LLM Research Topics (2026)

LLM Research 

1. Architecture and Model Design
2. Efficient Training and Scaling
3. Inference Efficiency and KV Cache
4. Sparse Attention and Long Context
5. Reasoning and Test-Time Compute
6. Reinforcement Learning and RLVR
7. Agent Systems and Tool Use
8. Coding Agents and Software Engineering
9. Diffusion Language Models
10. Model Evaluation and Benchmarks

Core Topics Research

1. Inference-Time Compute & Reasoning
2. Hybrid & Alternative Architectures
3. Long-Context & Sparse Attention
4. Agent Systems & Tool Use

Themes

1. Constitutional Distillation
2. Multimodal Grounding
3. Data Curation at Scale