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…than AVIF with 47 times faster encoding, making it capable of real-time 1080p, 30fps CPU-only encoding . Our code and pre-trained models are available: https://github.com/UT-SysML/FRAPPE…
…The competition has also helped launch companies such as Dropbox, Discord, Mint, Fitbit, and Trello. Why founders are racing to apply In a competitive fundraising market, standing out has never been more…
…We train a transformer with a growable KVM cache and show it performs competitively on long-context tests with only subquadratic prefill time and sublinear state growth . KVM is implementable with standard…
…https://github.com/Mercury7353/EvoChamber View arXiv page View PDF GitHub 3 Add to collection Community We argue that multi-agent test-time evolution is not single-agent evolution replicated N times…
…We demonstrate this across text-to-panorama using Flux.1, Flux.2, and LTX-Video backbones, achieving competitive performance against baselines, all while remaining training-free . Project page: https://orhir.github.io…
…Our code is available at https://github.com/pat-jj/harness-1. View arXiv page View PDF GitHub 628 Add to collection Community 🔥 Introducing Harness-1 🔥 Harness-1 is a 20B open…
…Snapshots of Claude Code's source code were quickly backed up in a GitHub repository that has been forked more than 41,500 times so far, disseminating it to the masses and…
…reasonable time. The experimental code and links to the supplementary materials can be accessed through the GitHub repository: https://github.com/SibNN/SLM- RAG -EVAL. View arXiv page View PDF GitHub 2…
…Across image classification and language modeling benchmarks, FAAST matches or exceeds backprop-based adaptation while reducing adaptation time by over 90% and is competitive to memory/context-based adaptation while saving memory…
…Empirically, QGF outperforms prior test-time RL methods on single-task and goal-conditioned offline RL benchmarks with high-dimensional action spaces, and is competitive with state-of-the-art training-time…