2 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
AgenticEvolve: Evolutionary Program Search with Persistent Language Model Agents that Design and Run Experiments
Ze-Yu Peng, Qing-Yu Lan, Zhan-He Wang +2
Evolutionary program search with large language models keeps the structure of an evolutionary algorithm and uses the model as its variation operator. Typically, the model generates…
Inverse-k Primordial Oscillations from a Symbolic Regression Search
Ze-Yu Peng, Qing-Yu Lan, Yun-Song Piao
Oscillatory features in the primordial power spectrum, potential signatures of new physics in the early universe, are usually searched for using fixed templates. In this work, we p…
Testing the wormhole echo hypothesis for GW231123
Qi Lai, Qing-Yu Lan, Zhan-He Wang +1
The short-duration gravitational-wave (GW) event GW231123 has component masses inferred to lie in the pair-instability mass gap and exhibits a burst-like morphology without a clear…
DeepInflation: an AI agent for research and model discovery of inflation
Ze-Yu Peng, Hao-Shi Yuan, Qi Lai +4
We present DeepInflation, an AI agent designed for research and model discovery in inflationary cosmology. Built upon a multi-agent architecture, DeepInflation integrates Large Lan…