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← Authors

Xuchao Zhang

30 papers · 2017–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🤝 Dynamic Duo (10) 🏆 Grand Slam 👥 Mega-Team (25) 🗃️ Keyword Collector (143) ⚡ Prolific Year (6) 💎 Century Club (29) 🔥 Unstoppable (9) 📈 Trend Setter

Conferences

AAAI (6) EMNLP (6) NAACL (5) ACL (4) IJCAI (3) ICLR (2) ECCV (1) ICML (1) IJCNLP (1) NIPS (1)

Top co-authors

Chang-Tien Lu (10) Haifeng Chen (8) Chetan Bansal (8) Wei Cheng (7) Huaxiu Yao (7) Fanglan Chen (6) Zhaoyang Wang (6) Yanchi Liu (6) Liang Zhao (6) Jingchao Ni (5)

Keywords

large language model (4) uncertainty estimation (3) self-paced learning (2) edit anchoring (2) zero-shot learning (2) metric learning (2) language model (2) text classification (2) document revision (2) comment ranking (2) cross-lingual transfer (2) multivariate time series (2) named entity recognition (2) domain adaptation (1) variational inference (1) imitation learning (1) few-shot learning (1) representation learning (1) reward modeling (1) prototype learning (1)

Papers

SynthAgent: Adapting Web Agents with Synthetic Supervision ACL 2026 Verifiable Format Control for Large Language Model Generations NAACL 2025 Synergistic Weak-Strong Collaboration by Aligning Preferences ACL 2025 CREAM: Consistency Regularized Self-Rewarding Language Models ICLR 2025 Anyprefer: An Agentic Framework for Preference Data Synthesis ICLR 2025 CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling ACL 2025 AMPO: Active Multi Preference Optimization for Self-play Preference Selection ICML 2025 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models NIPS 2024 Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction EMNLP 2024 Uncertainty Quantification for In-Context Learning of Large Language Models NAACL 2024 Open-ended Commonsense Reasoning with Unrestricted Answer Candidates EMNLP 2023 Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023 TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation ACL 2023 LANS: Large-scale Arabic News Summarization Corpus EMNLP 2023 Cross-Domain Few-Shot Semantic Segmentation ECCV 2022 Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph AAAI 2022 Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels NAACL 2022 Unsupervised Concept Representation Learning for Length-Varying Text Similarity NAACL 2021 Multi-Task Recurrent Modular Networks AAAI 2021 Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021 Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation EMNLP 2021 Towards More Accurate Uncertainty Estimation In Text Classification EMNLP 2020 TapNet: Multivariate Time Series Classification with Attentional Prototypical Network AAAI 2020 Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data AAAI 2020 Mitigating Uncertainty in Document Classification NAACL 2019 Modeling the Relationship between User Comments and Edits in Document Revision EMNLP 2019 Modeling the Relationship between User Comments and Edits in Document Revision IJCNLP 2019 Distributed Self-Paced Learning in Alternating Direction Method of Multipliers IJCAI 2018 Multimodal Storytelling via Generative Adversarial Imitation Learning IJCAI 2017 Robust Regression via Heuristic Hard Thresholding IJCAI 2017