Automated design of agentic systems
Researchers are investing substantial effort in developing powerful general-purpose agents,
wherein Foundation Models are used as modules within agentic systems (eg Chain-of …
wherein Foundation Models are used as modules within agentic systems (eg Chain-of …
Evolution transformer: In-context evolutionary optimization
Evolutionary optimization algorithms are often derived from loose biological analogies and
struggle to leverage information obtained during the sequential course of optimization. An …
struggle to leverage information obtained during the sequential course of optimization. An …
Discovering Preference Optimization Algorithms with and for Large Language Models
Offline preference optimization is a key method for enhancing and controlling the quality of
Large Language Model (LLM) outputs. Typically, preference optimization is approached as …
Large Language Model (LLM) outputs. Typically, preference optimization is approached as …
A Test of the Thermodynamics of Evolution
D Sadasivan, C Cantu, C Marsh, A Graham - arXiv preprint arXiv …, 2024 - arxiv.org
Recent research has extended methods from the fields of thermodynamics and statistical
mechanics into other disciplines. Most notably, one recent work creates a unified theoretical …
mechanics into other disciplines. Most notably, one recent work creates a unified theoretical …
Higher Order and Self-Referential Evolution for Population-based Methods
Due to their simplicity and support of high levels of parallelism, evolutionary algorithms have
regained popularity in machine learning applications such as curriculum generation for …
regained popularity in machine learning applications such as curriculum generation for …