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upvoted 51 papers 2 months ago

YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals

Paper • 2406.16273 • Published Jun 24 • 40

AgileCoder: Dynamic Collaborative Agents for Software Development based on Agile Methodology

Paper • 2406.11912 • Published Jun 16 • 26

McEval: Massively Multilingual Code Evaluation

Paper • 2406.07436 • Published Jun 11 • 39

4Diffusion: Multi-view Video Diffusion Model for 4D Generation

Paper • 2405.20674 • Published May 31 • 11

Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Paper • 2405.20541 • Published May 30 • 20

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Paper • 2405.21075 • Published May 31 • 18

Show, Don't Tell: Aligning Language Models with Demonstrated Feedback

Paper • 2406.00888 • Published Jun 2 • 30

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Paper • 2406.01574 • Published Jun 3 • 42

V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation

Paper • 2406.02511 • Published Jun 4 • 8

I4VGen: Image as Stepping Stone for Text-to-Video Generation

Paper • 2406.02230 • Published Jun 4 • 15

Seed-TTS: A Family of High-Quality Versatile Speech Generation Models

Paper • 2406.02430 • Published Jun 4 • 28

To Believe or Not to Believe Your LLM

Paper • 2406.02543 • Published Jun 4 • 31

Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion

Paper • 2406.03184 • Published Jun 5 • 18

Audio Mamba: Bidirectional State Space Model for Audio Representation Learning

Paper • 2406.03344 • Published Jun 5 • 16

Parrot: Multilingual Visual Instruction Tuning

Paper • 2406.02539 • Published Jun 4 • 35

Block Transformer: Global-to-Local Language Modeling for Fast Inference

Paper • 2406.02657 • Published Jun 4 • 36

VideoTetris: Towards Compositional Text-to-Video Generation

Paper • 2406.04277 • Published Jun 6 • 22

SF-V: Single Forward Video Generation Model

Paper • 2406.04324 • Published Jun 6 • 23

ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

Paper • 2406.04325 • Published Jun 6 • 71

Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?

Paper • 2406.04391 • Published Jun 6 • 6

Mixture-of-Agents Enhances Large Language Model Capabilities

Paper • 2406.04692 • Published Jun 7 • 54

CRAG -- Comprehensive RAG Benchmark

Paper • 2406.04744 • Published Jun 7 • 40

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Paper • 2406.06525 • Published Jun 10 • 64

Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis

Paper • 2406.06216 • Published Jun 10 • 17

Towards a Personal Health Large Language Model

Paper • 2406.06474 • Published Jun 10 • 17

An Image is Worth 32 Tokens for Reconstruction and Generation

Paper • 2406.07550 • Published Jun 11 • 55

Zero-shot Image Editing with Reference Imitation

Paper • 2406.07547 • Published Jun 11 • 30

Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Paper • 2406.07394 • Published Jun 11 • 17

Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Paper • 2406.04338 • Published Jun 6 • 34

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Paper • 2406.07476 • Published Jun 11 • 32

PowerInfer-2: Fast Large Language Model Inference on a Smartphone

Paper • 2406.06282 • Published Jun 10 • 36

Are We Done with MMLU?

Paper • 2406.04127 • Published Jun 6 • 37

Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Paper • 2406.07546 • Published Jun 11 • 8

Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models

Paper • 2406.09416 • Published Jun 13 • 28

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Paper • 2406.07522 • Published Jun 11 • 35

Transformers meet Neural Algorithmic Reasoners

Paper • 2406.09308 • Published Jun 13 • 43

Depth Anything V2

Paper • 2406.09414 • Published Jun 13 • 90

An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

Paper • 2406.09415 • Published Jun 13 • 50

GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices

Paper • 2406.08451 • Published Jun 12 • 23

BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

Paper • 2406.10149 • Published Jun 14 • 48

Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Paper • 2406.10210 • Published Jun 14 • 75

XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning

Paper • 2406.08973 • Published Jun 13 • 85

How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17 • 29

mDPO: Conditional Preference Optimization for Multimodal Large Language Models

Paper • 2406.11839 • Published Jun 17 • 36

DataComp-LM: In search of the next generation of training sets for language models

Paper • 2406.11794 • Published Jun 17 • 48

MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs

Paper • 2406.11833 • Published Jun 17 • 61

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Paper • 2406.12824 • Published Jun 18 • 20

VoCo-LLaMA: Towards Vision Compression with Large Language Models

Paper • 2406.12275 • Published Jun 18 • 29

Bootstrapping Language Models with DPO Implicit Rewards

Paper • 2406.09760 • Published Jun 14 • 37

Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation

Paper • 2406.12849 • Published Jun 18 • 48

Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models

Paper • 2406.11230 • Published Jun 17 • 34