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,
@dair_ai
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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
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Claude Code versus OpenClaw: Comprehensive Model Comparison
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Dive into Claude Code and how it compares with OpenClaw. https://
arxiv.org/abs/2604.14228 -
WebXSkill: Skill Learning Framework for Autonomous Web Agents
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// Skill Learning for Autonomous Web Agents // Web agents can navigate a page, but ask them to repeat a checkout flow they already completed, and they start from scratch every time. This work introduces WebXSkill, a skill learning framework where web agents extract reusable
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Memory Transfer Learning Framework for Coding Agents
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Coding agents learn from experience, but that knowledge stays locked in silos. Solve a thousand SWE tasks, and none of that wisdom helps with competitive coding. What if memories could transfer across domains? The work introduces Memory Transfer Learning, a framework where
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Agent Evals Drift from Production Reality Standards
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Agent evals are drifting away from production reality. Most benchmarks use clean tasks, well-specified requirements, deterministic metrics, and retrospective curation. Production work is messier, with implicit constraints, fragmented multimodal inputs, undeclared domain
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NVIDIA Nemotron 3 Super: 120B Open Model for Agentic Reasoning
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Banger paper from NVIDIA. Agentic reasoning needs models that are not just capable, but efficient at long-context inference. The agent model layer is moving toward open, long-context, high-throughput architectures. This paper introduces Nemotron 3 Super, an open 120B parameter
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Small Models Adaptation Challenges Beyond Fine-Tuning
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Small models are cheap to run, but expensive to adapt. The hard part is not only fine-tuning. It is the surrounding loop that involves collecting data, diagnosing failures, building evals, avoiding regressions, choosing curricula, and deciding when an update is safe. This new
