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Yankai Lin — most-cited papers & profile · Graph Learning
← authors
·
overview
Yankai Lin
14
papers ·
203
citations ·
43
h-index
Renmin University of China
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Tool Learning With Foundation Models
2023 · 118 citations
RAP: Robustness-aware Perturbations For Defending Against Backdoor Attacks On NLP Models
2021 · 58 citations
Distilling Rule-based Knowledge Into Large Language Models
2023 · 10 citations
ProAgent: From Robotic Process Automation to Agentic Process Automation
2023 · 10 citations
LaSeR: Reinforcement Learning with Last-Token Self-Rewarding
2025 · 7 citations
Improved Large Language Diffusion Models
2026
ViPER: Empowering the Self-Evolution of Visual Perception Abilities in Vision-Language Model
2025
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
2025
MiniCPM4: Ultra-Efficient LLMs on End Devices
2025
DeepCritic: Deliberate Critique with Large Language Models
2025
Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs
2024
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
2023
Advancing LLM Reasoning Generalists with Preference Trees
2024
Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
2024
Topics
Training Techniques
Fine-Tuning
Evaluation
Reinforcement Learning
Safety & Alignment
Efficiency
Model Architecture
Tool Use
Adversarial ML
cs.CR