multifc, evaluation
Multilingual fact-checking.
751 technical terms and definitions
Multilingual fact-checking.
Multilingual legal text.
Align representations across languages.
Generate with mixed languages.
Multilingual embeddings encode multiple languages in shared semantic space.
Multilingual models handle multiple languages through diverse training data.
Single model for many language pairs.
Pre-train on many languages together.
Compress multimodal information.
Reasoning across modalities.
Combine information from modalities.
Multimodal prompting combines text images or other modalities in input.
Combine text audio and visual cues.
Multimodal transformers process audio and visual sequences with cross-modal attention mechanisms.
Translate between modalities.
Multimodal models handle text + images (and sometimes more). They can caption images, answer visual questions, and reason about diagrams or UI.
Multi-genre NLI.
Diffusion over categorical distributions.
Withstand repeated heating.
Multiple regression models response as function of multiple predictors.
Complex reasoning QA.
Multi-Sentence Reading Comprehension requires reasoning over multiple sentences.
Link atomic to continuum scales.
Multitask instruction learning trains on diverse tasks simultaneously improving generalization.
Analyze multiple variables together.
Multivariate analysis examines relationships among multiple parameters simultaneously.
Monitor multiple variables together.
Multivariate outlier detection identifies devices with unusual parameter combinations indicating reliability risks.
Multivariate temporal point processes model interdependent event sequences across multiple event types with cross-excitation.
Murphy yield model incorporates defect clustering through alpha parameter representing degree of spatial correlation.
Muse uses masked generative transformers for parallel image generation from text.
MuseFormer uses fine-coarse hierarchical attention for efficient generation of long music sequences.
MuseGAN generates multi-track polyphonic music using multiple generators for different instruments.
MuseNet is a transformer-based model that generates multi-instrument music compositions in various styles using MIDI representations.
Create original music compositions using AI models.
Create musical compositions.
Suggest music to users.
Convert music to different styles.
Convert audio to sheet music.
Music Transformer applies relative positional encoding to transformers enabling generation of long expressive musical sequences.
Music VAE learns hierarchical latent representations of music enabling interpolation and variation generation.
Audio generation models create music, sound effects from text. MusicGen, AudioCraft for creative applications.
MusicGen generates high-quality music from text descriptions using a single-stage transformer language model with efficient audio tokenization.
Text-to-music generation model.
Test quality by introducing mutations.
Multiple models learn from each other.
Mutually exciting point processes model how events of one type trigger events of other types.
MuZero learns a model of the environment's dynamics without requiring knowledge of the true rules by combining tree-based search with learned models.
Minimum Variance Distortionless Response beamforming maximizes SNR while preserving target signal.
Hierarchical ViT for video.