Tao Fan
9 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4) π Cross-Pollinator (12) π Academic Marathon (5)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(17)
Conferences
ACL (4)
EMNLP (2)
AAAI (1)
COLING (1)
JMLR (1)
Top co-authors
Research topics
Keywords
large language model
(5)
federated learning
(4)
small language model
(3)
knowledge distillation
(3)
scaling law
(2)
privacy protection
(2)
model compression
(2)
distributed learning
(1)
synthetic data generation
(1)
model pruning
(1)
collaborative learning
(1)
data heterogeneity
(1)
language model
(1)
parameter-efficient fine-tuning
(1)
inference optimization
(1)
retrieval-augmented generation
(1)
time series representation
(1)
time series representation learning
(1)
cost efficiency
(1)
multi-agent system
(1)
Papers
The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG
ACL 2026
Inference Scaling Law for Retrieval Augmented Generation
AAAI 2026
InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge Profiling
ACL 2026
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
ACL 2026
MERIT: Multi-Agent Collaboration for Unsupervised Time Series Representation Learning
ACL 2025
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models
COLING 2025
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation
EMNLP 2025
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
EMNLP 2025
FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection
JMLR 2021