TrajLong: Co-Designing Agentic and Long-Context Supervision for Mid-Training
This work introduces TrajLong, a novel framework that compiles trajectories into long-context training tasks with dense supervision, targeting three representative atomic capabilities: evidence grounding, cross-evidence aggregation, and temporal state maintenance, and investigates the relationship between long-context...