Trending Research
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
epfllm/meditron
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Large language models (LLMs) can potentially democratize access to medical knowledge.
Ranked #1 on
Multiple Choice Question Answering (MCQA)
on MedMCQA
(Dev Set (Acc-%) metric)
Conditional Text Generation
Multiple Choice Question Answering (MCQA)
TaskWeaver: A Code-First Agent Framework
TaskWeaver provides support for rich data structures, flexible plugin usage, and dynamic plugin selection, and leverages LLM coding capabilities for complex logic.
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance
lllyasviel/fooocus
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ICCV 2023
Denoising diffusion models (DDMs) have attracted attention for their exceptional generation quality and diversity.
GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation
We justify that the refined 3D geometric priors aid in the 3D-aware capability of 2D diffusion priors, which in turn provides superior guidance for the refinement of 3D geometric priors.
On Bringing Robots Home
notmahi/dobb-e
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We use the Stick to collect 13 hours of data in 22 homes of New York City, and train Home Pretrained Representations (HPR).
SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
facebookresearch/seamless_communication
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What does it take to create the Babel Fish, a tool that can help individuals translate speech between any two languages?
Automatic Speech Recognition
Speech-to-Speech Translation
+3
LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
Recent advancements in real-time neural rendering using point-based techniques have paved the way for the widespread adoption of 3D representations.
Qwen Technical Report
QwenLM/Qwen-7B
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Large language models (LLMs) have revolutionized the field of artificial intelligence, enabling natural language processing tasks that were previously thought to be exclusive to humans.
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Recently, instruction-following audio-language models have received broad attention for audio interaction with humans.
YUAN 2.0: A Large Language Model with Localized Filtering-based Attention
In this work, the Localized Filtering-based Attention (LFA) is introduced to incorporate prior knowledge of local dependencies of natural language into Attention.
