Linear Ensembles Can Erase LLM Watermarks
Watermarking schemes that embed distributional perturbations into LLM outputs are effectively broken by linear ensembles of a few independently traine…
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Self-evolving retrieval lifts benchmark scores 25%
Agents that adapt their retrieval configurations while running deliver roughly a quarter more performance on established benchmarks — EvolveMem report…
Shared expert pool reduces parameters while maintaining performance
Conventional mixture‑of‑experts designs hand each transformer layer its own private expert set, causing the total expert parameter count to swell line…