Thinking-in-Bets at Test Time Reduces Sycophantic Revisions in LLM Agents
Language model agents often abandon correct work when a user challenges it, yet simply telling them to stand firm makes them ignore real mistakes. Once an agent reads a complaint, it tends to discount