Preprint2023
InstructBLIP
Unknown
InstructBLIP introduces instruction-aware Query Transformer for vision-language instruction tuning, achieving state-of-the-art zero-shot generalization.
0May 1, 2023TransformersInstruction Tuning
arXiv
AI Research
AI & ML Research Papers
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
All Papers
7 papersPreprint2022
BLOOMZ, mT0
Unknown
Multitask prompted fine-tuning on English tasks enables zero-shot cross-lingual generalization in large multilingual models.
0Nov 1, 2022Prompting
arXiv
Preprint2026
Moving Alphabet: A Controlled Study of Training Data for Text-to-Video Generation
Amber Yijia Zheng, Lu Liu, Raymond A. Yeh, et al.
A controlled study using a procedural testbed reveals that data distribution balance and caption quality critically impact text-to-video model generalization and training efficiency.
0Jul 21, 2026Attention MechanismsFine Tuning
arXiv
Preprint2026
Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment
Dwip Dalal, Shivansh Patel, Chahit Jain, et al.
Anchor-Align augments behavior cloning with vision-language anchoring and language-action alignment to prevent representation drift and improve VLA policy generalization.
0Jul 15, 2026AlignmentBenchmarks
arXiv
PreprintCommunications of the ACM2021
Understanding deep learning (still) requires rethinking generalization
Chiyuan Zhang, Samy Bengio, Moritz Hardt, et al.
Large neural networks can fit random labels and noise, challenging traditional views on generalization.
2.8kFeb 22, 2021Neural Networks
Preprint2026
Scaling Laws for Hypernetwork-Based Knowledge Injection in Large Language Models
Nischay Dhankhar, Dos Baha, Abulhair Saparov
This paper establishes scaling laws for hypernetwork-based knowledge injection into LLMs, showing power-law scaling and superior OOD generalization.
0Jul 21, 2026Large Language ModelsFine Tuning
arXiv
PreprintJournal Of Big Data2021
Text Data Augmentation for Deep Learning
Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht
This survey reviews text data augmentation for deep learning, covering motifs, frameworks, generalization, and practical tools.
1.7kJul 19, 2021Computer Vision