How walking fine-tunes your hearing
nordot.app·15h
💡Cognitive Science
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Training LLMs Beyond Next Token Prediction - Filling the Mutual Information Gap
arxiv.org·3h
🔄Transformers
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Wave-Particle (Continuous-Discrete) Dualistic Visual Tokenization for Unified Understanding and Generation
arxiv.org·3h
🎨Computational Creativity
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Learning When to Quit in Sales Conversations
arxiv.org·3h
🎲Bayesian Cognition
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Scientists find mind trick that unlocks lost memories
sciencedaily.com·4h
💡Cognitive Science
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The Noise and the Signal
russmiles.substack.com·2h·
Discuss: Substack
🧮Information theory
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How neuroscientists are using AI
thetransmitter.org·3h
📝NLP
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Voiceprints of cognitive impairment: analyzing digital voice for early detection of Alzheimer’s and related dementias
nature.com·1d
💡Cognitive Science
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Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models
arxiv.org·3h
🔄Transformers
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Open Character Training: Shaping the Persona of AI Assistants through Constitutional AI
arxiv.org·3h
🤖AI
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Neurodivergence and EQ: Emotionally Intelligent Modifications
psychologytoday.com·16h
💬Philosophy of Language
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In a First, AI Models Analyze Language As Well As a Human Expert
quantamagazine.org·3d·
Discuss: Hacker News
💬Philosophy of Language
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Modulation of temporal decision-making in a deep reinforcement learning agent under the dual-task paradigm
arxiv.org·3h
🤖AI
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Unlock Autonomy: Next-Gen LLMs Learn to Decode Themselves by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🔄Transformers
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FLoRA: Fused forward-backward adapters for parameter efficient fine-tuning and reducing inference-time latencies of LLMs
arxiv.org·3h
🔄Transformers
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Hybrid-Attention models are the future for SLMs
inference.net·5h·
Discuss: Hacker News
🔄Transformers
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Prefrontal inhibitory mechanisms associated with Putamen activity during valence learning revealed by multimodal fMRI-fMRS
nature.com·1d
🎲Bayesian Cognition
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A Voice-Enabled Virtual Patient System for Interactive Training in Standardized Clinical Assessment
arxiv.org·3h
📝NLP
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AraFinNews: Arabic Financial Summarisation with Domain-Adapted LLMs
arxiv.org·3h
🔄Transformers
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LLMs show a “highly unreliable” capacity to describe their own internal processes
arstechnica.com·11h·
Discuss: Hacker News
💡Cognitive Science
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