Summary of Large Language Models For Forecasting and Anomaly Detection: a Systematic Literature Review, by Jing Su et al.
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Reviewby Jing Su, Chufeng…
Summary of Exploration-driven Policy Optimization in Rlhf: Theoretical Insights on Efficient Data Utilization, by Yihan Du et al.
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilizationby Yihan Du, Anna Winnicki,…
Summary of Prompt-based Bias Calibration For Better Zero/few-shot Learning Of Language Models, by Kang He et al.
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Modelsby Kang He, Yinghan Long, Kaushik…
Summary of Can We Soft Prompt Llms For Graph Learning Tasks?, by Zheyuan Liu et al.
Can we Soft Prompt LLMs for Graph Learning Tasks?by Zheyuan Liu, Xiaoxin He, Yijun Tian,…
Summary of Transductive Learning Is Compact, by Julian Asilis et al.
Transductive Learning Is Compactby Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua TengFirst submitted…
Summary of Biomistral: a Collection Of Open-source Pretrained Large Language Models For Medical Domains, by Yanis Labrak et al.
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domainsby Yanis Labrak, Adrien…
Summary of Interpreting Clip with Sparse Linear Concept Embeddings (splice), by Usha Bhalla et al.
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)by Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flavio…
Summary of Revisiting Experience Replayable Conditions, by Taisuke Kobayashi
Revisiting Experience Replayable Conditionsby Taisuke KobayashiFirst submitted to arxiv on: 15 Feb 2024CategoriesMain: Machine Learning…
Summary of Datadreamer: a Tool For Synthetic Data Generation and Reproducible Llm Workflows, by Ajay Patel et al.
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflowsby Ajay Patel, Colin Raffel,…
Summary of Subgraph-level Universal Prompt Tuning, by Junhyun Lee et al.
Subgraph-level Universal Prompt Tuningby Junhyun Lee, Wooseong Yang, Jaewoo KangFirst submitted to arxiv on: 16…