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Collections including paper arxiv:2403.19270

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 • 38
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28 • 39

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19 • 24
PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15 • 57
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations

Paper • 2403.09704 • Published Mar 8 • 31
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15 • 67

Alignment-DPO-line

sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28 • 39
Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2 • 44
Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15 • 82
mDPO: Conditional Preference Optimization for Multimodal Large Language Models

Paper • 2406.11839 • Published Jun 17 • 37

Jamba: A Hybrid Transformer-Mamba Language Model

Paper • 2403.19887 • Published Mar 28 • 104
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28 • 39
ViTAR: Vision Transformer with Any Resolution

Paper • 2403.18361 • Published Mar 27 • 52
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Paper • 2403.18814 • Published Mar 27 • 44

On the Societal Impact of Open Foundation Models

Paper • 2403.07918 • Published Feb 27 • 16
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28 • 39
Hallucinations or Attention Misdirection? The Path to Strategic Value Extraction in Business Using Large Language Models

Paper • 2402.14002 • Published Feb 21
Evaluating the Social Impact of Generative AI Systems in Systems and Society

Paper • 2306.05949 • Published Jun 9, 2023 • 8

Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 77
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28 • 39

Papers - Model - SFT - Alpaca and DPO - Solar

sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28 • 39

Papers - Fine-tuning - SFT

InternLM2 Technical Report

Paper • 2403.17297 • Published Mar 26 • 29
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28 • 39
Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15 • 82
OpenBezoar: Small, Cost-Effective and Open Models Trained on Mixes of Instruction Data

Paper • 2404.12195 • Published Apr 18 • 11

Papers - Fine-tuning - DPO

Refer to additional papers: https://link.springer.com/article/10.1007/s10994-014-5458-8 and https://link.springer.com/article/10.1007/BF00992696

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 48
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization

Paper • 2402.09320 • Published Feb 14 • 6
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28 • 39
Dueling RL: Reinforcement Learning with Trajectory Preferences

Paper • 2111.04850 • Published Nov 8, 2021 • 2

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