ByteDance Paper: Keeping Full Trial History Beats Summarized Memory for LLM Agents
ByteDance's new Chain-of-Experience method finds that keeping full, messy trial histories in context outperforms compressing them into summarized memory, boosting LLM reasoning by 4.2% while proving more cost-effective.
2026-08-31 ~ 2026-08-31 · 3 related posts
- ByteDance Paper: Keeping Messy History Outperforms Neat Summaries — rohanpaul_ai · 2026-08-31
- ByteDance Paper: Keeping Raw Attempt History Outperforms Summaries for LLM Reasoning — rohanpaul_ai · 2026-08-31
- ByteDance Paper: Keeping Full History Cuts Costs by 19% vs. Compression — AGI Hunt · 2026-08-31