Awesome Large Language Models
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Baotian Hu — most-cited papers & profile · Large Language Models
← authors
·
overview
Baotian Hu
16
papers ·
45
citations ·
0
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Separate The Wheat From The Chaff: Model Deficiency Unlearning Via Parameter-efficient Module Operation
2023 · 43 citations
SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD
2026
LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding
2026
Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning
2026
KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking
2026
Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented Generation
2025
VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization
2025
ComfyUI-R1: Exploring Reasoning Models for Workflow Generation
2025
Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Data
2025
Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generation
2024
Top co-authors
Min Zhang
· 8
Meishan Zhang
· 4
Dongfang Li
· 3
Longyue Wang
· 3
Xinshuo Hu
· 3
Yunxin Li
· 3
Haoyuan Shi
· 2
Shouzheng Huang
· 2
Wenhan Luo
· 2
Xinping Zhao
· 2
Xinyu Chen
· 2
Zhenran Xu
· 2
Topics
Efficiency
Model Architecture
Training Techniques
Fine-Tuning
Reinforcement Learning
Evaluation
RAG
Code
In-Context Learning
Reinforcement