Trending Research
KAN: Kolmogorov-Arnold Networks
Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs).
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
xu1868/sayself
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Large language models (LLMs) often generate inaccurate or fabricated information and generally fail to indicate their confidence, which limits their broader applications.
SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
To this end, we explore the sparse representation and review the task design for end-to-end autonomous driving, proposing a new paradigm named SparseDrive.
Non-destructive Degradation Pattern Decoupling for Ultra-early Battery Prototype Verification Using Physics-informed Machine Learning
Manufacturing complexities and uncertainties have impeded the transition from material prototypes to commercial batteries, making prototype verification critical to quality assessment.
InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
Accuracy and speed are critical in image editing tasks.
SimPO: Simple Preference Optimization with a Reference-Free Reward
Our top-performing model, built on Llama3-8B-Instruct, achieves a remarkable 44. 7 length-controlled win rate on AlpacaEval 2 -- surpassing Claude 3 Opus on the leaderboard, and a 33. 8 win rate on Arena-Hard -- making it the strongest 8B open-source model.
Make Your LLM Fully Utilize the Context
While many contemporary large language models (LLMs) can process lengthy input, they still struggle to fully utilize information within the long context, known as the lost-in-the-middle challenge.
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Data-driven artificial intelligence (AI) models have made significant advancements in weather forecasting, particularly in medium-range and nowcasting.
SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models
The development of text-to-video (T2V), i. e., generating videos with a given text prompt, has been significantly advanced in recent years.
APISR: Anime Production Inspired Real-World Anime Super-Resolution
In addition, we identify two anime-specific challenges of distorted and faint hand-drawn lines and unwanted color artifacts.
