Zhichao Xu
18 papers · 2024–2026 · 6 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (40) 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🏆 Keyword Champion (2) 👥 Mega-Team · Squad
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Prolific Year · Productive
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Research topics
Machine Learning
(15)
Artificial Intelligence
(12)
Application Areas
(10)
Core AI
(10)
Natural Language Processing
(9)
Deep Learning
(6)
Optimization & Theory
(6)
Applications
(5)
Generation
(4)
Learning Types · Deep Learning
(3)
Learning Types · Machine Learning
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Resources & Methods
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Architectures
(2)
Core Methods
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Learning Paradigms
(2)
Keywords
large language model
(8)
information retrieval
(3)
reinforcement learning
(3)
language model
(2)
text reranking
(2)
text generation
(2)
knowledge distillation
(2)
bayesian inference
(1)
policy optimization
(1)
contrastive learning
(1)
in-context learning
(1)
information extraction
(1)
question answering
(1)
prompt engineering
(1)
data augmentation
(1)
conversational search
(1)
model selection
(1)
bias detection
(1)
toxicity detection
(1)
text classification
(1)
Papers
BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation
EACL 2026
ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval
AAAI 2026
Diffusion Language Model Inference with Monte Carlo Tree Search
EACL 2026
Learning to Ideate for Machine Learning Engineering Agents
EACL 2026
Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs
AAAI 2026
Reinforcement Learning for Self-Improving Agent with Skill Library
ACL 2026
SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph
EACL 2026
A Systematic Survey of Automatic Prompt Optimization Techniques
EMNLP 2025
CSPLADE: Learned Sparse Retrieval with Causal Language Models
IJCNLP 2025
Distillation versus Contrastive Learning: How to Train Your Rerankers
IJCNLP 2025
Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate
IJCNLP 2025
IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs
EMNLP 2025
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
ACL 2025
SLOT: Structuring the Output of Large Language Models
EMNLP 2025
State Space Models are Strong Text Rerankers
NAACL 2025
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression
EMNLP 2024
In-Context Example Ordering Guided by Label Distributions
NAACL 2024
Multi-dimensional Evaluation of Empathetic Dialogue Responses
EMNLP 2024