AI Research Papers Daily

Linear Transformers with Learnable Kernel Functions are Better In-Context Models

In Search of Needles in a 10M Haystack: Recurrent Memory Finds What LLMs Miss

SPAR: Personalized Content-Based Recommendation via Long Engagement Attention

DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models

Large Language Models as Zero-shot Dialogue State Tracker through Function Calling

Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation

PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter

GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting

Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

RLVF: Learning from Verbal Feedback without Overgeneralization