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Models may score well on benchmarks but often fail to meet strict perceptual requirements, revealing a hidden brittleness in multimodal evaluations.
Achieving over 51% peak efficiency in a compact, wideband Doherty power amplifier through innovative deep learning techniques could revolutionize power amplifier design.
AI-generated microwave filters not only match traditional performance but also unveil new electric field patterns that challenge conventional design paradigms.
Achieving over 71% peak drain efficiency in Doherty amplifiers using a groundbreaking deep learning approach could redefine power amplifier design.
Transforming uninformative reward signals into actionable insights, Reasoning Arena boosts reasoning performance while slashing training costs.
UniBlendNet achieves state-of-the-art ambient lighting normalization by adaptively correcting for spatially-varying illumination, leading to visually superior and more stable image restoration.
Finally, a streaming ASR model matches Whisper's offline transcription quality while maintaining sub-second latency.
