Summary of Efficient Contextual Llm Cascades Through Budget-constrained Policy Learning, by Xuechen Zhang et al.
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learningby Xuechen Zhang, Zijian Huang, Ege Onur Taga,…
Summary of A Large-scale Medical Visual Task Adaptation Benchmark, by Shentong Mo et al.
A Large-scale Medical Visual Task Adaptation Benchmarkby Shentong Mo, Xufang Luo, Yansen Wang, Dongsheng LiFirst…
Summary of Towards Reliable Latent Knowledge Estimation in Llms: Zero-prompt Many-shot Based Factual Knowledge Extraction, by Qinyuan Wu et al.
Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extractionby Qinyuan Wu,…
Summary of Epic: Effective Prompting For Imbalanced-class Data Synthesis in Tabular Data Classification Via Large Language Models, by Jinhee Kim et al.
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Modelsby…
Summary of Toward Self-improvement Of Llms Via Imagination, Searching, and Criticizing, by Ye Tian and Baolin Peng and Linfeng Song and Lifeng Jin and Dian Yu and Haitao Mi and Dong Yu
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizingby Ye Tian, Baolin Peng, Linfeng Song,…
Summary of Prompt-driven Feature Diffusion For Open-world Semi-supervised Learning, by Marzi Heidari et al.
Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learningby Marzi Heidari, Hanping Zhang, Yuhong GuoFirst submitted to…
Summary of Prompt Optimizer Of Text-to-image Diffusion Models For Abstract Concept Understanding, by Zezhong Fan et al.
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understandingby Zezhong Fan, Xiaohan Li, Chenhao…
Summary of Position Engineering: Boosting Large Language Models Through Positional Information Manipulation, by Zhiyuan He et al.
Position Engineering: Boosting Large Language Models through Positional Information Manipulationby Zhiyuan He, Huiqiang Jiang, Zilong…
Summary of Lmeraser: Large Model Unlearning Through Adaptive Prompt Tuning, by Jie Xu et al.
LMEraser: Large Model Unlearning through Adaptive Prompt Tuningby Jie Xu, Zihan Wu, Cong Wang, Xiaohua…
Summary of Explainable Online Unsupervised Anomaly Detection For Cyber-physical Systems Via Causal Discovery From Time Series, by Daniele Meli
Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Seriesby Daniele…