activity
20232026
most citedAlphaEvolve: A coding agent for scientific and algorithmic discovery

13 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

ArchAgent v2: A Case Study with the Data Prefetching Championship

Abraham Gonzalez, Raghav Gupta, Akanksha Jain +12

Agentic artificial intelligence has shown great promise in automating algorithm design, but scaling similar techniques to computer microarchitecture discovery remains challenging d…

cs.AI2026

ArchAgent: Agentic AI-driven Computer Architecture Discovery

Raghav Gupta, Akanksha Jain, Abraham Gonzalez +10

Agile hardware design flows are a critically needed force multiplier to meet the exploding demand for compute. Recently, agentic generative AI systems have demonstrated significant…

cs.AI2025★ 13 cited

AlphaEvolve: A coding agent for scientific and algorithmic discovery

Alexander Novikov, Ngân Vũ, Marvin Eisenberger +15

In this white paper, we present AlphaEvolve, an evolutionary coding agent that substantially enhances capabilities of state-of-the-art LLMs on highly challenging tasks such as tack…

cs.AI2024★ 2 cited

Operationalizing Contextual Integrity in Privacy-Conscious Assistants

Sahra Ghalebikesabi, Eugene Bagdasaryan, Ren Yi +10

Advanced AI assistants combine frontier LLMs and tool access to autonomously perform complex tasks on behalf of users. While the helpfulness of such assistants can increase dramati…

eess.IV2023★ 2 cited

Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation

Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren +23

Radiology reports are an instrumental part of modern medicine, informing key clinical decisions such as diagnosis and treatment. The worldwide shortage of radiologists, however, re…