From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence
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2511.18538
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251
Toolkit - Papers
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Neural Machine Translation by Jointly Learning to Align and Translate
Paper • 1409.0473 • Published • 7 -
Attention Is All You Need
Paper • 1706.03762 • Published • 105 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 24 -
Hierarchical Reasoning Model
Paper • 2506.21734 • Published • 46 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 9 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 21 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 18 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 54 -
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 14 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 24 -
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
Paper • 2101.03961 • Published • 13 -
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
Paper • 2208.07339 • Published • 5 -
PaLM: Scaling Language Modeling with Pathways
Paper • 2204.02311 • Published • 3 -
A Survey on Large Language Model based Autonomous Agents
Paper • 2308.11432 • Published • 3 -
GPT-4 Technical Report
Paper • 2303.08774 • Published • 7 -
Large Language Models are Zero-Shot Reasoners
Paper • 2205.11916 • Published • 3 -
Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4
Paper • 2312.16171 • Published • 37 -
Toolformer: Language Models Can Teach Themselves to Use Tools
Paper • 2302.04761 • Published • 12 -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 24 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 429 -
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Paper • 2505.03335 • Published • 188 -
Qwen3 Technical Report
Paper • 2505.09388 • Published • 317 -
Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions
Paper • 2505.00675 • Published • 3 -
Small Language Models are the Future of Agentic AI
Paper • 2506.02153 • Published • 22 -
gpt-oss-120b & gpt-oss-20b Model Card
Paper • 2508.10925 • Published • 12 -
Large Language Diffusion Models
Paper • 2502.09992 • Published • 123 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 497 -
Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples
Paper • 2510.07192 • Published • 5 -
A Survey of Vibe Coding with Large Language Models
Paper • 2510.12399 • Published • 48 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 6 -
Denoising Diffusion Implicit Models
Paper • 2010.02502 • Published • 4 -
Score-Based Generative Modeling through Stochastic Differential Equations
Paper • 2011.13456 • Published • 2 -
Learning Transferable Visual Models From Natural Language Supervision
Paper • 2103.00020 • Published • 19 -
Hierarchical Text-Conditional Image Generation with CLIP Latents
Paper • 2204.06125 • Published • 3 -
Classifier-Free Diffusion Guidance
Paper • 2207.12598 • Published • 4