Awesome LLM Research Collections
Curated LLM research map
A browsable Quarto edition of the repository README, organized for fast scanning across papers, projects, code, and model resources.
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Research Categories
Attention
Transformer internals, attention variants, KV/cache behavior, and depth-wise information flow.
LLMs
Foundation model reports, inference methods, long-context language modeling, coding, and reasoning systems.
Multimodal LLMs
Vision-language, video-language, and VLA research that connects perception with language reasoning.
Embeddings
Representation learning, retrieval, semantic matching, and embedding model research.
SFT
Supervised fine-tuning methods, data recipes, token weighting, and reasoning generalization studies.
Training
Reusable training recipes, SFT methods, data selection, distillation, and optimization practice.
Reinforcement Learning
Reward modeling, RLHF-style optimization, reasoning RL, agent RL, and VLA policy learning.
Agents Application
Agent systems, tool use, memory, AI research workflows, and reusable skill ecosystems.
Vision
Computer vision methods that are useful background for modern multimodal systems.
Auto-Prompt
Prompt optimization, evaluator prompting, prompt ensembles, and test-time prompt learning.
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