding for Large Language Modelsby Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng,…
Summary of Robust Prompt Optimization For Defending Language Models Against Jailbreaking Attacks, by Andy Zhou and Bo Li and Haohan Wang
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacksby Andy Zhou, Bo Li, Haohan…
Summary of Learnable Prompt As Pseudo-imputation: Rethinking the Necessity Of Traditional Ehr Data Imputation in Downstream Clinical Prediction, by Weibin Liao et al.
Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical…
Summary of Multilingual Text-to-image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You, by Felix Friedrich et al.
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help Youby Felix Friedrich,…
Summary of Demystifying Chains, Trees, and Graphs Of Thoughts, by Maciej Besta et al.
Demystifying Chains, Trees, and Graphs of Thoughtsby Maciej Besta, Florim Memedi, Zhenyu Zhang, Robert Gerstenberger,…
Summary of True Knowledge Comes From Practice: Aligning Llms with Embodied Environments Via Reinforcement Learning, by Weihao Tan et al.
True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learningby Weihao Tan,…
Summary of Instruction Fine-tuning: Does Prompt Loss Matter?, by Mathew Huerta-enochian et al.
Instruction Fine-Tuning: Does Prompt Loss Matter?by Mathew Huerta-Enochian, Seung Yong KoFirst submitted to arxiv on:…
Summary of Performance Analysis Of Support Vector Machine (svm) on Challenging Datasets For Forest Fire Detection, by Ankan Kar et al.
Performance Analysis of Support Vector Machine (SVM) on Challenging Datasets for Forest Fire Detectionby Ankan…