نسخة أولية وصول مفتوح
TrajLong: Co-Designing Agentic and Long-Context Supervision for Mid-Training
LLM agents for coding, search, and workplace tasks increasingly rely on long-context capabilities to effectively aggregate and reason over extended interaction histories. Recent work has incorporated agent trajectories into mid-training stage, drawing on their naturally long and interaction-rich structure. Yet how to o …