2 papers
cs.AI2025
Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
Chandler Smith, Marwa Abdulhai, Manfred Diaz +83
Large Language Model (LLM) agents have demonstrated impressive capabilities for social interaction and are increasingly being deployed in situations where they might engage with bo…
quant-ph2025
QASER: Breaking the Depth vs. Accuracy Trade-Off for Quantum Architecture Search
Ioana Moflic, Alexandru Paler, Akash Kundu
Quantum computing faces a key challenge: balancing the need for low circuit depth (crucial for fault tolerance) with the high accuracy required for complex computations like quantu…