TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks (2024 · 68 citations)
Can LLM-driven agents actually take over real office work, and how much of it? Existing agent benchmarks are often detached from professional practice or limited to one job type, and they rarely test communication with coworkers.
SUAT-BMI at MEDIQA-EVAL 2026: An Ensemble Approach to Language Models as Judges for Automatic Rating of Medical Responses (2026 · 1 citation)
The authors tackle the automatic rating of LLM-generated answers to dermatology and wound-care questions. They predict the scores that clinical experts would assign along several quality dimensions, using data from the English sub-task of the MEDIQA-EVAL 2026 shared task, built on DermaVQA and WoundcareVQA.

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Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 53 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated 2 November 2026