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20242026
most citedLongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering

2 citations · 4 across the 10 of their papers we have counts for

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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

ContractRL: Shielded Group-Relative Policy Optimization for Auditable Tool-Call Repair

Miaobo Hu, Shuhao Hu, Xiaobo Guo +5

Structured tool calls often fail after only a small number of fields violate a schema or an execution contract. Regenerating the complete object enlarges the action surface and mak…

cs.AI2026

RSD-Poker: Structure-Adaptive and Shift-Robust Risk-Utility Certification for Residual Policies in Imperfect-Information Games

Miaobo Hu, Shuhao Hu, Xiaobo Guo +5

Residual policy adaptation provides a lightweight way to modify a strong reference policy, but a shared scale and a fixed subgroup partition can hide heterogeneous degradation and…

cs.AI2026

Audit-First VAPO: Risk-Certified Selective Updates under Imperfect Verification

Miaobo Hu, Shuhao Hu, Xiaobo Guo +5

Imperfect verifiers can assign a harmful update direction even when clipping and regularization bound its magnitude. We introduce Audit-First VAPO, which separates discrete directi…

cs.AI2026

OSCC: Certified Observation-Safe Coupling Optimization for Gradient-Noise Control in Imperfect-Information Learning

Miaobo Hu, Shuhao Hu, Xiaobo Guo +5

Coupled rollouts can reduce the noise of counterfactual action comparisons, but two issues prevent standard common-random-number constructions from serving as a general learning pr…

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…