PARSER Parallelizes Long-Document Reading for Deeper Reasoning
PARSER, a new project on Hugging Face, uses scatter-gather sub-agents to read documents in parallel chunks while a main agent aggregates and reasons iteratively, improving multi-hop reasoning and reducing latency. Reviewers call it one of the cleanest long-context agent designs in months.
2026-09-11 ~ 2026-09-11 · 2 related posts
- PARSER: parallel chunk reading plus scatter-gather subagents for long-context LLM agents — Kun Li · 2026-09-11
- PARSER: parallel chunk subagents with an RL-trained lead agent for long-context QA — omarsar0 · 2026-09-11