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BEST-KAG: Enhancing Question Answering of Building Engineering Standards with Multimodal Knowledge Graph Modeling and Large Language Model
arXiv:2608.11244v1 Announce Type: new Abstract: Construction standards are critical for building safety and sustainability.…
- Existing standard application workflows rely on keyword-based document…
- To address these limitations, this study develops a multimodal knowled…
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The Off-Support Barrier: Why Semantic Safety Constraints Are Not Learning-Problem Invariants, and What Follows for Prior Design, Containment, and Verification
arXiv:2608.…
- 11243v1 Announce Type: new Abstract: We argue that a single structural…
- , the agent does not escape its sandbox) is an off-support object.
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VQ-bench: A Composable Vector Quantization Framework
arXiv:2608.11240v1 Announce Type: new Abstract: Vector quantization is an old problem but has recently become central to AI infrastructure.…
- It is therefore experiencing a surge of renewed engineering and resear…
- This paper provides a unified framework for developing and benchmarkin…
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Geometry-aware Incremental Neural Operator for Long-Horizon PDE prediction
arXiv:2608.11237v1 Announce Type: new Abstract: Neural operators have shown strong potential for learning solution operators of partial differential equations (PDEs).…
- However, long-horizon autoregressive prediction remains challenging: l…
- Existing methods mainly improve state representations and operator bac…
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CORA-Diff: Confidence-Oriented Residual Acceptance for Efficient Diffusion Language Model Inference
arXiv:2608.11235v1 Announce Type: new Abstract: Diffusion language models (DLMs) update many tokens in parallel, yet practical decoders often use a fixed denoising horizon.…
- Many predictions stabilize early, but blockwise decoding continues unt…
- Existing accelerators often rely on learned filters, modified scores, …
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InfraBench: Evaluating Infrastructure Agents Across Layers, Lifecycle, and Risk
arXiv:2608.11234v1 Announce Type: new Abstract: Managing modern computing infrastructure has become a steadily harder problem due to the ever-increasing complexity.…
- Recent advances in AI agents create a timely opportunity to automate i…
- We present InfraBench, a benchmark suite for evaluating AI agents on r…
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LinearKV: One Cached State Suffices for Position-Independent Caching in Hybrid LLMs
arXiv:2608.11231v1 Announce Type: new Abstract: LLM serving is increasingly accelerated by position-independent caching (PIC).…
- Existing PIC methods, however, are built for full-attention models, wh…
- Hybrid LLMs break these primitives---they replace most attention layer…
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Classifying multipartite continuous-variable entanglement structures through data-augmented neural networks
Nature Machine Intelligence, Published online: 30 July 2026; doi:10.1038/s42256-026-01284-yGao et al.…
- introduce a quantum data augmentation method to enable neural networks…
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Beyond representational alignment with brain-guided language models for robust reasoning
Nature Machine Intelligence, Published online: 03 August 2026; doi:10.1038/s42256-026-01278-wXiao et al.…
- show that large language models partially align with human brain activ…
- They further show that brain signals can directly guide and improve mo…
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Reinforcement learning steers generative crystal design
Nature Machine Intelligence, Published online: 03 August 2026; doi:10.…
- 1038/s42256-026-01282-0Generative machine learning methods have led to…
- A reinforcement learning-based method steers candidate generation to t…
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Impact-resistant, autonomous robots inspired by tensegrity architecture
Nature Machine Intelligence, Published online: 10 August 2026; doi:10.1038/s42256-026-01280-2Johnson et al.…
- demonstrate an autonomous three-bar tensegrity robot capable of robust…
- 7-m drop onto asphalt.
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Cutting AI Datacenter Energy with Reinforcement Learning: Measured Power Control of LLM Training from One GPU to the Fleet
arXiv:2608.…
- 11226v1 Announce Type: new Abstract: Reinforcement-learning post-train…
- We instrument GRPO training with half-second power telemetry at 7B, 14…
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Identity from the Outside: A Conceptual Framework and Research Program for AI Personality Clones
arXiv:2608.11225v1 Announce Type: new Abstract: AI "personality clones" force a re-examination of personal identity in operational terms.…
- Setting aside the hard problem of consciousness, we approach identity …
- We distinguish three criteria that "identity" conflates: fidelity to a…
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