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Fandong Meng — most-cited papers & profile · Large Language Models
← authors
·
overview
Fandong Meng
32
papers ·
118
citations ·
31
h-index
Tencent (China)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Accelerating Inference In Large Language Models With A Unified Layer Skipping Strategy
2024 · 17 citations
Multilingual Knowledge Editing With Language-agnostic Factual Neurons
2024 · 16 citations
Improving Machine Translation With Large Language Models: A Preliminary Study With Cooperative Decoding
2023 · 14 citations
Comments As Natural Logic Pivots: Improve Code Generation Via Comment Perspective
2024 · 4 citations
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
2023 · 1 citations
Cross-layer Attention Sharing for Pre-trained Large Language Models
2024 · 1 citations
How Far Ahead Do LLMs Plan? Uncovering the Latent Horizon in Chain-of-Thought Reasoning
2026
Investigating Cross-Modal Skill Injection: Scenarios, Methods, and Hyperparameters
2026
No Global Plan in Chain-of-Thought: Uncover the Latent Planning Horizon of LLMs
2026
HGMEM: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling
2025
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models
2025
LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information
2025
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning
2025
ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement Learning
2025
Conan: Progressive Learning to Reason Like a Detective over Multi-Scale Visual Evidence
2025
Top co-authors
Jie Zhou
· 19
Hao Zhou
· 4
Jiali Zeng
· 4
Mo Yu
· 4
Xu Sun
· 3
Chenze Shao
· 2
Chulun Zhou
· 2
Chunkang Zhang
· 2
Guoxin Yu
· 2
Jiaan Wang
· 2
Jinsong Su
· 2
Lean Wang
· 2
Topics
Training Techniques
Model Architecture
Efficiency
Fine-Tuning
Evaluation
In-Context Learning
Vision-Language
Reinforcement Learning
Code
RAG