Large language models (LLMs) have the potential to revolutionize our medical system1having shown their capabilities on diverse tasks2,3,4,5,6,7,8,9,10,11. Importantly, as humans primarily interact with the world through language, LLMs are poised to be the point of access to the multimodal...
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yuqing Yang ICLR 2024|September 2023 Publication 下载BibTex ...
[openreview], ICLR submission 2023.10 Large Language Models as Evolutionary Optimizers Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong. [abs], Preprint 2023.11 Large Language Models can Implement Policy Iteration Ethan Brooks, Logan Walls, Richard L. Lewis, Satinder Singh. [abs],...
Large Language Model for Science: A Study on P vs. NP, Q. Dong et al, 2023 Augmenting Language Models with Long-Term Memory, W. Wang et al, 2023 Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers, Dai et al, 2023 LONGNET: Scaling...
optimizers Adam for learning rate Schedules 1–3 for the largest example (Lucarelli), showing that too high learning rates obstruct the optimization process. Medians are indicated as thick lines, boxes extend from 25th to 75th percentiles, whiskers show the ranges of the data.dLine-search for ...
(2) retrieve prompts (contexts) from the annotated data pool for in-context learning. Specifically, the selection method first selects a small set of unlabeled examples iteratively and then labels them to serve as contexts for LLMs to predict the labels of the rest unlabeled data. The method...
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Large Language Models as Optimizers (OPRO) Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen arXiv 2023. [Paper] 7 Sep 2023 Automatic Prompt Optimization with "Gradient Descent" and Beam Search (APO) ...
Large Language Models as Optimizers (OPRO) Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen arXiv 2023. [Paper] 7 Sep 2023Automatic Prompt Optimization with "Gradient Descent" and Beam Search (APO) Reid Pryzant, Dan Iter, Jerry Li, Yin ...
Large Language Models as Optimizers (OPRO) Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen arXiv 2023. [Paper] 7 Sep 2023Automatic Prompt Optimization with "Gradient Descent" and Beam Search (APO) Reid Pryzant, Dan Iter, Jerry Li, Yin ...