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AI+医疗机器人教育金融能源健康娱乐思考
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研究A Fully Differentiable Neuro-Soft-Symbolic Framework for Perceptual Task Planning(arxiv.org)
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研究Sparse Priors for Efficient Distribution Learning(arxiv.org)
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研究TinyCeNN-LM: Quality-Gated Conversion of Pretrained Attention with CeNN-Inspired Cellular-Recurrent Layers(arxiv.org)
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研究Clinician-Grounded Quality Assurance for AI-Assisted Psychiatric Intake(arxiv.org)
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研究Bio-MF: Low-Latency and High-Fidelity EEG-to-fNIRS Cross-Modal Generation for Hybrid Motor-Imagery Brain--Computer Interfaces(arxiv.org)
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研究Decoupling Internal Representational Changes and Causal Importance in Fine-Tuned Large Language Models(arxiv.org)
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研究CaLR: Causal Latent Revision for Robust Diffusion Reasoning(arxiv.org)
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研究Information-Gain Rewards over Diversity-Pruned Tests: GT-Anchored Verifier Co-Training for Reliable Code Generation(arxiv.org)
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研究RBS-Attention: Radius-Bounded Sparse Prefill for Long-Context Large Language Models(arxiv.org)
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研究Attention-Aware Routing: Coupling Routing and Attention in MoEs(arxiv.org)
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研究Generative inversion for early ranking of competing geologic interpretations(arxiv.org)
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研究LoRA Enhanced Contrastive Learning with SAS Vision Transformers(arxiv.org)
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研究Continuous Delayed-Memory Stochastic Gradient Descent and Continuous-Time Reinforcement Learning from History of Astrophysical Time Series Studies(arxiv.org)
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reddit.com
研究How do you know what AI is "right" about the proposed solution it gave you?(reddit.com)
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reddit.com
研究Hemmingway-1, an Apache-2.0 27B creative-writing fine-tune (Qwen3.8-27B base, EQ-Bench 4 1330)(reddit.com)
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reddit.com
研究How is your experience with ICLR LLM Feedback?(reddit.com)
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reddit.com
研究Why decontamination reports can't fix benchmark contamination, and what an evaluator has to do instead(reddit.com)
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研究CBAM Paper Walkthrough: The Double-Attention Mechanism(towardsdatascience.com)
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研究Inside sanoTTS — a 294,279-parameter TTS system(reddit.com)
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研究I wanted to watch a neural network learn(reddit.com)
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