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Collections including paper arxiv:2410.14940

about 12 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 37
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

Baichuan Alignment Technical Report

Paper • 2410.14940 • Published 14 days ago • 46

LLM Technical Reports

The Llama 3 Herd of Models

Paper • 2407.21783 • Published Jul 31 • 105
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Paper • 2409.12191 • Published Sep 18 • 73
Baichuan Alignment Technical Report

Paper • 2410.14940 • Published 14 days ago • 46

PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment

Paper • 2410.13785 • Published 15 days ago • 18
Aligning Large Language Models via Self-Steering Optimization

Paper • 2410.17131 • Published 10 days ago • 18
Baichuan Alignment Technical Report

Paper • 2410.14940 • Published 14 days ago • 46
SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation

Paper • 2410.14745 • Published 15 days ago • 45

Aligning Teacher with Student Preferences for Tailored Training Data Generation

Paper • 2406.19227 • Published Jun 27 • 24
Pre-training Distillation for Large Language Models: A Design Space Exploration

Paper • 2410.16215 • Published 11 days ago • 15
Baichuan Alignment Technical Report

Paper • 2410.14940 • Published 14 days ago • 46
MiniPLM: Knowledge Distillation for Pre-Training Language Models

Paper • 2410.17215 • Published 10 days ago • 12

papers to reading

about 13 hours ago

FrugalNeRF: Fast Convergence for Few-shot Novel View Synthesis without Learned Priors

Paper • 2410.16271 • Published 11 days ago • 79
Baichuan Alignment Technical Report

Paper • 2410.14940 • Published 14 days ago • 46
SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

Paper • 2410.16268 • Published 11 days ago • 62
AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published 11 days ago • 50

Instruction Following without Instruction Tuning

Paper • 2409.14254 • Published Sep 21 • 27
Baichuan Alignment Technical Report

Paper • 2410.14940 • Published 14 days ago • 46
CompassJudger-1: All-in-one Judge Model Helps Model Evaluation and Evolution

Paper • 2410.16256 • Published 11 days ago • 56
Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

Paper • 2410.18558 • Published 8 days ago • 17

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models

Paper • 2306.04757 • Published Jun 7, 2023 • 6
Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Paper • 2308.01240 • Published Aug 2, 2023 • 2
Can Large Language Models Understand Real-World Complex Instructions?

Paper • 2309.09150 • Published Sep 17, 2023 • 2
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection

Paper • 2308.10819 • Published Aug 17, 2023

Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92
CogVLM2: Visual Language Models for Image and Video Understanding

Paper • 2408.16500 • Published Aug 29 • 56
Learning to Move Like Professional Counter-Strike Players

Paper • 2408.13934 • Published Aug 25 • 21
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22 • 115

Understanding the performance gap between online and offline alignment algorithms

Paper • 2405.08448 • Published May 14 • 14
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment

Paper • 2405.19332 • Published May 29 • 15
Offline Regularised Reinforcement Learning for Large Language Models Alignment

Paper • 2405.19107 • Published May 29 • 13
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback

Paper • 2406.00888 • Published Jun 2 • 30

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