Xuchao Zhang
29 papers · 2017–2026 · 9 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.
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Research topics
Machine Learning
(22)
Artificial Intelligence
(17)
Natural Language Processing
(14)
Learning Types Β· Machine Learning
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Core AI
(12)
Deep Learning
(10)
Core Methods
(10)
Application Areas
(6)
Learning Paradigms
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Learning Types Β· Deep Learning
(6)
Optimization & Theory
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Applications
(4)
Data Science & Analytics
(3)
Keywords
large language model
(5)
uncertainty estimation
(3)
text classification
(2)
multivariate time series
(2)
cross-lingual transfer
(2)
metric learning
(2)
language model
(2)
named entity recognition
(2)
reward model
(2)
self-paced learning
(2)
zero-shot learning
(2)
variational inference
(1)
imitation learning
(1)
domain adaptation
(1)
few-shot learning
(1)
representation learning
(1)
reward modeling
(1)
prototype learning
(1)
robust regression
(1)
reinforcement learning
(1)
Papers
SynthAgent: Adapting Web Agents with Synthetic Supervision
ACL 2026
AMPO: Active Multi Preference Optimization for Self-play Preference Selection
ICML 2025
Anyprefer: An Agentic Framework for Preference Data Synthesis
ICLR 2025
CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling
ACL 2025
CREAM: Consistency Regularized Self-Rewarding Language Models
ICLR 2025
Synergistic Weak-Strong Collaboration by Aligning Preferences
ACL 2025
Verifiable Format Control for Large Language Model Generations
NAACL 2025
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
NeurIPS 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
LANS: Large-scale Arabic News Summarization Corpus
EMNLP 2023
Open-ended Commonsense Reasoning with Unrestricted Answer Candidates
EMNLP 2023
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation
ACL 2023
Time Series Contrastive Learning with Information-Aware Augmentations
AAAI 2023
Cross-Domain Few-Shot Semantic Segmentation
ECCV 2022
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels
NAACL 2022
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph
AAAI 2022
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation
EMNLP 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
AAAI 2021
Multi-Task Recurrent Modular Networks
AAAI 2021
Unsupervised Concept Representation Learning for Length-Varying Text Similarity
NAACL 2021
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data
AAAI 2020
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network
AAAI 2020
Towards More Accurate Uncertainty Estimation In Text Classification
EMNLP 2020
Mitigating Uncertainty in Document Classification
NAACL 2019
Modeling the Relationship between User Comments and Edits in Document Revision
EMNLP 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