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See them this Saturday at 7pm MST on OF
#BossBabe #OfficeAfterHours #DarkFeminine #XModel
(1) <a href="https://researchtrend.ai/papers/2511.19496" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">Xmodel-2.5: 1.3B Data-Efficient Reasoning SLM
(2) Xmodel-2.5: 1.3B Data-Efficient Reasoning SLM
🔍 More at researchtrend.ai/communities/MU
(1) <a href="https://researchtrend.ai/papers/2511.19496" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">Xmodel-2.5: 1.3B Data-Efficient Reasoning SLM
(2) Xmodel-2.5: 1.3B Data-Efficient Reasoning SLM
🔍 More at researchtrend.ai/communities/MU
(1) AgreeMate: Teaching LLMs to Haggle
(2) GAI: Generative Agents for Innovation
(3) Xmodel-2 Technical Report
(4) Can Large Language Models Adapt to Other Agents In-Context?
🔍 More at researchtrend.ai/communities/LLMAG
(1) AgreeMate: Teaching LLMs to Haggle
(2) GAI: Generative Agents for Innovation
(3) Xmodel-2 Technical Report
(4) Can Large Language Models Adapt to Other Agents In-Context?
🔍 More at researchtrend.ai/communities/LLMAG
paper: arxiv.org/abs/2411.10083
🔗: github.com/XiaoduoAILab/X…
Xmodel-1.5 is a 1-billion-parameter multilingual AI model trained on 2 trillion tokens, excelling in languages like Thai, Arabic, French, Chinese, and English.
paper: arxiv.org/abs/2411.10083
🔗: github.com/XiaoduoAILab/X…
Xmodel-1.5 is a 1-billion-parameter multilingual AI model trained on 2 trillion tokens, excelling in languages like Thai, Arabic, French, Chinese, and English.
Xmodel-1.5: An 1B-scale Multilingual LLM
https://arxiv.org/abs/2411.10083
Xmodel-1.5: An 1B-scale Multilingual LLM
https://arxiv.org/abs/2411.10083
Xmodel-LM Technical Report
https://arxiv.org/abs/2406.02856
Xmodel-LM Technical Report
https://arxiv.org/abs/2406.02856
Xmodel-1.5: An 1B-scale Multilingual LLM
https://arxiv.org/abs/2411.10083
Xmodel-1.5: An 1B-scale Multilingual LLM
https://arxiv.org/abs/2411.10083
Xmodel-LM Technical Report
https://arxiv.org/abs/2406.02856
Xmodel-LM Technical Report
https://arxiv.org/abs/2406.02856
Xmodel-LM Technical Report
https://arxiv.org/abs/2406.02856
Xmodel-LM Technical Report
https://arxiv.org/abs/2406.02856
Xmodel-2 is a large language model for reasoning tasks, sharing hyperparameters for experimentation and efficient training. Achieves state-of-the-art performance. Available on GitHub.
Read more: https://arxiv.org/html/2412.19638v1
Xmodel-2 is a large language model for reasoning tasks, sharing hyperparameters for experimentation and efficient training. Achieves state-of-the-art performance. Available on GitHub.
Read more: https://arxiv.org/html/2412.19638v1
xModel-KD: Cross-modal Knowledge Distillation for 3D Scene Perception using LiDAR
https://arxiv.org/abs/2605.30111
xModel-KD: Cross-modal Knowledge Distillation for 3D Scene Perception using LiDAR
https://arxiv.org/abs/2605.30111
Xmodel-VLM: A Simple Baseline for Multimodal Vision Language Model
https://arxiv.org/abs/2405.09215
Xmodel-VLM: A Simple Baseline for Multimodal Vision Language Model
https://arxiv.org/abs/2405.09215
Xmodel-VLM: A Simple Baseline for Multimodal Vision Language Model
https://arxiv.org/abs/2405.09215
Xmodel-VLM: A Simple Baseline for Multimodal Vision Language Model
https://arxiv.org/abs/2405.09215
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Xmodel-2 proves small models can reason like the big ones through smart training and architecture choices
Xmodel-2 is a 1.2B parameter model that achieves state-of-the-art performance in reasoning ta...
Xmodel-2 proves small models can reason like the big ones through smart training and architecture choices
Xmodel-2 is a 1.2B parameter model that achieves state-of-the-art performance in reasoning ta...
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