Search papers, labs, and topics across Lattice.
University of Edinburgh
5
0
10
87
Efficiently routing queries in AI systems can be achieved without the costly overhead of exhaustive value estimation, thanks to novel policies that balance accuracy and cost.
State-of-the-art audio description systems struggle to match expert human performance, revealing significant gaps in current methodologies.
Literary character analysis gets a boost: representing novels as dynamic graphs that fuse character interactions with their textual context unlocks better performance on character-related tasks.
Disabling LLMs' built-in reasoning can paradoxically improve character description generation, but the right kind of external reasoning (QA-guided) boosts performance even further.
Ditch the slow, error-prone tool calls: Pearl learns to reason with multimodal tools entirely in the latent space, matching or exceeding SOTA performance without ever explicitly invoking a tool at inference time.
