Search papers, labs, and topics across Lattice.
Arizona State University, Cisco Research
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Critique-aware training can boost LLM agent reliability by over 10% in complex, stateful environments, transforming how we approach tool-calling tasks.
Evolving skills in frozen LLMs can lead to substantial performance gains, allowing smaller models to rival their larger counterparts without parameter updates.
Memory systems struggle to adapt as user profiles evolve, with over 93% of failures linked to memory retrieval rather than response generation.
Unlock the Rosetta Stone for neural networks: UAV lets one model explain the inner workings of *any* other, regardless of architecture or size.
