SOTAVerified

All

Papers

Showing 2650 of 2646 papers

TitleStatusHype
The Era of 1-bit LLMs: All Large Language Models are in 1.58 BitsCode4
All You May Need for VQA are Image CaptionsCode3
FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every LanguageCode3
Emu3: Next-Token Prediction is All You NeedCode3
Patches Are All You Need?Code3
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment LocomotionCode3
NdLinear Is All You Need for Representation LearningCode3
One Transformer Fits All Distributions in Multi-Modal Diffusion at ScaleCode3
RAP-SAM: Towards Real-Time All-Purpose Segment AnythingCode3
Class Symbolic Regression: Gotta Fit 'Em AllCode3
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster responseCode3
MoAI: Mixture of All Intelligence for Large Language and Vision ModelsCode3
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-AlignmentCode3
Local All-Pair Correspondence for Point TrackingCode3
All-atom Diffusion Transformers: Unified generative modelling of molecules and materialsCode3
All are Worth Words: A ViT Backbone for Diffusion ModelsCode3
MAD-ICP: It Is All About Matching Data -- Robust and Informed LiDAR OdometryCode3
GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing TasksCode3
How Far Are We From AGI: Are LLMs All We Need?Code3
AiOS: All-in-One-Stage Expressive Human Pose and Shape EstimationCode3
A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future TrendsCode3
GraphStorm: all-in-one graph machine learning framework for industry applicationsCode3
AM-RADIO: Agglomerative Vision Foundation Model -- Reduce All Domains Into OneCode3
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2Code3
General-Reasoner: Advancing LLM Reasoning Across All DomainsCode3
Show:102550
← PrevPage 2 of 106Next →

No leaderboard results yet.