2 citations · 3 across the 4 of their papers we have counts for
4 papers
Agentic BAIM-LLM Evaluation (ABLE): Benchmarking LLM Use of Protein Design Tools
Bryce Cai, Geetha Jeyapragasan, Samira Nedungadi +2
We introduce ABLE, a benchmark for evaluating LLM agents' ability to use biological AI models (BAIMs), such as ProteinMPNN and AlphaFold3, in dual-use protein design workflows. ABL…
ABC-Bench: An Agentic Bio-Capabilities Benchmark for Biosecurity
Andrew Bo Liu, Samira Nedungadi, Bryce Cai +3
Large language models (LLMs) are rapidly acquiring capabilities relevant to biological research, from literature synthesis to interpretation of experimental data. Increasingly, LLM…
LLM Novice Uplift on Dual-Use, In Silico Biology Tasks
Chen Bo Calvin Zhang, Christina Q. Knight, Nicholas Kruus +16
Large language models (LLMs) perform increasingly well on biology benchmarks, but it remains unclear whether they uplift novice users -- i.e., enable humans to perform better than…
Limit Theorems for Descents in Permutations and Arithmetic Progressions in
Bryce Cai, Annie Chen, Ben Heller +1
We prove a quantitative local limit theorem for the number of descents in a random permutation. Our proof uses a conditioning argument and is based on bounding the characteristic f…