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Wei Lin — most-cited papers & profile · Large Language Models
← authors
·
overview
Wei Lin
55
papers ·
241
citations ·
27
h-index
Alibaba Group (United States) · Alibaba Group (China)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
CDRRM: Contrast-Driven Rubric Generation for Reliable and Interpretable Reward Modeling
2026
ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning
2026
Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents
2026
DaGRPO: Rectifying Gradient Conflict in Reasoning via Distinctiveness-Aware Group Relative Policy Optimization
2025
SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning
2025
PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal Inconsistencies
2025
Large Language Models Could Be Rote Learners
2025
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding
2024
Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization
2024
Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache
2024
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models
2024
Top co-authors
Guojun Yin
· 5
Jiajun Chai
· 4
Xiaohan Wang
· 3
James Glass
· 2
M. Jehanzeb Mirza
· 2
Rogerio Feris
· 2
Sivan Doveh
· 2
Bin Lin
· 1
Bin Yin
· 1
Chenheng Zhang
· 1
Chen Zhang
· 1
Dengcan Liu
· 1
Topics
Training Techniques
Evaluation
Efficiency
Fine-Tuning
Reinforcement Learning
Model Architecture
Safety & Alignment
In-Context Learning
Large
Supervised