From the 6 of 173 papers with an AI index.
79 citations
- University of ChicagoUS39 papers
- University of MichiganUS36 papers
- University of OxfordGB34 papers
- University of California SystemUS33 papers
- Queen Mary University of LondonGB31 papers
- University of CambridgeGB31 papers
- Yale UniversityUS31 papers
- Stony Brook UniversityUS30 papers
- University of GenevaCH30 papers
- Lawrence Berkeley National LaboratoryUS29 papers
- Michigan State UniversityUS29 papers
- University of EdinburghGB29 papers
4 papers · 1 filter
Closing the Loop: Formally Verified Law as a Reward Signal for Self-Improving Legal AI
Armin Heydari, Torben Leowald
This article develops an architecture that creates a formally verifiable reward signal to train legal AI, adapting the LLM proposes, verifier disposes paradigm from mathematical AI…
Causal Machine Learning Is Not a Panacea: A Roadmap for Observational Causal Inference in Health
Donna Tjandra, Trenton Chang, Sonali Parbhoo +8
Objective: The growing availability of large-scale observational clinical datasets and challenges in conducting randomized controlled trials have spurred enthusiasm in using causal…
Byzantine-Resilient Federated Learning via QUBO-Based Client Selection on Quantum Annealers
Andras Ferenczi, Sutapa Samanta, Dagen Wang +1
Federated Learning (FL) trains a global model across decentralized clients while preserving data privacy, but at scale it is vulnerable to malicious updates. Byzantine-resilient ag…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…