Yuchen Zhuang
27 papers · 2020–2026 · 10 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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Machine Learning
(21)
Artificial Intelligence
(15)
Core AI
(15)
Natural Language Processing
(14)
Application Areas
(10)
Optimization & Theory
(8)
Resources & Methods
(8)
Deep Learning
(7)
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(7)
Healthcare & Medicine
(3)
Clinical
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(3)
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(2)
Keywords
large language model
(11)
dense retrieval
(3)
domain adaptation
(3)
knowledge distillation
(2)
electronic health record
(2)
few-shot learning
(2)
training data generation
(2)
parameter efficiency
(2)
llm agent
(2)
relation extraction
(2)
language model
(2)
decision-focused learning
(2)
uncertainty quantification
(1)
graph classification
(1)
unsupervised pretraining
(1)
text classification
(1)
reward modeling
(1)
contrastive learning
(1)
model distillation
(1)
variational inference
(1)
Papers
Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs
CVPR 2026
Towards Effective and Efficient Multi-Agent Language Model Systems: Foundations, Prospects, and Applications
ACL 2026
WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning
EACL 2026
DF$^2$: Distribution-Free Decision-Focused Learning
UAI 2025
DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment
EMNLP 2025
Efficient Evolutionary Search Over Chemical Space with Large Language Models
ICLR 2025
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
NAACL 2025
Aligning Large Language Models with Representation Editing: A Control Perspective
NeurIPS 2024
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models
ICML 2024
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers
EMNLP 2024
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
EMNLP 2024
HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification
EACL 2024
HYDRA: Model Factorization Framework for Black-Box LLM Personalization
NeurIPS 2024
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
ACL 2024
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning
EMNLP 2024
POLYIE: A Dataset of Information Extraction from Polymer Material Scientific Literature
NAACL 2024
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
ACL 2024
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
ICLR 2024
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process
AISTATS 2024
AdaPlanner: Adaptive Planning from Feedback with Language Models
NeurIPS 2023
Autoregressive Diffusion Model for Graph Generation
ICML 2023
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
NeurIPS 2023
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval
ACL 2023
ToolQA: A Dataset for LLM Question Answering with External Tools
NeurIPS 2023
End-to-end Stochastic Optimization with Energy-based Model
NeurIPS 2022
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select
EMNLP 2022
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
EMNLP 2020