AI's capabilities may be exaggerated by flawed tests, according to new study
🔍AI Interpretability
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Disassembling Terabytes of Random Data with Zig and Capstone to Prove a Point
⚡LLM Optimization
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Towards Humanist Superintelligence
✍️Prompt Engineering
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Teaching AI to Take Initiative – Building a Self-Thinking App with LangGraph and Ollama
✍️Prompt Engineering
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Association-sensory spatiotemporal hierarchy and functional gradient-regularised recurrent neural network with implications for schizophrenia
arxiv.org·1d
🔍AI Interpretability
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InsurAgent: A Large Language Model-Empowered Agent for Simulating Individual Behavior in Purchasing Flood Insurance
arxiv.org·2d
⚡LLM Optimization
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Silenced Biases: The Dark Side LLMs Learned to Refuse
arxiv.org·1d
⚡LLM Optimization
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Ariadne: A Controllable Framework for Probing and Extending VLM Reasoning Boundaries
arxiv.org·3d
🔍AI Interpretability
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Sub-exponential Growth in Online Word Usage: A Piecewise Power-Law Model
arxiv.org·13h
⚡LLM Optimization
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SurgViVQA: Temporally-Grounded Video Question Answering for Surgical Scene Understanding
arxiv.org·1d
🔍AI Interpretability
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Computed Tomography (CT)-derived Cardiovascular Flow Estimation Using Physics-Informed Neural Networks Improves with Sinogram-based Training: A Simulation Study
arxiv.org·13h
⚡LLM Optimization
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You should write an agent
✍️Prompt Engineering
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