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EXPLORE boosts analog circuit topology generation success rates from 12% to 65% by intelligently combining Monte Carlo Tree Search with transformer decoding.
FARS challenges the boundaries of automated research by producing 166 papers across 67 topics, revealing both its potential and pitfalls in AI-driven science.
Diffusion LLMs can achieve up to 6.1x higher throughput than autoregressive models by dynamically adjusting decoding granularity based on real-time load, a feat unattainable with fixed-block approaches.
LLMs struggle to extract and reason over complex text structures in scientific domains, but explicitly prompting them to build these structures first yields significant performance gains.
Multimodal LLMs that ace single-turn safety can still be tricked into 90-100% ASR with multi-turn attacks, especially when modalities switch mid-conversation.
