A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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Introduces ALR, a lightweight method for retrieving domain-specific LLM agents from an LLM Agents Factory based on user queries.
Ryan Sze-Yin Chan, Federico Nanni, Tomas Lazauskas, et al.
This paper presents a retrieval-augmented reasoning system using a lean Qwen2.5-Instruct model fine-tuned with synthetic reasoning traces, achieving near-frontier performance on domain-specific queries while remaining locally deployable.
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A method for dynamically selecting hard negatives to improve domain-specific retrieval in enterprise search systems.
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Mistral AI introduces Magistral, a family of reasoning models (open-source 24B and enterprise versions) for domain-specific, transparent, and multilingual reasoning.
Sven Gronauer, Klaus Diepold
A survey of multi-agent deep reinforcement learning covering training schemes, emergent behaviors, and domain-specific challenges.