Darrin Mccann

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upvoted 7 papers 3 months ago

SHIC: Shape-Image Correspondences with no Keypoint Supervision

Paper • 2407.18907 • Published Jul 26 • 39

SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain

Paper • 2407.19584 • Published Jul 28 • 61

SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages

Paper • 2407.19672 • Published Jul 29 • 54

JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources

Paper • 2407.20750 • Published Jul 30 • 21

Futga: Towards Fine-grained Music Understanding through Temporally-enhanced Generative Augmentation

Paper • 2407.20445 • Published Jul 29 • 20

Knesset-DictaBERT: A Hebrew Language Model for Parliamentary Proceedings

Paper • 2407.20581 • Published Jul 30 • 23

Meltemi: The first open Large Language Model for Greek

Paper • 2407.20743 • Published Jul 30 • 67

upvoted 13 papers 4 months ago

Diffusion Feedback Helps CLIP See Better

Paper • 2407.20171 • Published Jul 29 • 34

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains

Paper • 2407.18961 • Published Jul 18 • 38

FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention

Paper • 2407.19918 • Published Jul 29 • 47

Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Paper • 2407.20179 • Published Jul 29 • 45

Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling

Paper • 2402.10211 • Published Feb 15 • 10

Rolling Diffusion Models

Paper • 2402.09470 • Published Feb 12 • 9

Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation

Paper • 2402.10210 • Published Feb 15 • 29

Data Engineering for Scaling Language Models to 128K Context

Paper • 2402.10171 • Published Feb 15 • 21

Integrating Large Language Models into a Tri-Modal Architecture for Automated Depression Classification

Paper • 2407.19340 • Published Jul 27 • 56

How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15 • 38

DreamTuner: Single Image is Enough for Subject-Driven Generation

Paper • 2312.13691 • Published Dec 21, 2023 • 26

DREAM-Talk: Diffusion-based Realistic Emotional Audio-driven Method for Single Image Talking Face Generation

Paper • 2312.13578 • Published Dec 21, 2023 • 27

Time is Encoded in the Weights of Finetuned Language Models

Paper • 2312.13401 • Published Dec 20, 2023 • 19