Search papers, labs, and topics across Lattice.
University of Cambridge
4
0
6
Explicitly regulating a research agent's mental model with feedback loops beats relying on implicit LLM reasoning, leading to significant gains on complex research tasks.
LLMs can be coaxed into significantly better performance on specific tasks by distilling their own outputs, but only if you surgically isolate the relevant capability using gradient-derived subspaces.
TabGRAA flips the script on tabular data synthesis, turning static statistical replication into a dynamic, self-improving generation process.
Strategic emotional intelligence, orchestrated by a Bayesian multi-agent system, unlocks negotiation superpowers for resource-constrained language models in high-stakes scenarios.
