Author

Karime Maamari

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Preprint Sep 2026

Proxifield: Decentralized Multi-Agent Communication through Semantic Proximity

As LLM capabilities have expanded, multi-agent communication has emerged as an increasingly active area of research. Prevailing protocols often adopt rigid structures that introduce coordination bottlenecks and can degrade as the number of agents increases. We introduce Proxifield, a round-adaptive multi-agent protocol...

Pradyumna Tambwekar, Yenchia Feng, Deep S. Patel et al. · 0 citations

#artificial intelligence Preprint Sep 2026

HARDEN: Constrained Evolutionary Search for Harder, Answer-Preserving Evaluation Cases

Language models are often evaluated on curated benchmarks that underrepresent the complexity of enterprise deployments. We introduce HARDEN, a constrained evolutionary search method to adapt the input of existing evaluation cases into more challenging variants while keeping their expected outputs fixed. HARDEN searches...

Aditya Kumaran, Rahul Singhal, Karime Maamari et al. · 0 citations

#artificial intelligence Aug 2024

The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models

This work revisits schema linking when using the latest generation of large language models (LLMs) and finds empirically that newer models are adept at utilizing relevant schema elements during generation even in the presence of large numbers of irrelevant ones.

Karime Maamari, Fadhil Abubaker, Daniel Jaroslawicz et al. · arXiv.org · 109 citations · ⚡19