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Yankai Lin — most-cited papers & profile · Generative Models
← authors
·
overview
Yankai Lin
29
papers ·
75
citations ·
43
h-index
Renmin University of China
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
RAP: Robustness-aware Perturbations For Defending Against Backdoor Attacks On NLP Models
2021 · 58 citations
ProAgent: From Robotic Process Automation to Agentic Process Automation
2023 · 10 citations
LaSeR: Reinforcement Learning with Last-Token Self-Rewarding
2025 · 7 citations
DelTA: Discriminative Token Credit Assignment for Reinforcement Learning from Verifiable Rewards
2026
ViPER: Empowering the Self-Evolution of Visual Perception Abilities in Vision-Language Model
2025
MiniCPM4: Ultra-Efficient LLMs on End Devices
2025
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
2025
LaSeR: Reinforcement Learning with Last-Token Self-Rewarding
2025
DeepCritic: Deliberate Critique with Large Language Models
2025
Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning
2025
CokeBERT: Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models
2020
CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models
2021
Decouple knowledge from parameters for plug-and-play language modeling
2023
UltraFeedback: Boosting Language Models with Scaled AI Feedback
2023
Don't Make Your LLM an Evaluation Benchmark Cheater
2023
Top co-authors
Cheng Yin
· 1
Sikyuen Tam
· 1
Wang Xu
· 1
Xiangrui Zeng
· 1
Zhiyuan Liu
· 1
Zhouping Yin
· 1
Topics
Training Techniques
Fine-Tuning
Evaluation
Reinforcement Learning
Efficiency
Safety & Alignment
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In-Context Learning
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