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...
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