Zhichao Xu
21 papers · 2024–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (45) π Conference Polyglot (5) π Interdisciplinary Bridge π Renaissance Researcher (6) π§ Keyword Pioneer
π§
Keyword Pioneer
π₯
Mega-Team
(21)
π
Keyword Champion
(2)
π
Century Club
(13)
ποΈ
Keyword Collector
(103)
β‘
Prolific Year
(10)
Conferences
EMNLP (5)
EACL (4)
AACL (3)
IJCNLP (3)
AAAI (2)
ACL (2)
NAACL (2)
Top co-authors
Keywords
large language model
(9)
information retrieval
(5)
reinforcement learning
(3)
knowledge distillation
(3)
contrastive learning
(2)
language model
(2)
text reranking
(2)
cross-lingual consistency
(2)
learned sparse retrieval
(2)
text generation
(2)
dense retrieval
(2)
model quantization
(2)
causal language model
(2)
question answering
(1)
information extraction
(1)
transfer learning
(1)
in-context learning
(1)
data augmentation
(1)
policy optimization
(1)
bias detection
(1)
Papers
Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs
AAAI 2026
ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval
AAAI 2026
Reinforcement Learning for Self-Improving Agent with Skill Library
ACL 2026
Learning to Ideate for Machine Learning Engineering Agents
EACL 2026
BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation
EACL 2026
Diffusion Language Model Inference with Monte Carlo Tree Search
EACL 2026
SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph
EACL 2026
Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate
IJCNLP 2025
CSPLADE: Learned Sparse Retrieval with Causal Language Models
AACL 2025
State Space Models are Strong Text Rerankers
NAACL 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
AACL 2025
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
ACL 2025
A Systematic Survey of Automatic Prompt Optimization Techniques
EMNLP 2025
SLOT: Structuring the Output of Large Language Models
EMNLP 2025
IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs
EMNLP 2025
CSPLADE: Learned Sparse Retrieval with Causal Language Models
IJCNLP 2025
Distillation versus Contrastive Learning: How to Train Your Rerankers
AACL 2025
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression
EMNLP 2024
Multi-dimensional Evaluation of Empathetic Dialogue Responses
EMNLP 2024
In-Context Example Ordering Guided by Label Distributions
NAACL 2024