…large language model instruction-following capabilities through iterative difficulty adaptation and co-training of instructor and follower components. AI-generated summary Instruction following is a fundamental capability of large language models (LLMs…
…Combining stochastic processes with diffusion models addresses combinatorial complexity limitations, accelerating training and enabling asynchronous generation across data modalities. AI-generated summary In this paper, we study an under-explored but important…
Papers arxiv:2605.05724 Auto Research with Specialist Agents Develops Effective and Non-Trivial Training Recipes Published on May 7 Submitted by Ethan Ning on May 8 Carnegie Mellon University Authors: Jingjie…
…https://arxivlens.com/PaperView/Details/efficient-training-on-multiple-consumer-gpus-with-roundpipe-5443-dde1eae1 Covers the executive summary, detailed methodology, and practical applications. Get this paper in your agent: hf papers…
…in autoregressive language model adaptation through integrated mechanisms for supervision reliability, representation alignment, and training stability. AI-generated summary Self-distillation (SD) offers a promising path for adapting large language models (LLMs…
…adapts reasoning efficiency during training by using online calibration of correctness-efficiency trade-offs and adaptive problem-specific length targets to improve mathematical reasoning accuracy and efficiency. AI-generated summary Large reasoning…
…image content and physics systems. AI-generated summary Creating images from noise is image generation ; reconstructing fine details from coarse inputs is super-resolution . Despite their practical differences, both can be understood…
…Open-ended coding remains a weak spot for LLMs, largely because open-ended training problems are scarce and expensive to construct. Our goal is to synthesize open-ended coding problems at scale…
…AI-generated summary Reconstructing the absolute 3D pose and shape of the hands from the user's viewpoint using a single head-mounted camera is crucial for practical egocentric interaction in AR…
…The following papers were recommended by the Semantic Scholar API Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts (2026) Path-Constrained Mixture-of-Experts (2026) Preserving Long-Tailed Expert…