Yaxin Du
7 papers · 2024–2026 · 5 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.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(4)
Core AI
(4)
Application Areas
(3)
Learning Paradigms · Artificial Intelligence
(3)
Learning Paradigms · Machine Learning
(2)
Deep Learning
(1)
Natural Language Processing
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Optimization & Theory
(1)
Resources & Methods
(1)
Keywords
large language model
(5)
federated learning
(4)
instruction tuning
(4)
preference alignment
(1)
multilingual nlp
(1)
data augmentation
(1)
code generation
(1)
single llm inference
(1)
data heterogeneity
(1)
language model
(1)
federated instruction tuning
(1)
software development
(1)
tool learning
(1)
web agent
(1)
domain adaptation
(1)
multi-agent system
(1)
retrieval-based augmentation
(1)
executable code
(1)
data quality control
(1)
cross-client domain coverage
(1)
Papers
MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools
ACL 2026
FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models
ACL 2025
MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
ICML 2025
Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models
EMNLP 2025
Self-Evolving Multi-Agent Collaboration Networks for Software Development
ICLR 2025
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation
ICLR 2024
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
NeurIPS 2024