3 citations · 7 across the 6 of their papers we have counts for
3 papers · 1 filter
Worse Together: How Performance Breaks Down in Multi-User Multi-Agent Teams
Sahan Paliskara, Nattaput Namchittai, Andrew Lampinen
People are increasingly delegating tasks to AI agents, and those agents are increasingly encountering other people's agents over shared resources such as a codebase, a calendar, or…
Beneath the Surface: Investigating LLMs' Capabilities for Communicating with Subtext
Kabir Ahuja, Yuxuan Li, Andrew Kyle Lampinen
Human communication is fundamentally creative, and often makes use of subtext -- implied meaning that goes beyond the literal content of the text. Here, we systematically study whe…
Improving Latent Generalization Using Test-time Compute
Arslan Chaudhry, Sridhar Thiagarajan, Andrew Lampinen
Language Models (LMs) exhibit two distinct mechanisms for knowledge acquisition: in-weights learning (i.e., encoding information within the model weights) and in-context learning (…