Shuang Ao

4 papers · 2021–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

UAI (2) ICML (1) NeurIPS (1)

Top co-authors

Stefan Rueger (2) Guodong Long (2) Tianyi Zhou (2) Jing Jiang (2) Advaith Siddharthan (2) Xuan Song (1) Qinghua Lu (1) Liming Zhu (1) Chengqi Zhang (1)

Research topics

Artificial Intelligence (2) Deep Learning (2) Reinforcement Learning (2) Core AI (2) Methods (2) Machine Learning (1) Applications (1) Core Methods (1) Learning Types (1) Optimization & Theory (1) Techniques (1)

Keywords

curriculum learning (2) reinforcement learning (1) path planning (1) uncertainty quantification (1) natural language inference (1) natural language generation (1) sparse reward (1) policy generalization (1) failure detection (1) model reliability (1) adversarial environment (1) confidence estimation (1) network calibration (1) hierarchical task decomposition (1) large language model (1) long-horizon task (1) selective generation (1) subtask decomposition (1) sub-task curriculum (1) contrastive learning (1)

Papers

CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs UAI 2024 Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration UAI 2023 EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning ICML 2022 CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum NeurIPS 2021