📑 Table of Contents
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Covers the latest AI research, open source and industry moves, updated daily.
Editor’s Note
The paper thread today: SpecKV speculative KV caching, PAPERMIND scientific paper understanding, Exploration Hacking showing LLMs can bias their own RL training, brain-like functional specialization in LLMs, and fairness auditing for ED triage models.
1. Latest arXiv Papers
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SpecKV: Speculative Key-Value Caching for Efficient LLM Inference — https://arxiv.org/abs/2605.02888
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PAPERMIND: A Multimodal Benchmark for Scientific Paper Understanding in Agents — https://arxiv.org/abs/2604.21304
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Exploration Hacking: LLMs Can Strategically Suppress Exploration to Bias RL Training
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LLM Functional Specialization: Evidence of Brain-Like Modular Organization in LLMs
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TMD-Bench: A Multi-Level Evaluation Paradigm for Music-Dance Co-Generation — https://arxiv.org/abs/2605.01809
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Experience-RAG: Incorporating Historical Experience Memory into RAG
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RadSaFE-200: A Safety Evaluation Framework for Radiology LLMs
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EQUITRIAGE: Auditing Fairness in Emergency Department Triage Models
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