…Analysis and Refinement • Identify thresholds for autopoietic behavior. • Refine model hyperparameters and retrain as necessary. • Document emergent strategies and failure modes. Expected Outcomes • Demonstration that an adaptive propagation engine sustains >90% knowledge…
…This work reveals that these optimization strategies share a common geometric structure: each implicitly defines a target distribution on the response simplex and projects toward it via first-order approximation . Building on…
…A reference-free metric and 100-pair benchmark (2026) Fine-tuning Whisper for Pashto ASR: strategies and scale (2026) BlasBench: An Open Benchmark for Irish Speech Recognition (2026) Please give a thumbs…
…Cross-evaluator analysis with unseen recommendation models (GRU4Rec, BERT4Rec, LightSANs) confirms the learned guidance strategy generalizes beyond the training environment. Happy to discuss and comment :) 📄 Paper accepted at ICML 2026 💻 Code available…
…Cannot wait to pair with a text to speech model and start chatting with my adorable AI robot. I might even bundle with the 1000s of custom build Sparks we will ship…
…This is a big step toward more capable AI agents. At Automatio.ai , we're working on integrating similar autonomous web agents to streamline data extraction and web automation, letting users build…
…Yuanhao Zeng , , , , , Abstract Exploratory Sampling enhances LLM generation diversity by using a lightweight distiller to predict hidden representations and bias decoding toward novel semantic patterns. AI-generated summary Generating diverse responses is…
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