mlsanity
A map of machine learning research.
485k papers · 21 areas
Busiest: Software engineering coding agents →Areas
267 directions · week from Mon 9 Nov
- World modelsBusiest: Latent dynamics models and model-based RL · Embodied and robot world models · Video-generation world models and simulators2,62818
- LLM reasoningBusiest: Test-time compute and efficient thinking · Reasoning for agents, planning and code · Reasoning benchmarks and evaluation18,12925
- Multimodal LLMs / vision-language modelsBusiest: Prompt learning and adaptation of CLIP · VLM benchmarks and visual reasoning · MLLM training and visual instruction tuning12,36012
- Vision-language-action modelsBusiest: Efficient VLA inference and adaptation · Generalist VLA models and benchmarks · Reinforcement learning and post-training1,5098
- Retrieval-augmented generationBusiest: Agentic RAG, agents and memory · Hallucination detection in RAG · RAG pipeline design and evaluation4,2182
- Diffusion modelsBusiest: Diffusion foundations and sampling · Flow matching, time series and science · Audio, speech and music16,57216
- End-to-end autonomous drivingBusiest: Imitation-learning end-to-end planners · Reasoning VLA and VLM driving policies · End-to-end system architecture2,0332
- LLM agents and tool useBusiest: Software engineering coding agents · Agent threats, guardrails and governance · Multimodal and embodied agents15,83555
- LLM alignment / RLHF / preference optimisationBusiest: LLM preference optimization methods · Reward modeling and RLHF · Human values and AI feedback alignment5,3226
- Mixture-of-expertsBusiest: MoE large language models · Efficient MoE training and inference systems · MoE in reinforcement learning and robotics2,6073
- State-space sequence models (S4, Mamba)Busiest: Core SSM architectures for language · Physiological signal modeling · Mamba for medical image analysis1,5303
- Synthetic data and self-improvement for LLMsBusiest: Self-evolving LLM agents · LLM synthetic data generation · Self-rewarding alignment and self-training1,6261
- Offline RL and imitation learning from dataBusiest: Imitation learning methods · Robot manipulation imitation learning · Diffusion and flow policies for offline RL3,7874
- Efficient LLM inference and servingBusiest: KV cache optimization · Speculative decoding · Visual token pruning in multimodal models3,1868
- LLM safety and securityBusiest: Machine unlearning · Prompt injection and agent security · Watermarking generated content and models6,7656
- Mechanistic interpretabilityBusiest: Probing deception, bias and beliefs · Circuits and mechanistic analysis · Activation steering methods1,5912
- Knowledge distillationBusiest: On-policy and self-distillation for LLMs · Multimodal distillation · General knowledge distillation methods3,51310
- Deep reinforcement learning methodsBusiest: Deep RL algorithms and representations · RL theory and sample complexity · RL for robot locomotion and manipulation7,50919
- 3D reconstruction and neural renderingBusiest: 3D Gaussian splatting methods · 3D scene stylization · Neural radiance field methods7,1414
- LLM pre-training data and scaling lawsBusiest: Optimizers, stability and training efficiency · Data mixtures and data selection · Pre-training corpora and quality filtering5970
- Speech and audio language modelsBusiest: Speech recognition models and training · Multilingual and low-resource ASR · ASR evaluation, bias and atypical speech8,98015