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...
Miao Peng, Qin-Tong Zhang, Nuo Chen et al.· 0 citations
DeepVoyager-VL is proposed, a long-horizon multimodal deep-search framework for vision-in-the-loop search that constructs a multimodal event graph to drive data synthesis, yielding problems with intermediate visual dependencies and long reasoning chains.
Huan-Yao Zhang, Jie-Peng Zhou, Ru Zhao et al.· 0 citations
SearchArt is introduced, a scalable framework for training long-horizon search agents through verification-driven task synthesis and a multi-stage post-training pipeline, which exhibits adaptive search planning, iterative evidence aggregation, and complex reasoning over extended interaction horizons.
Lang Mei, Xiao-Han Yu, Chong Chen et al.· arXiv.org· 1 citation
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