LLM Research
- Architecture and Model Design
- Efficient Training and Scaling
- Inference Efficiency and KV Cache
- Sparse Attention and Long Context
- Reasoning and Test-Time Compute
- Reinforcement Learning and RLVR
- Agent Systems and Tool Use
- Coding Agents and Software Engineering
- Diffusion Language Models
- Model Evaluation and Benchmarks
Core Topics Research
- Inference-Time Compute & Reasoning
- Hybrid & Alternative Architectures
- Long-Context & Sparse Attention
- Agent Systems & Tool Use
Themes
- Constitutional Distillation
- Multimodal Grounding
- Data Curation at Scale
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