Search papers, labs, and topics across Lattice.
4 papers published across 1 lab.
Stop wasting compute on irrelevant actions: targeted hindsight self-distillation focuses LLM agent training on the critical failure points, boosting performance and slashing training time.
LLMs can now automatically slim down and future-proof mathematical proofs, achieving 70% compression and 60% faster compilation by strategically rewriting them.
LLMs can now be rigorously tested on their ability to generate correct chip design rule checking (DRC) scripts, thanks to a new benchmark that scores scripts based on execution, not just code similarity.
Current personal assistant agents struggle to anticipate and act on unstated user needs in long, complex workflows, revealing a critical gap between task completion and genuine proactivity.
