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unilm  authored a paper 1 day ago
MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems
unilm  authored a paper 1 day ago
Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts
unilm  authored a paper 1 day ago
Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge
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Papers

WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks

DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems

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Articles

microsoft 's collections 24

MediPhi
A collection of SLMs based on Phi3.5-mini-instruct adapted to clinical natural language processing tasks: https://arxiv.org/abs/2505.10717
TAPEX
TAPEX is the state-of-the-art table pre-training models which can be used for table-based question answering and table-based fact verification.
GIT
GIT (Generative Image-to-text Transformer) is a model useful for vision-language tasks such as image/video captioning and question answering.
Phi-3
Phi-3 family of small language and multi-modal models. Language models are available in short- and long-context lengths.
Controllable Safety Alignment
Artifacts for the paper "Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements" (https://arxiv.org/abs/2410.08968)
SpeechT5
The SpeechT5 framework consists of a shared seq2seq and six modal-specific (speech/text) pre/post-nets that can address a few audio-related tasks.
Table Transformer
The Table Transformer (TATR) is a series of object detection models useful for table extraction from PDF images.
MediPhi
A collection of SLMs based on Phi3.5-mini-instruct adapted to clinical natural language processing tasks: https://arxiv.org/abs/2505.10717
Phi-3
Phi-3 family of small language and multi-modal models. Language models are available in short- and long-context lengths.
Controllable Safety Alignment
Artifacts for the paper "Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements" (https://arxiv.org/abs/2410.08968)
SpeechT5
The SpeechT5 framework consists of a shared seq2seq and six modal-specific (speech/text) pre/post-nets that can address a few audio-related tasks.
TAPEX
TAPEX is the state-of-the-art table pre-training models which can be used for table-based question answering and table-based fact verification.
Table Transformer
The Table Transformer (TATR) is a series of object detection models useful for table extraction from PDF images.
GIT
GIT (Generative Image-to-text Transformer) is a model useful for vision-language tasks such as image/video captioning and question answering.