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machine learning Oct 20 Yelp can now call on your behalf to check wait times at a restaurant Yelp introduces Check for Me feature that lets AI agent call restaurants on user's behalf Over the last few weeks personal assistants like Instinct Fo and Muse have enabled users to call businesses for customer support and appoint... machine learning Oct 20 Show HN: Local embedding and ranking for tech feeds A calm localhost homepage for science and tech feeds Many readers tire of social feeds optimized for engagement rather than substance. okaeri offers an alternative: a localhost homepage that gathers the latest papers blogs forums... machine learning Oct 20 Text-to-Image Generative Modeling Without Language Pretraining The dominant paradigm for text-to-image (T2I) generation has long relied on internet-scale language pretraining. Models such as those in the LlamaGen and JiT-T2I families incorporate large language model components pretrained on v... machine learning Oct 20 Reinforcement Learning with Visually Attributable On-Policy Self-Distillation Multimodal reinforcement learning with verifiable rewards (RLVR) provides reliable task-level supervision, yet offers limited guidance for localizing errors in visual reasoning. On-policy self-distillation (OPSD) complements this... machine learning Oct 19 MLIR CodeGen Dialects for Machine Learning Compilers (2022) MLIR has become the de facto infrastructure for building machine learning compilers, not because it was designed specifically for ML, but because its dialect system solves the composability problems that make ML compiler stacks so... machine learning Oct 19 Rethinking the design space of Vanilla Pixel Diffusion Transformers Pixel-space diffusion models have re-emerged as an alternative to latent diffusion, eliminating the need for a separately trained autoencoder and its associated bottleneck. A prior result from JiT demonstrated that a vanilla diffu... machine learning Oct 19 CocoRNA: Collective RNA Design with Cooperative Multi-agent Reinforcement Learning Designing RNA sequences that reliably fold into specific secondary structures is essential for understanding their biological functions but remains a challenging computational problem. RNA, or ribonucleic acid, stores genetic info... machine learning Oct 19 Steering beyond Language: Improving Multilingual Training-Free Text Embeddings via Paired-Residual Subspace Removal Deriving text embeddings directly from frozen large language models has emerged as a promising direction, yet existing methods focus almost exclusively on English, leaving multilingual settings largely unexplored. This work presen... machine learning Oct 19 FuTransformer: FP8 prefill and INT4 decode for Llama-style inference on Hopper Sparse autoencoders (SAEs) explain foundation model representations by decomposing activations into sparse combinations of learned dictionary atoms. However, the learned dictionaries can vary across training runs, limiting the rel... machine learning Oct 16 SoftCache: Adaptive Step Size Caching for Diffusion Transformers Diffusion and flow models generate a sample over iterative steps, each a full pass through a large network, and that pass dominates generation cost. Training-free caching accelerates them by reusing activations from recent evaluat...