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Beat the state-of-the-art in radio signal separation by 122x using a transformer trained on cross-entropy loss, and the same architecture could work for gravitational waves.
GPTQ's quantization of LLMs is leaving performance on the table: WaterSIC closes the gap with an information-theoretically near-optimal approach that beats the state-of-the-art on Llama and Qwen.
