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Matching papers

BDH-CQ: In-Context Learning with Recurrent Latent Reasoning

548 upvotes · 10 AUG 2026 · Björn Engdahl, Adrian Kosowski, Jan Chorowski et al.

This paper introduces a new AI model called BDH-CQ that can learn from context and reason iteratively without verbalizing its steps. Practitioners might care because this model achieves a high level of performance while being very efficient, which could be useful for applications where resources are limited.

in-context learningrecurrent latent reasoningdeep learning modelsbenchmarkingartificial general intelligence

AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing

156 upvotes · 8 SEP 2026 · Ziyang Ma, Zhikang Niu, Wenming Tu et al.

This paper introduces AuK, an open-source model for speech generation and editing, which can perform a range of tasks with a single interface and achieves state-of-the-art performance on several tasks. Practitioners may care about this model for its potential to improve speech synthesis and editing capabilities in applications such as voice assistants and audio editing software.

speech generationspeech editingnatural language processingdeep learning modelsaudio processing