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Tree search methods can significantly enhance reasoning in LLMs, revealing that traditional decoding approaches may be holding back their potential.
Retaining nearly all of a model's capability while slashing visual token usage by over 80% reveals a transformative approach to VLM compression.
AI can now automatically reverse-engineer and rigorously validate complex biological simulations, pinpointing the key components driving performance with superhuman accuracy.