1 citations · 1 across the 4 of their papers we have counts for
6 papers
Scientific Agents: Evaluating Profession-Specific System Prompts on Scientific Tasks
Timothy Kassis
Detailed profession-specific system prompts raise token use and estimated cost per response without a consistent accuracy gain. We evaluate Scientific Agents, an open-source corpus…
K-Dense BYOK: An Open-Source AI Research Assistant That Runs Locally and Keeps a Hash-Chained Lab Notebook
Aubrey M. Brueckner, Darshil Patel, Yuhuan He +1
K-Dense BYOK (bring your own keys) is a free, open-source AI research assistant for scientists in any field that runs on the researcher's own computer. The researcher supplies acce…
Scientific Agent Skills: A Library of Procedural Knowledge for Research Agents
Timothy Kassis, Vinayak Agarwal, Yuhuan He +2
A language-model agent asked to analyse an experiment will usually return working code. Whether the analysis is defensible is a different question. A defensible analysis depends on…
K-Bench: measuring model performance on real scientific agent requests
Aubrey M. Brueckner, Darshil Patel, Yuhuan He +1
Benchmarks for scientific artificial intelligence are mostly written to be scored: multiple-choice questions, curated agent tasks with reference solutions, or simulators with a kno…
mimeo: Compiling Public Expert Corpora into Agent Skills and Testing What Transfers
Timothy Kassis
Giving an agent a file about a named expert can supply hard-to-find material, produce a recognizable persona, or change what the agent decides. These are different claims. We test…
K-Dense Analyst: Towards Fully Automated Scientific Analysis
Orion Li, Vinayak Agarwal, Summer Zhou +2
The complexity of modern bioinformatics analysis has created a critical gap between data generation and developing scientific insights. While large language models (LLMs) have show…