Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation Paper • 2401.15688 • Published Jan 28 • 11
SliceGPT: Compress Large Language Models by Deleting Rows and Columns Paper • 2401.15024 • Published Jan 26 • 68
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities Paper • 2401.15071 • Published Jan 26 • 34
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI Paper • 2401.14019 • Published Jan 25 • 19
Do Large Language Models Latently Perform Multi-Hop Reasoning? Paper • 2402.16837 • Published Feb 26 • 24
Divide-or-Conquer? Which Part Should You Distill Your LLM? Paper • 2402.15000 • Published Feb 22 • 22
Linear Transformers with Learnable Kernel Functions are Better In-Context Models Paper • 2402.10644 • Published Feb 16 • 78
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows Paper • 2402.10379 • Published Feb 16 • 29
Self-Discover: Large Language Models Self-Compose Reasoning Structures Paper • 2402.03620 • Published Feb 6 • 109
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks Paper • 2402.04248 • Published Feb 6 • 29
Rethinking Optimization and Architecture for Tiny Language Models Paper • 2402.02791 • Published Feb 5 • 12
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models Paper • 2406.04271 • Published Jun 6 • 27
Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models Paper • 2406.06563 • Published Jun 3 • 17
Instruction Pre-Training: Language Models are Supervised Multitask Learners Paper • 2406.14491 • Published Jun 20 • 85
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning Paper • 2406.15334 • Published Jun 21 • 8
A Closer Look into Mixture-of-Experts in Large Language Models Paper • 2406.18219 • Published Jun 26 • 15
Characterizing Prompt Compression Methods for Long Context Inference Paper • 2407.08892 • Published Jul 11 • 9
Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning Paper • 2407.18248 • Published Jul 25 • 30
jina-embeddings-v3: Multilingual Embeddings With Task LoRA Paper • 2409.10173 • Published 26 days ago • 21