Jieyu Zhang
32 papers · 2021–2026 · 12 conferences · across top CS/AI conferences
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π Interdisciplinary Bridge π Academic Marathon (5) π Renaissance Researcher (7) π Conference Polyglot (12) πΊοΈ Taxonomy Completionist (54)
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Taxonomy Completionist
(54)
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Keyword Pioneer
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Hot Topic Early Bird
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Dynamic Duo
(10)
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Keyword Champion
(3)
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Grand Slam
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Topic Evolution
π₯
Mega-Team
(60)
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Unstoppable
(5)
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Keyword Collector
(131)
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The Questioner
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Prolific Year
(12)
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Century Club
(31)
Conferences
NIPS (11)
EMNLP (4)
ICCV (3)
ICML (3)
AAAI (2)
CVPR (2)
ICLR (2)
ACL (1)
AISTATS (1)
ECCV (1)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
large language model
(4)
text classification
(3)
contrastive learning
(3)
programmatic weak supervision
(3)
vision-language model
(3)
representation learning
(3)
model ranking
(2)
preference evaluation
(2)
data filtering
(2)
few-shot learning
(2)
class imbalance
(2)
label aggregation
(2)
curriculum learning
(1)
benchmark evaluation
(1)
domain adaptation
(1)
variational inference
(1)
zero-shot learning
(1)
deep reinforcement learning
(1)
preference alignment
(1)
neural network training
(1)
Papers
Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
AAAI 2026
LATTE: Learning to Think with Vision Specialists
EMNLP 2025
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems
ICML 2025
One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory
ICCV 2025
Explaining Length Bias in LLM-Based Preference Evaluations
EMNLP 2025
m&mβs: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks
ECCV 2024
DataComp-LM: In search of the next generation of training sets for language models
NIPS 2024
Task Me Anything
NIPS 2024
Biomedical Visual Instruction Tuning with Clinician Preference Alignment
NIPS 2024
Iterated Learning Improves Compositionality in Large Vision-Language Models
CVPR 2024
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
EMNLP 2024
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
ICML 2024
Offline Training of Language Model Agents with Functions as Learnable Weights
ICML 2024
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach
ACL 2023
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
CVPR 2023
Uncovering Neural Scaling Laws in Molecular Representation Learning
NIPS 2023
When to Learn What: Model-Adaptive Data Augmentation Curriculum
ICCV 2023
Subclass-balancing Contrastive Learning for Long-tailed Recognition
ICCV 2023
Characterizing the Impacts of Semi-supervised Learning for Weak Supervision
NIPS 2023
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
NIPS 2023
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training
NIPS 2023
Learning Hyper Label Model for Programmatic Weak Supervision
ICLR 2023
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision
AISTATS 2023
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality
NIPS 2023
DataComp: In search of the next generation of multimodal datasets
NIPS 2023
Creating Training Sets via Weak Indirect Supervision
ICLR 2022
AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models
NAACL 2022
Understanding Programmatic Weak Supervision via Source-aware Influence Function
NIPS 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification
EMNLP 2022
Taxonomy Completion via Triplet Matching Network
AAAI 2021
TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract)
IJCAI 2021
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD
NIPS 2021