Robuta

https://arxiv.org/abs/2412.17256 [2412.17256] B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners Abstract page for arXiv paper 2412.17256: B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners https://cognitive-reasoners.epfl.ch/ Mixture of Cognitive Reasoners Human intelligence emerges from the interaction of specialized brain networks, each dedicated to distinct cognitive functions such as language processing,... mixturecognitive https://arxiv.org/abs/2205.11916?ref=blog.mlq.ai [2205.11916] Large Language Models are Zero-Shot Reasoners Abstract page for arXiv paper 2205.11916: Large Language Models are Zero-Shot Reasoners large language modelszero shot https://reason.com/2010/11/04/reasoners-on-the-tube-nick-gil-6/ Reasoners on The Tube: Nick Gillespie on Judge Nap's Freedom Watch! Nov 4, 2010 - Reason's Nick Gillespie appeared on Judge Napolitano's Freedom Watch on Fox Business to discuss how the Tea Party put more fiscally responsible... on thenick gillespietube https://reason.com/2010/12/10/reasoners-on-the-tube-nick-gil-3/ Reasoners on the Tube: Nick Gillespie on Red Eye with Greg Gutfeld, Talking Wikileaks, NASA,... Dec 10, 2010 - Nick Gillespie, editor in chief of Reason.tv and Reason.com, appeared on Fox News' Red Eye. Topics included Wikileaks, Aaron Sorkin's... https://harmandotpy.github.io/v1-verification/ V1: Unifying Generation and Self-Verification for Parallel Reasoners V1: A framework that unifies generation and self-verification through efficient pairwise ranking for LLMs. self verificationunifyinggenerationparallel https://eprints.illc.uva.nl/id/eprint/2193/ DS-2021-07: Logical Models for Bounded Reasoners - ILLC Preprints and Publications https://ikodoh.github.io/Flipped-VQA Large Language Models are Temporal and Causal Reasoners for Video Question Answering We investigate that pretrained LLMs' knowledge is a strong prior for temporal and causal reasoning on challenging VideoQA and propose a novel framework,... large language models https://scholars.duke.edu/publication/1648061 Scholars@Duke publication: Seeing Gray in a World of Black and White: Children Appreciate Reasoners... https://huggingface.co/papers/2405.15071 Paper page - Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of... Join the discussion on this paper page