Presents a routing mechanism for coding agents that recovers from failures while respecting compute budgets, improving efficiency and success rates in auto-coding tasks.
Introduces a method for controlling specific regions in diffusion transformer outputs using appearance pointers, enabling fine-grained multimodal image editing and generation.
This paper proposes an evidence-aware reinforcement learning approach to reduce repetitive copying behavior in long-context LLM reasoning tasks, demonstrating improvements in factual grounding.
Poolside released Laguna S 2.1, a 120B parameter model claimed to be cheaper than DeepSeek V4 Flash and better than V4 Pro. The announcement was made on r/LocalLLaMA with community validation.
A new optimizer called SkewAdam reduces memory consumption of mixture-of-experts models by 97% using a tiered optimization strategy, enabling a 6.7B MoE to fit on a single 40GB GPU. The work was posted on r/MachineLearning as a research result.