FAAF aligns an LLM with a two-part loss, one part conditioned on a detected belief-misalignment state, to generate reflection-prompting interventions, and reports higher win rates than DPO, IPO, and PPO on collaborative task benchmarks.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Frictional Agent Alignment Framework: Slow Down and Don't Break Things
FAAF aligns an LLM with a two-part loss, one part conditioned on a detected belief-misalignment state, to generate reflection-prompting interventions, and reports higher win rates than DPO, IPO, and PPO on collaborative task benchmarks.