From the 1 of 4 linked papers with an AI index.
4 papers
Graph Feedback Controls Consensus and Clique Formation in Open-Weight Language-Model Populations
Samer Saab, Chaouki Abdallah
The paper studies how the interaction graph among open-weight language models affects their ability to reach consensus or form cliques, using a naming‑game protocol and comparing t…
MIRA-Math: A Benchmark for Minimal Information Requesting and Mathematical Reasoning
Charbel Al Bateh, Samer Saab
Mathematical reasoning benchmarks typically provide all facts needed to solve each problem, while interactive benchmarks often mix reasoning with tools, retrieval, and long-horizon…
Quantum State Preparation via Neural Network Encoding in Quantum Machine Learning
Kevin W. Aoun, Florian J. Kiwit, Carlos A. RiofrÃo +4
A central challenge in quantum machine learning is the state preparation bottleneck that describes the prohibitive computational cost of loading high-dimensional classical data int…
Complete Cyclic Subtask Graphs for Tool-Using LLM Agents: Flexibility, Cost, and Bottlenecks in Long-Horizon Workflows
Luay Gharzeddine, Samer Saab
Long-horizon tool-using tasks sometimes benefit from revisiting earlier subtasks, but explicit revisitation also adds routing, coordination, and token cost. We study complete cycli…