mlsanity
A map of machine learning research.
476k papers · 21 areas
Busiest: Software engineering coding agents →Areas
267 directions · week from Mon 19 Oct
- World modelsBusiest: Embodied and robot world models · Video-generation world models and simulators · Latent predictive world models2,62837
- LLM reasoningBusiest: Test-time compute and efficient thinking · Reinforcement learning for reasoning · Spatial and embodied reasoning18,12970
- Multimodal LLMs / vision-language modelsBusiest: Embodied and 3D vision-language models · Video understanding with MLLMs · VLM benchmarks and visual reasoning12,36041
- Vision-language-action modelsBusiest: Efficient VLA inference and adaptation · Failure recovery and robustness · World model-based VLA1,50916
- Retrieval-augmented generationBusiest: RAG robustness and adaptive retrieval · RAG pipeline design and evaluation · Multimodal RAG4,2188
- Diffusion modelsBusiest: Discrete and text diffusion · Diffusion foundations and sampling · Video generation16,57254
- End-to-end autonomous drivingBusiest: Reasoning VLA and VLM driving policies · Reinforcement learning for driving · Generative simulation for driving2,0337
- LLM agents and tool useBusiest: Software engineering coding agents · Web, search, and research agents · Reinforcement learning for LLM agents15,835143
- LLM alignment / RLHF / preference optimisationBusiest: LLM preference optimization methods · Safety alignment and jailbreak attacks · Reward hacking and misspecification5,32227
- Mixture-of-expertsBusiest: MoE large language models · Expert routing strategies · MoE theory and gating functions2,60716
- State-space sequence models (S4, Mamba)Busiest: Mamba for medical image analysis · Video, motion and generative Mamba models · Speech and audio SSMs1,5305
- Synthetic data and self-improvement for LLMsBusiest: Self-evolving LLM agents · LLM synthetic data generation · Self-rewarding alignment and self-training1,62613
- Offline RL and imitation learning from dataBusiest: Offline RL algorithms · Robot manipulation imitation learning · Language-conditioned policies and VLAs3,7878
- Efficient LLM inference and servingBusiest: Speculative decoding · KV cache optimization · Visual token pruning in multimodal models3,18616
- LLM safety and securityBusiest: Safety alignment, refusal and guardrails · Prompt injection and agent security · Machine unlearning6,76529
- Mechanistic interpretabilityBusiest: Activation steering methods · Knowledge and representations inside LLMs · SAE features and their applications1,59110
- Knowledge distillationBusiest: On-policy and self-distillation for LLMs · Knowledge distillation for LLMs · Detection and dense prediction distillation3,51324
- Deep reinforcement learning methodsBusiest: Deep RL algorithms and representations · RL theory and sample complexity · RL for robot navigation and UAV control7,50944
- 3D reconstruction and neural renderingBusiest: 3D Gaussian splatting methods · 3D scene stylization · Neural radiance field methods7,1414
- LLM pre-training data and scaling lawsBusiest: Data mixtures and data selection · Optimizers and stability in LLM pre-training · Pre-training corpora and quality filtering5971
- Speech and audio language modelsBusiest: Speech recognition models and training · Multilingual and low-resource ASR · ASR evaluation, bias and atypical speech8,98015