EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM?

EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM?

6 October 2024

Aakriti Agrawal

Anirudh Satheesh

Furong Huang

Papers citing "EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM?"

5 / 5 papers shown

Title
An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability David Herrera-Poyatos Carlos Peláez-González Cristina Zuheros Andrés Herrera-Poyatos Virilo Tejedor F. Herrera Rosana Montes 23 1 0 06 Apr 2025
Leveraging LLMs for Predicting Unknown Diagnoses from Clinical Notes Dina Albassam Adam Cross Chengxiang Zhai 29 0 0 28 Mar 2025
How to Mitigate Overfitting in Weak-to-strong Generalization? Junhao Shi Qinyuan Cheng Zhaoye Fei Y. Zheng Qipeng Guo Xipeng Qiu 65 0 0 06 Mar 2025
Understanding the Capabilities and Limitations of Weak-to-Strong Generalization Wei Yao Wenkai Yang Z. Wang Yankai Lin Yong Liu ELM 88 1 0 03 Feb 2025
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization Mucong Ding Chenghao Deng Jocelyn Choo Zichu Wu Aakriti Agrawal ... Tianyi Zhou Tom Goldstein John Langford Anima Anandkumar Furong Huang 42 5 0 27 Sep 2024