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Collections including paper arxiv:2406.00888

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

Paper • 2402.04252 • Published Feb 6, 2024 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 40
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 20

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 146
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 12
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 53
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 45

Moral Foundations of Large Language Models

Paper • 2310.15337 • Published Oct 23, 2023 • 1
Specific versus General Principles for Constitutional AI

Paper • 2310.13798 • Published Oct 20, 2023 • 2
Contrastive Prefence Learning: Learning from Human Feedback without RL

Paper • 2310.13639 • Published Oct 20, 2023 • 24
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 47

alignment_24_best

KTO: Model Alignment as Prospect Theoretic Optimization

Paper • 2402.01306 • Published Feb 2, 2024 • 16
Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 50
SimPO: Simple Preference Optimization with a Reference-Free Reward

Paper • 2405.14734 • Published May 23, 2024 • 11
Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment

Paper • 2408.06266 • Published Aug 12, 2024 • 10

DS' Daily paper

Instruction Pre-Training: Language Models are Supervised Multitask Learners

Paper • 2406.14491 • Published Jun 20, 2024 • 87
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Paper • 2405.21060 • Published May 31, 2024 • 64
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Paper • 2405.20541 • Published May 30, 2024 • 22
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Paper • 2406.01574 • Published Jun 3, 2024 • 44

Awesome LLM papers

Awesome collection of LLM papers for 2024

Show, Don't Tell: Aligning Language Models with Demonstrated Feedback

Paper • 2406.00888 • Published Jun 2, 2024 • 31

Understanding the performance gap between online and offline alignment algorithms

Paper • 2405.08448 • Published May 14, 2024 • 14
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment

Paper • 2405.19332 • Published May 29, 2024 • 15
Offline Regularised Reinforcement Learning for Large Language Models Alignment

Paper • 2405.19107 • Published May 29, 2024 • 14
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback

Paper • 2406.00888 • Published Jun 2, 2024 • 31

Many-Shot In-Context Learning in Multimodal Foundation Models

Paper • 2405.09798 • Published May 16, 2024 • 27
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

Paper • 2309.04269 • Published Sep 8, 2023 • 32
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback

Paper • 2406.00888 • Published Jun 2, 2024 • 31
To Believe or Not to Believe Your LLM

Paper • 2406.02543 • Published Jun 4, 2024 • 32

Foundation AI Papers (II)

Iterative Reasoning Preference Optimization

Paper • 2404.19733 • Published Apr 30, 2024 • 47
Better & Faster Large Language Models via Multi-token Prediction

Paper • 2404.19737 • Published Apr 30, 2024 • 73
ORPO: Monolithic Preference Optimization without Reference Model

Paper • 2403.07691 • Published Mar 12, 2024 • 64
KAN: Kolmogorov-Arnold Networks

Paper • 2404.19756 • Published Apr 30, 2024 • 108

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Paper • 2402.14658 • Published Feb 22, 2024 • 82
KAN: Kolmogorov-Arnold Networks

Paper • 2404.19756 • Published Apr 30, 2024 • 108
Understanding the performance gap between online and offline alignment algorithms

Paper • 2405.08448 • Published May 14, 2024 • 14
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Paper • 2405.17428 • Published May 27, 2024 • 17

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