AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? Paper • 2307.16368 • Published Jul 31, 2023 • 11
UniVTG: Towards Unified Video-Language Temporal Grounding Paper • 2307.16715 • Published Jul 31, 2023 • 10
Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data? Paper • 2407.16607 • Published Jul 23 • 22
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge Paper • 2407.19594 • Published Jul 28 • 20
ATHAR: A High-Quality and Diverse Dataset for Classical Arabic to English Translation Paper • 2407.19835 • Published Jul 29 • 21
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain Paper • 2407.19584 • Published Jul 28 • 62
A Large Encoder-Decoder Family of Foundation Models For Chemical Language Paper • 2407.20267 • Published Jul 24 • 31
Adapting Safe-for-Work Classifier for Malaysian Language Text: Enhancing Alignment in LLM-Ops Framework Paper • 2407.20729 • Published Jul 30 • 25
JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources Paper • 2407.20750 • Published Jul 30 • 21
PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations Paper • 2404.04421 • Published Apr 5 • 16
UniFL: Improve Stable Diffusion via Unified Feedback Learning Paper • 2404.05595 • Published Apr 8 • 23
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs Paper • 2404.05719 • Published Apr 8 • 82
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model Paper • 2404.04167 • Published Apr 5 • 12
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues Paper • 2404.03820 • Published Apr 4 • 24
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching Paper • 2404.03653 • Published Apr 4 • 33