AI

AI Papers

LLM

• CMMLU: Measuring massive multitask language understanding in Chinese
• CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
• CROSSCODEEVAL: A Diverse and Multilingual Benchmark for Cross-File Code Completion
• CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution
• CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
• DeepSeek-Coder: When the Large Language Model Meets Programming – The Rise of Code Intelligence
• DemoCraft: Using In-Context Learning to Improve Code Generation in Large Language Models
• Efficient Training of Language Models to Fill in the Middle
• Evaluating Large Language Models Trained on Code
• Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks
• InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation
• LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models
• McEval: Massively Multilingual Code Evaluation
• Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
• Qwen2.5-Coder Technical Report
• SGLang: Efficient Execution of Structured Language Model Programs

Neural Network

• Intention Recognition with Recurrent Neural Networks for Dynamic Human-Robot Collaboration

Transformer Model

• Attention is All You Need (Reading Notes)
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
• Transformed-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach
• Transformer++
• Transformers: State-of-the-Art Natural Language Processing