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Yankai Lin — most-cited papers & profile · Large Language Models
← authors
·
overview
Yankai Lin
31
papers ·
296
citations ·
43
h-index
Renmin University of China
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Distilling Rule-based Knowledge Into Large Language Models
2023 · 10 citations
DARC: Decoupled Asymmetric Reasoning Curriculum for LLM Evolution
2026
AgentCPM-Report: Interleaving Drafting and Deepening for Open-Ended Deep Research
2026
AgentProcessBench: Diagnosing Step-Level Process Quality in Tool-Using Agents
2026
DelTA: Discriminative Token Credit Assignment for Reinforcement Learning from Verifiable Rewards
2026
MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction
2026
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
2025
MiniCPM4: Ultra-Efficient LLMs on End Devices
2025
LaSeR: Reinforcement Learning with Last-Token Self-Rewarding
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
Configurable Foundation Models: Building LLMs from a Modular Perspective
2024
Top co-authors
Maosong Sun
· 6
Zhiyuan Liu
· 6
Wenkai Yang
· 5
Xin Cong
· 5
Jie Zhou
· 4
Shuo Wang
· 4
Chaojun Xiao
· 3
Ruobing Xie
· 3
Xu Han
· 3
Yaxi Lu
· 3
Dahai Li
· 2
Ganqu Cui
· 2
Topics
Training Techniques
Fine-Tuning
Reinforcement Learning
Model Architecture
Evaluation
Efficiency
In-Context Learning
Safety & Alignment
Agentic
RL