Skip to content

Author

Yang Yang

We have 6 of 17 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Oct 2026

Grounded in Time: A Multi-Source Dataset and Benchmark for Temporal Grounding in Robotic Manipulation

Robotic manipulation often requires inferring task-relevant states from past interactions when the current observation alone is insufficient to determine the appropriate action. Despite progress in benchmarking memory-augmented vision-language-action (VLA) models, application-oriented tasks requiring history-dependent...

Yi Wang, Yang Yang, Guang-Qi Xu et al. · 0 citations
Preprint Sep 2026

CommitFlow: Semantic Commitment Verification and Local Correction for Long-Horizon Robot Manipulation VLA Execution

Although vision-language-action (VLA) policies have advanced rapidly, long-horizon execution may still progress to the next task stage before the required physical effect has been established. We call this a mismatch between semantic commitments, physical conditions that a stage must establish or maintain, and the actu...

Zi-Xi Zhao, Yan-Song Feng, Yang Yang et al. · 1 citation

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective

ConSPO is a Contrastive Sequence-level Policy Optimization method that uses length-normalized sequence log-probabilities as rollout scores and contrasts verified positive rollouts against negative distractors within the same group, and outperforms strong baselines on challenging reasoning benchmarks.

Feng Zhang, Xin-Hong Ma, Zi-Qiang Dong et al. · 1 citation
Preprint Aug 2026

Deliberate Before You Fly: Vision-Guided Spatial Deliberation for UAV See-and-Reach Navigation

DBFly is proposed, a vision-language waypoint prediction framework that introduces explicit vision-guided spatial deliberation before waypoint generation and develops a terminal-convergence-aware stopping strategy that characterizes terminal states through both target proximity and short-horizon motion convergence, ena...

Fanfu Xue, En Yu, Bo-Han Liu et al. · 0 citations
Jun 2026

Stage-Transition Dense Reward Modeling for Reinforcement Learning

Experiments show that STDR consistently improves sample efficiency and success rates over multiple baselines, and matches or surpasses handcrafted dense rewards on several challenging tasks, suggesting robustness to visual noise and better-calibrated reward assignment across settings.

Yang Yang, Bingjie Chen, Zihan Wang et al. · 0 citations
#artificial intelligence Preprint Aug 2026

DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents

This work proposes DART-SD (Diamond-topology Aware Retrieval and Tuning for Self-Distillation), a novel framework that shifts the paradigm from global forcing to topology-guided localized correction, and significantly outperforms traditional full-trajectory baselines.

Hangrui Xu, Jiarui Wang, Yang Yang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.