… I would love to hear the community's thoughts on this! Happy to answer any questions about the environment design or the verification pipeline! …
… I have a question for concurrency when use tts model and stt model. How does each type of model handle multiple requests at the same time. e.g. batching technique ? cpu-only threading .... @ freddyaboulton · Hi @ MRU4913 ! …
… We further analyze the contributions of different brain regions across question types. View arXiv page View PDF Project page Add to collection Community A step toward connecting brain signals and large language models. …
… View arXiv page View PDF GitHub 4 Add to collection Community 📖 Overview MemReread is a memory-guided LLM agent that decomposes the task to isolate its highest-priority sub-question based on its memory, then performs rereading guided by the generated sub-question, and directly answers according to … …
… View arXiv page View PDF Project page GitHub 5 Add to collection Community A controlled framework for evaluating whether VLMs know when not to answer spatial questions. …
… We argue that the ML community should treat inference as energy-to-token production . …
… AI-generated summary Retrieval-Augmented Generation RAG has become a standard approach for knowledge-intensive question answering, but existing systems remain brittle on multi-hop questions , where solving the task requires chaining multiple retrieval and reasoning steps. …
… Code and data are available at https://github.com/XuZhao0/fineverify View arXiv page View PDF GitHub 3 Add to collection Community Code and data are available at: https://github.com/XuZhao0/fineverify The decomposition is the strong move — turning a holistic "is this good?" into local sub-question … …
… I have been scratching my head about this : because i've been using the kernels-community/vllm-flash-attn3 kernel , and i was wondering : is it right to think that any kernel built with this kernel-builder and uploaded to a ny huggingface model repo is callable by the huggingface/kernels library ? … …
… View arXiv page View PDF GitHub 1 Add to collection Community Applying reinforcement learning to improve factual accuracy in knowledge-intensive question answering faces a reward design dilemma. …