Great paper on improving proactive agents. (bookmark it) Proactive agents act before you do. But how do you evaluate something that's supposed to anticipate needs you haven't expressed? This work introduces PARE, a framework that models applications as finite state machines
@dair_ai
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Structured Memory Systems for Long-Horizon LLM Behavior
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Good agent memory paper. And great insights on the benefits of structured memory for long-horizon behavior in LLMs. Why it matters: It treats memory less like search and more like a system that will need maintenance (which they often do). Flat memories are cheap to write.
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Multi-Agent LLM Systems Show Diversity Collapse Over Time
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Cool paper on diversity collapse in AI agents. It's a common issue with all the deployed multi-agent systems. New paper shows that multi-agent LLM systems converge on near-identical outputs over time, even across different architectures and different starting prompts. They call
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Building Production-Grade AI Agents: Essential Reading
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Worth a read if you are building production-grade AI agents.
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Agents That Self-Generate World Knowledge via Outcome-Based Rewards
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How far are we from agents that can self-generate world knowledge? The work proposes an outcome-based reward that measures how much an agent's self-generated world knowledge actually improves its task success rate. The external guidance is then removed at inference. Result: A
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Survey on Multi-Agent Systems from Classical to LLM-Based Paradigms
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// Survey on Multi-Agent Systems // The paper traces the landscape from classical paradigms (consensus, distributed control, swarm intelligence, cooperative learning) to foundation-model-enabled MAS (LLM-based planning, role specialization, task decomposition, multi-modal
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NVIDIA’s Self-Evolving Logic Synthesis Framework with Multi-Agent LLMs
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NEW paper from NVIDIA. EDA tools like ABC have been hand-tuned by humans for decades. New research from NVIDIA shows they can evolve themselves. The work introduces the first self-evolving logic synthesis framework: multi-agent LLMs autonomously refine the entire ABC codebase,
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Top AI Papers of the Week: April 13-19
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The Top AI Papers of the Week (April 13 – 19) – AlphaEval
– AiScientist
– Auto-Diagnose
– Nemotron 3 Super
– Subliminal Learning
– Automated W2S Researcher
– Memory Transfer Learning Read on for more: -
Apple Attention to Mamba Cross-Architecture Distillation Technique
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NEW paper from Apple. Interesting idea: "Attention to Mamba". The paper introduces a two-stage recipe for cross-architecture distillation from Transformers into Mamba. Naive distillation collapses teacher performance. Their trick: first distill the transformer into a
