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cs.AI2026

FSPO: Policy-Consistent Risk and Pareto-Feasible Control for Budgeted LLM RL Post-Training

Miaobo Hu, Shuhao Hu, Xiaobo Guo +4

Adaptive LLM reinforcement-learning post-training changes multiple training actuators online, including rollout temperature, group size, clipping, KL regularization, verifier alloc…

cs.AI2026

ROUTEAUDIT: Interaction-Aware Identification for Budgeted Multi-Verifier Routing

Miaobo Hu, Shuhao Hu, Xiaobo Guo +5

Adaptive multi-verifier systems are commonly compared through endpoint quality-cost gaps, even when the verifier catalog, availability, accounting, information filtration, or score…

cs.AI2026

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text

Miaobo Hu, Xiaobo Guo, Shuhao Hu +5

Schema graphs are an upstream bottleneck of schema-grounded information extraction and knowledge graph construction, yet most extraction systems assume the schema is already availa…

cs.AI2026

ECPO: Evidence-Coupled Policy Optimization for Verifier-Audited Candidate Ranking

Miaobo Hu, Shuhao Hu, BoKun Wang +5

Ranking systems used for decision support should expose evidence that can be audited independently of the model's ranking scores. We study a closed-roster setting in which a policy…

cs.AI2026

TTE-Flash: Accelerating Reasoning-based Multimodal Representations via Think-Then-Embed Tokens

Jianpeng Cheng, Xian Wu, Jiangfan Zhang +16

Recent research has demonstrated that Universal Multimodal Embedding (UME) benefits significantly from Chain-of-Thought (CoT) reasoning. In this paradigm, a generative model produc…