Woodpecker: Hallucination Correction for Multimodal Large Language Models
Paper
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2310.16045
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Published
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17
Multimodal
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HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
Paper • 2310.14566 • Published • 27 -
SILC: Improving Vision Language Pretraining with Self-Distillation
Paper • 2310.13355 • Published • 9 -
Conditional Diffusion Distillation
Paper • 2310.01407 • Published • 20 -
Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing
Paper • 2310.12404 • Published • 15 -
MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models
Paper • 2310.11954 • Published • 25 -
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model
Paper • 2309.16058 • Published • 56 -
Jointly Training Large Autoregressive Multimodal Models
Paper • 2309.15564 • Published • 8 -
Empowering Vision-Language Models to Follow Interleaved Vision-Language Instructions
Paper • 2308.04152 • Published • 2 -
Multimodal Foundation Models: From Specialists to General-Purpose Assistants
Paper • 2309.10020 • Published • 41 -
Language as the Medium: Multimodal Video Classification through text only
Paper • 2309.10783 • Published • 1 -
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants
Paper • 2310.00653 • Published • 3 -
Kosmos-2.5: A Multimodal Literate Model
Paper • 2309.11419 • Published • 50 -
You Only Look at Screens: Multimodal Chain-of-Action Agents
Paper • 2309.11436 • Published • 1 -
UniAudio: An Audio Foundation Model Toward Universal Audio Generation
Paper • 2310.00704 • Published • 21 -
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
Paper • 2310.03734 • Published • 15 -
Aligning Text-to-Image Diffusion Models with Reward Backpropagation
Paper • 2310.03739 • Published • 22 -
Improved Baselines with Visual Instruction Tuning
Paper • 2310.03744 • Published • 37 -
Idea2Img: Iterative Self-Refinement with GPT-4V(ision) for Automatic Image Design and Generation
Paper • 2310.08541 • Published • 18 -
Visual Storytelling with Question-Answer Plans
Paper • 2310.05295 • Published • 1 -
Aligning Large Multimodal Models with Factually Augmented RLHF
Paper • 2309.14525 • Published • 31 -
Toward Joint Language Modeling for Speech Units and Text
Paper • 2310.08715 • Published • 10 -
MIMIC-IT: Multi-Modal In-Context Instruction Tuning
Paper • 2306.05425 • Published • 11 -
NExT-GPT: Any-to-Any Multimodal LLM
Paper • 2309.05519 • Published • 78 -
Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
Paper • 2310.05737 • Published • 4 -
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages
Paper • 2305.04160 • Published • 2 -
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Paper • 2310.09478 • Published • 21 -
Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models
Paper • 2308.13437 • Published • 4 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper • 2308.12966 • Published • 8 -
Ziya-VL: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning
Paper • 2310.08166 • Published • 1 -
From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models
Paper • 2310.08825 • Published • 1 -
Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs
Paper • 2310.00582 • Published • 1 -
Large-Scale Automatic Audiobook Creation
Paper • 2309.03926 • Published • 54 -
Kosmos-G: Generating Images in Context with Multimodal Large Language Models
Paper • 2310.02992 • Published • 4 -
Evaluation and Mitigation of Agnosia in Multimodal Large Language Models
Paper • 2309.04041 • Published • 1 -
Multimodal Graph Learning for Generative Tasks
Paper • 2310.07478 • Published • 1 -
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 19 -
TextBind: Multi-turn Interleaved Multimodal Instruction-following
Paper • 2309.08637 • Published • 8 -
ImageBind-LLM: Multi-modality Instruction Tuning
Paper • 2309.03905 • Published • 17 -
Never-ending Learning of User Interfaces
Paper • 2308.08726 • Published • 2 -
LMDX: Language Model-based Document Information Extraction and Localization
Paper • 2309.10952 • Published • 66 -
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
Paper • 2310.15308 • Published • 23 -
TiC-CLIP: Continual Training of CLIP Models
Paper • 2310.16226 • Published • 9 -
ConvNets Match Vision Transformers at Scale
Paper • 2310.16764 • Published • 21 -
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images
Paper • 2310.16825 • Published • 36 -
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
Paper • 2310.16656 • Published • 46 -
From Sparse to Soft Mixtures of Experts
Paper • 2308.00951 • Published • 20 -
Experts Weights Averaging: A New General Training Scheme for Vision Transformers
Paper • 2308.06093 • Published • 2 -
Self-slimmed Vision Transformer
Paper • 2111.12624 • Published • 1 -
Robustifying Token Attention for Vision Transformers
Paper • 2303.11126 • Published • 1 -
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
Paper • 2306.04073 • Published • 2 -
Retrieval-Augmented Multimodal Language Modeling
Paper • 2211.12561 • Published • 1 -
Long-range Language Modeling with Self-retrieval
Paper • 2306.13421 • Published • 16 -
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning
Paper • 2303.08566 • Published • 1 -
SAMU-XLSR: Semantically-Aligned Multimodal Utterance-level Cross-Lingual Speech Representation
Paper • 2205.08180 • Published • 1 -
PVP: Pre-trained Visual Parameter-Efficient Tuning
Paper • 2304.13639 • Published • 1 -
Do We Really Need a Large Number of Visual Prompts?
Paper • 2305.17223 • Published • 1 -
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception
Paper • 2305.06324 • Published • 1 -
Zorro: the masked multimodal transformer
Paper • 2301.09595 • Published • 2 -
Attention Bottlenecks for Multimodal Fusion
Paper • 2107.00135 • Published • 1 -
Contrastive Audio-Visual Masked Autoencoder
Paper • 2210.07839 • Published • 1 -
On Robustness in Multimodal Learning
Paper • 2304.04385 • Published • 1 -
Meta-Transformer: A Unified Framework for Multimodal Learning
Paper • 2307.10802 • Published • 44 -
Using Multiple Instance Learning to Build Multimodal Representations
Paper • 2212.05561 • Published • 1 -
LMEye: An Interactive Perception Network for Large Language Models
Paper • 2305.03701 • Published • 2 -
Concept-Oriented Deep Learning with Large Language Models
Paper • 2306.17089 • Published • 1 -
AGIBench: A Multi-granularity, Multimodal, Human-referenced, Auto-scoring Benchmark for Large Language Models
Paper • 2309.06495 • Published • 1 -
Multimodal Multi-Hop Question Answering Through a Conversation Between Tools and Efficiently Finetuned Large Language Models
Paper • 2309.08922 • Published • 1 -
T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering
Paper • 2305.03453 • Published • 1 -
ViperGPT: Visual Inference via Python Execution for Reasoning
Paper • 2303.08128 • Published • 2 -
Visual Programming: Compositional visual reasoning without training
Paper • 2211.11559 • Published • 1 -
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems
Paper • 2210.15037 • Published • 1 -
Diversifying Joint Vision-Language Tokenization Learning
Paper • 2306.03421 • Published • 2 -
Joint Adaptive Representations for Image-Language Learning
Paper • 2305.19924 • Published • 1 -
Modular Visual Question Answering via Code Generation
Paper • 2306.05392 • Published • 2 -
TouchStone: Evaluating Vision-Language Models by Language Models
Paper • 2308.16890 • Published • 1 -
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
Paper • 2309.07915 • Published • 4 -
VIGC: Visual Instruction Generation and Correction
Paper • 2308.12714 • Published • 1 -
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Paper • 2310.04378 • Published • 21 -
MetaFormer Is Actually What You Need for Vision
Paper • 2111.11418 • Published • 1 -
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
Paper • 2310.11441 • Published • 28 -
An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Concept Prompt Learning
Paper • 2310.12274 • Published • 13 -
Matryoshka Diffusion Models
Paper • 2310.15111 • Published • 42 -
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
Paper • 2310.11440 • Published • 17 -
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers
Paper • 2303.13755 • Published • 1 -
DSG: An End-to-End Document Structure Generator
Paper • 2310.09118 • Published • 2 -
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
Paper • 2310.19909 • Published • 21 -
Beyond U: Making Diffusion Models Faster & Lighter
Paper • 2310.20092 • Published • 12 -
i-Code Studio: A Configurable and Composable Framework for Integrative AI
Paper • 2305.13738 • Published • 1 -
AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn
Paper • 2306.08640 • Published • 26 -
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models
Paper • 2309.10707 • Published • 2 -
M^3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning
Paper • 2306.04387 • Published • 8 -
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models
Paper • 2308.00675 • Published • 36 -
Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task
Paper • 2307.03972 • Published • 1 -
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding
Paper • 2306.17107 • Published • 11 -
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
Paper • 2305.18752 • Published • 4 -
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
Paper • 2305.14839 • Published • 1 -
Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling
Paper • 2311.00430 • Published • 58 -
Reproducing Whisper-Style Training Using an Open-Source Toolkit and Publicly Available Data
Paper • 2309.13876 • Published • 1 -
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
Paper • 2309.15701 • Published • 2 -
Massive End-to-end Models for Short Search Queries
Paper • 2309.12963 • Published • 1 -
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition
Paper • 2310.06434 • Published • 4 -
MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription
Paper • 2108.02625 • Published • 1 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 43 -
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models
Paper • 2309.01947 • Published • 1 -
Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization
Paper • 2211.02077 • Published • 1 -
MUTEX: Learning Unified Policies from Multimodal Task Specifications
Paper • 2309.14320 • Published • 1 -
Linking Representations with Multimodal Contrastive Learning
Paper • 2304.03464 • Published • 1 -
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers
Paper • 2211.11315 • Published • 1 -
Attention or Convolution: Transformer Encoders in Audio Language Models for Inference Efficiency
Paper • 2311.02772 • Published • 7 -
FLAP: Fast Language-Audio Pre-training
Paper • 2311.01615 • Published • 18 -
Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning
Paper • 2304.06461 • Published • 1 -
UNFUSED: UNsupervised Finetuning Using SElf supervised Distillation
Paper • 2303.05668 • Published • 1 -
One-Step Knowledge Distillation and Fine-Tuning in Using Large Pre-Trained Self-Supervised Learning Models for Speaker Verification
Paper • 2305.17394 • Published • 1 -
PADA: Pruning Assisted Domain Adaptation for Self-Supervised Speech Representations
Paper • 2203.16965 • Published • 1 -
Task-Agnostic Structured Pruning of Speech Representation Models
Paper • 2306.01385 • Published • 1 -
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation
Paper • 2305.11685 • Published • 2 -
Beyond Universal Transformer: block reusing with adaptor in Transformer for automatic speech recognition
Paper • 2303.13072 • Published • 1 -
MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval
Paper • 2309.01516 • Published • 1 -
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning
Paper • 2212.03220 • Published • 1 -
Residual Mixture of Experts
Paper • 2204.09636 • Published • 1 -
End-to-end Knowledge Retrieval with Multi-modal Queries
Paper • 2306.00424 • Published • 1 -
A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering
Paper • 2304.13649 • Published • 1 -
TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models
Paper • 2311.04589 • Published • 23 -
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
Paper • 2211.13218 • Published • 1 -
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
Paper • 2308.10445 • Published • 1 -
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Paper • 2309.07117 • Published • 2 -
A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning
Paper • 2210.04428 • Published • 1 -
A soft nearest-neighbor framework for continual semi-supervised learning
Paper • 2212.05102 • Published • 1 -
Avalanche: an End-to-End Library for Continual Learning
Paper • 2104.00405 • Published • 1 -
SequeL: A Continual Learning Library in PyTorch and JAX
Paper • 2304.10857 • Published • 1 -
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
Paper • 2306.06446 • Published • 1 -
An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training
Paper • 2306.17165 • Published • 1 -
SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts
Paper • 2105.03036 • Published • 2 -
Language-Routing Mixture of Experts for Multilingual and Code-Switching Speech Recognition
Paper • 2307.05956 • Published • 1 -
Cross-token Modeling with Conditional Computation
Paper • 2109.02008 • Published • 1 -
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models
Paper • 2311.05997 • Published • 37 -
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
Paper • 2311.06243 • Published • 22 -
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores
Paper • 2311.05908 • Published • 16 -
Continual Learning for Monolingual End-to-End Automatic Speech Recognition
Paper • 2112.09427 • Published • 1 -
Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model
Paper • 2208.08340 • Published • 1 -
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification
Paper • 2309.09276 • Published • 1 -
Approximated Prompt Tuning for Vision-Language Pre-trained Models
Paper • 2306.15706 • Published • 1 -
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks
Paper • 2311.07463 • Published • 15 -
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
Paper • 2311.05556 • Published • 87 -
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach
Paper • 2310.12004 • Published • 2 -
From Words to Music: A Study of Subword Tokenization Techniques in Symbolic Music Generation
Paper • 2304.08953 • Published • 2 -
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition
Paper • 2209.15176 • Published • 1 -
Decoder-only Architecture for Speech Recognition with CTC Prompts and Text Data Augmentation
Paper • 2309.08876 • Published • 1 -
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
Paper • 2312.04410 • Published • 15 -
Phonetic-assisted Multi-Target Units Modeling for Improving Conformer-Transducer ASR system
Paper • 2211.01571 • Published • 1 -
E-Branchformer: Branchformer with Enhanced merging for speech recognition
Paper • 2210.00077 • Published • 2 -
Interpret Vision Transformers as ConvNets with Dynamic Convolutions
Paper • 2309.10713 • Published • 1 -
EfficientFormer: Vision Transformers at MobileNet Speed
Paper • 2206.01191 • Published • 1 -
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models
Paper • 2305.17235 • Published • 2 -
Semi-Autoregressive Streaming ASR With Label Context
Paper • 2309.10926 • Published • 1 -
eP-ALM: Efficient Perceptual Augmentation of Language Models
Paper • 2303.11403 • Published • 3 -
OneLLM: One Framework to Align All Modalities with Language
Paper • 2312.03700 • Published • 24 -
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Paper • 2312.17172 • Published • 29 -
Augmenting text for spoken language understanding with Large Language Models
Paper • 2309.09390 • Published • 3 -
Audiobox: Unified Audio Generation with Natural Language Prompts
Paper • 2312.15821 • Published • 17 -
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation
Paper • 2312.14385 • Published • 7 -
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training
Paper • 2401.00849 • Published • 17 -
Mug-STAN: Adapting Image-Language Pretrained Models for General Video Understanding
Paper • 2311.15075 • Published • 1 -
MLLMs-Augmented Visual-Language Representation Learning
Paper • 2311.18765 • Published • 1 -
InfMLLM: A Unified Framework for Visual-Language Tasks
Paper • 2311.06791 • Published • 3 -
Generative Multimodal Models are In-Context Learners
Paper • 2312.13286 • Published • 37 -
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning
Paper • 2311.18799 • Published • 1 -
Training Transformers Together
Paper • 2207.03481 • Published • 5 -
SwitchGPT: Adapting Large Language Models for Non-Text Outputs
Paper • 2309.07623 • Published • 1 -
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 189 -
Diffusion Model Alignment Using Direct Preference Optimization
Paper • 2311.12908 • Published • 50 -
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis
Paper • 2312.03491 • Published • 35 -
Efficient Monotonic Multihead Attention
Paper • 2312.04515 • Published • 8 -
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Paper • 2311.07919 • Published • 10 -
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models
Paper • 2311.07575 • Published • 15 -
Towards General-Purpose Speech Abilities for Large Language Models Using Unpaired Data
Paper • 2311.06753 • Published • 8 -
LayoutPrompter: Awaken the Design Ability of Large Language Models
Paper • 2311.06495 • Published • 12 -
Honeybee: Locality-enhanced Projector for Multimodal LLM
Paper • 2312.06742 • Published • 14 -
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels
Paper • 2309.08513 • Published • 1 -
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models
Paper • 2305.05189 • Published • 2 -
TextDiffuser: Diffusion Models as Text Painters
Paper • 2305.10855 • Published • 3 -
Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing
Paper • 2304.02051 • Published • 4 -
DITTO: Diffusion Inference-Time T-Optimization for Music Generation
Paper • 2401.12179 • Published • 22 -
StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion
Paper • 2401.11053 • Published • 11 -
FreGrad: Lightweight and Fast Frequency-aware Diffusion Vocoder
Paper • 2401.10032 • Published • 13 -
BAE-Net: A Low complexity and high fidelity Bandwidth-Adaptive neural network for speech super-resolution
Paper • 2312.13722 • Published • 1 -
Incremental FastPitch: Chunk-based High Quality Text to Speech
Paper • 2401.01755 • Published • 10 -
CoMoSVC: Consistency Model-based Singing Voice Conversion
Paper • 2401.01792 • Published • 11 -
Towards High-Quality and Efficient Speech Bandwidth Extension with Parallel Amplitude and Phase Prediction
Paper • 2401.06387 • Published • 1 -
Multi-Scale Sub-Band Constant-Q Transform Discriminator for High-Fidelity Vocoder
Paper • 2311.14957 • Published • 2 -
VMamba: Visual State Space Model
Paper • 2401.10166 • Published • 40 -
Factorization Vision Transformer: Modeling Long Range Dependency with Local Window Cost
Paper • 2312.08614 • Published • 1 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 49 -
ModaVerse: Efficiently Transforming Modalities with LLMs
Paper • 2401.06395 • Published • 3 -
Video Understanding with Large Language Models: A Survey
Paper • 2312.17432 • Published • 3 -
Boosting Large Language Model for Speech Synthesis: An Empirical Study
Paper • 2401.00246 • Published • 14 -
Towards Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs
Paper • 2311.15759 • Published • 1 -
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models
Paper • 2401.13311 • Published • 12 -
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
Paper • 2309.01479 • Published • 1 -
Parameter-Efficient Conformers via Sharing Sparsely-Gated Experts for End-to-End Speech Recognition
Paper • 2209.08326 • Published • 1 -
Mixture-of-experts VAEs can disregard variation in surjective multimodal data
Paper • 2204.05229 • Published • 1 -
One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code
Paper • 2205.06126 • Published • 1 -
simple diffusion: End-to-end diffusion for high resolution images
Paper • 2301.11093 • Published • 2 -
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Paper • 2401.09417 • Published • 62 -
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
Paper • 2401.13560 • Published • 1 -
Vivim: a Video Vision Mamba for Medical Video Object Segmentation
Paper • 2401.14168 • Published • 2 -
2-D SSM: A General Spatial Layer for Visual Transformers
Paper • 2306.06635 • Published • 1 -
IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers
Paper • 2304.14400 • Published • 4 -
Amphion: An Open-Source Audio, Music and Speech Generation Toolkit
Paper • 2312.09911 • Published • 55 -
StarVector: Generating Scalable Vector Graphics Code from Images
Paper • 2312.11556 • Published • 36 -
OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer
Paper • 2401.16658 • Published • 14 -
OtterHD: A High-Resolution Multi-modality Model
Paper • 2311.04219 • Published • 34 -
GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEs
Paper • 2311.04901 • Published • 11 -
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
Paper • 2311.04257 • Published • 22 -
u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model
Paper • 2311.05348 • Published • 15 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 51 -
Link-Context Learning for Multimodal LLMs
Paper • 2308.07891 • Published • 16 -
Empowering LLM to use Smartphone for Intelligent Task Automation
Paper • 2308.15272 • Published • 1 -
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts
Paper • 2206.02770 • Published • 3 -
Deep Lifelong Cross-modal Hashing
Paper • 2304.13357 • Published • 1 -
Multi-Dimensional Hyena for Spatial Inductive Bias
Paper • 2309.13600 • Published • 1 -
FLatten Transformer: Vision Transformer using Focused Linear Attention
Paper • 2308.00442 • Published • 1 -
PALO: A Polyglot Large Multimodal Model for 5B People
Paper • 2402.14818 • Published • 25 -
SpeechAgents: Human-Communication Simulation with Multi-Modal Multi-Agent Systems
Paper • 2401.03945 • Published -
TinyLLaVA: A Framework of Small-scale Large Multimodal Models
Paper • 2402.14289 • Published • 21 -
MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks
Paper • 2309.14118 • Published -
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
Paper • 2402.19481 • Published • 23 -
A Touch, Vision, and Language Dataset for Multimodal Alignment
Paper • 2402.13232 • Published • 15 -
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models
Paper • 2402.13577 • Published • 10 -
Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters
Paper • 2403.02677 • Published • 18 -
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models
Paper • 2403.00231 • Published • 1 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 77 -
Diffusion Models Without Attention
Paper • 2311.18257 • Published • 3 -
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models
Paper • 2403.13447 • Published • 19 -
MambaIR: A Simple Baseline for Image Restoration with State-Space Model
Paper • 2402.15648 • Published -
FiT: Flexible Vision Transformer for Diffusion Model
Paper • 2402.12376 • Published • 49 -
SSM Meets Video Diffusion Models: Efficient Video Generation with Structured State Spaces
Paper • 2403.07711 • Published -
Scalable Diffusion Models with State Space Backbone
Paper • 2402.05608 • Published -
LocalMamba: Visual State Space Model with Windowed Selective Scan
Paper • 2403.09338 • Published • 9 -
VideoMamba: State Space Model for Efficient Video Understanding
Paper • 2403.06977 • Published • 31 -
An Embarrassingly Simple Approach for LLM with Strong ASR Capacity
Paper • 2402.08846 • Published • 1 -
Transparent Image Layer Diffusion using Latent Transparency
Paper • 2402.17113 • Published • 5 -
On Speculative Decoding for Multimodal Large Language Models
Paper • 2404.08856 • Published • 13 -
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models
Paper • 2405.14828 • Published -
Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
Paper • 2311.08046 • Published • 2 -
UniRAG: Universal Retrieval Augmentation for Multi-Modal Large Language Models
Paper • 2405.10311 • Published -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 35 -
Speak While You Think: Streaming Speech Synthesis During Text Generation
Paper • 2309.11210 • Published -
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
Paper • 2406.11271 • Published • 21 -
GrootVL: Tree Topology is All You Need in State Space Model
Paper • 2406.02395 • Published • 1 -
ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows
Paper • 2505.19897 • Published • 102