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Adaptive computation for efficiency Block‑sparse attention scheduling cuts inference latency by up to...
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Current long‑horizon LLM agents burn tokens at a rate that makes billion‑step research infeasible....
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Raw waveform diffusion can now deliver the same—or even higher—audio fidelity that autoencoder‑based...
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State‑of‑the‑art agents succeed on just 62.5 % of authentic command‑line workflows. The TerminalWorld...
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Online skill distillation and graph‑guided knowledge substantially reduce the compute bill of LLM...
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Vision‑language transformers paired with geometric primitives now output metric‑scale,...
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RL from verifiable rewards now beats GRPO baselines by a comfortable margin, and the advantage comes...
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Efficiency and Cost Reduction in LLM Agents Recent work tackles the high inference cost of LLM‑driven...
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Extreme KV‑Cache Compression and Long‑Context Efficiency Static quantization is giving way...
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From Dev.to - machinelearning: Shared expert pool reduces parameters while maintaining performance