ictnlp/LLaMA-Omni
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LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.
[EMNLP 2026 Main] Speaking While Listening: a survey and empirical audit of full-duplex spoken dialogue systems — L0–L3 architectural hierarchy, T×I×R interaction ontology, and a five-state decision machine, with a curated list of models, datasets, and benchmarks.
$ git clone https://github.com/MM-Speech/DuplexSurvey.git▲ +1 ★ this week
LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.
Must-read Papers on Large Language Model (LLM) Planning.
Must-read Papers on Large Language Model (LLM) Continual Learning
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A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
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Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
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The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Data from GitHub · snapshot Nov 13, 2026