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Yuxuan Liang

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#machine learning Preprint Oct 2026

Flash-OPD: Fast On-Policy Distillation

On-policy distillation (OPD) provides dense teacher supervision on student-generated trajectories, but generating and evaluating long rollouts incurs substantial training cost. Existing acceleration methods reduce this cost through open-loop rollout schedules or closed-loop horizon adaptation. However, supervision comp...

Wei Chen, Junle Chen, Yi-Tong Yang et al. · 0 citations
Preprint Aug 2026

EarthVerse: Benchmarking Scientific Agents Across Dynamic Earth Systems and Natural Hazards

This work evaluates 25 model and agent systems under a controlled tool-using protocol, then uses controlled studies to locate failures in evidence access, tool selection, memory, reasoning, interaction, and scientific execution.

Zhiqing Cui, Xinxiang Yin, Yihong Tang et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Perceive to Hypothesize, Verify to Ground: An Agentic Reasoning Framework for Open-World Geo-Localization

This work reformulate geo-localization as a human-like perceive-then-verify reasoning problem and proposes GeoPAVE (Geo-localization Perception-and-Verification-Engine), a bi-level agentic framework that contains perception-based hypothesis generation via single-pass rollouts and verification-based evidence grounding f...

Yutian Jiang, Rui-Ji Li, Sisuo Lyu et al. · 0 citations
Jul 2026

MemOps: Benchmarking Lifecycle Memory Operations in Long-Horizon Conversations

It is argued that, in dynamic long-horizon interactions, memory is not a static collection of facts but a lifecycle of explicit operations, including remembering, forgetting, updating, reflecting, and their compositions, which reveal that current systems remain far from uniformly reliable.

Xixuan Hao, Zeyu Zhang, Zehao Lin et al. · 3 citations

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