Story

arxiv_cs_ai ยท Nov 6, 2026 ยท paper

Source brief

Alignment by Confident Debate: Preference Learning from Multi-Agent Debate

arxiv.orgNov 6, 2026
original source linked

In brief

Post-training language models for reasoning typically rely on gold answers, task-specific verifiers, or learned reward models, limiting scalability when such signals are scarce. Multi-agent debate offers a self-superv...

Feed lens
agenteval

Continue reading

Read the original at arxiv.org โ†’Open in live feedRead that dayโ€™s brief

Earlier in this thread 4 items