128 citations · 129 across the 8 of their papers we have counts for
8 papers
Contrastive Concept-Tree Search for LLM-Assisted Algorithm Discovery
Timothee Leleu, Sudeera Gunathilaka, Federico Ghimenti +1
Large language Model (LLM)-assisted algorithm discovery is an iterative, black-box optimization process over programs to approximatively solve a target task, where an LLM proposes…
Reshaping Global Loop Structure to Accelerate Local Optimization by Smoothing Rugged Landscapes
Timothee Leleu, Sam Reifenstein, Atsushi Yamamura +1
Probabilistic graphical models with frustration exhibit rugged energy landscapes that trap iterative optimization dynamics. These landscapes are shaped not only by local interactio…
Short-term plasticity recalls forgotten memories through a trampoline mechanism
Martina Del Gaudio, Federico Ghimenti, Surya Ganguli
We analyze continuous Hopfield associative memories augmented by additional, rapid short-term associative synaptic plasticity. Through the cavity method, we determine the boundary…
The geometry and dynamics of annealed optimization in the coherent Ising machine with hidden and planted solutions
Federico Ghimenti, Adithya Sriram, Atsushi Yamamura +2
The coherent Ising machine (CIM) is a nonconventional hardware architecture for finding approximate solutions to large-scale combinatorial optimization problems. It operates by ann…
CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers
Haining Pan, James V. Roggeveen, Erez Berg +16
Large language models (LLMs) have shown remarkable progress in coding and math problem-solving, but evaluation on advanced research-level problems in hard sciences remains scarce.…
Fooling LLM graders into giving better grades through neural activity guided adversarial prompting
Atsushi Yamamura, Surya Ganguli
The deployment of artificial intelligence (AI) in critical decision-making and evaluation processes raises concerns about inherent biases that malicious actors could exploit to dis…
Geometric landscape annealing as an optimization principle underlying the coherent Ising machine
Atsushi Yamamura, Hideo Mabuchi, Surya Ganguli
Given the fundamental importance of combinatorial optimization across many diverse application domains, there has been widespread interest in the development of unconventional phys…
Holistic Evaluation of Language Models
Percy Liang, Rishi Bommasani, Tony Lee +47
Language models (LMs) are becoming the foundation for almost all major language technologies, but their capabilities, limitations, and risks are not well understood. We present Hol…