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LLMs are far more alike than you think: shared biases and failure modes mean that ensembling them is less effective than you'd hope.
LLMs can be guided to discover better solutions in open-ended scientific tasks by identifying and reasoning about causal factors that influence the evolutionary process.
Forget brute-force KV cache: CHESS achieves comparable quality to full KV cache using only 1% of the memory, unlocking 4.56x higher throughput for long-context LLMs.
