We have 3 of 5 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
We present Hunyuan-A13B, an open-source large language model based on a Mixture-of-Experts architecture. It contains 80 billion total parameters but activates only 13 billion during inference, balancing model capability, computational efficiency, and deployment cost. The model is pretrained on a rigorously filtered 20T...
Transformer-based large language models often suffer from inter-layer parameter redundancy, where functional transformations are redundantly learned across network depths. We propose CS-MoE, a novel Transformer architecture featuring cross-layer expert sharing to address this inefficiency. Deviating from the widely use...
The Invo-cation Refiner is introduced, a specialized post-processing module designed to enhance the tool-use reliability of base LLMs without directly training on them, and is highlighted as a plug-and-play solution for improving the operational reliability of LLM-based agents.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
