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Discover the best community collections!

Collections including paper arxiv:2412.08905

Papers - Fine-tuning - SFT

InternLM2 Technical Report

Paper • 2403.17297 • Published Mar 26, 2024 • 32
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28, 2024 • 41
Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15, 2024 • 85
OpenBezoar: Small, Cost-Effective and Open Models Trained on Mixes of Instruction Data

Paper • 2404.12195 • Published Apr 18, 2024 • 12

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 • 55
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization

Paper • 2402.09320 • Published Feb 14, 2024 • 6
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28, 2024 • 41
Dueling RL: Reinforcement Learning with Trajectory Preferences

Paper • 2111.04850 • Published Nov 8, 2021 • 2

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14, 2024 • 127
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

Paper • 2306.16527 • Published Jun 21, 2023 • 47
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models

Paper • 2404.12387 • Published Apr 18, 2024 • 39
SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension

Paper • 2404.16790 • Published Apr 25, 2024 • 9

To read... eventually

A collection of papers that i have read or plan to read all in one place. Includes a wide range of topics.

about 12 hours ago

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14, 2024 • 127
Evolutionary Optimization of Model Merging Recipes

Paper • 2403.13187 • Published Mar 19, 2024 • 53
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model

Paper • 2402.03766 • Published Feb 6, 2024 • 14
LLM Agent Operating System

Paper • 2403.16971 • Published Mar 25, 2024 • 68

Papers - CoT - Chain of Thought

Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 39
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 106
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

Paper • 2403.14624 • Published Mar 21, 2024 • 52
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Paper • 2402.12875 • Published Feb 20, 2024 • 13

Papers - Training

SELF: Language-Driven Self-Evolution for Large Language Model

Paper • 2310.00533 • Published Oct 1, 2023 • 2
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length

Paper • 2310.00576 • Published Oct 1, 2023 • 2
A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity

Paper • 2305.13169 • Published May 22, 2023 • 3
Transformers Can Achieve Length Generalization But Not Robustly

Paper • 2402.09371 • Published Feb 14, 2024 • 15

Papers - Synthetic Data

DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Paper • 2402.10379 • Published Feb 16, 2024 • 31
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

Paper • 1709.07857 • Published Sep 22, 2017 • 2
Simple synthetic data reduces sycophancy in large language models

Paper • 2308.03958 • Published Aug 7, 2023 • 22
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities

Paper • 2308.12966 • Published Aug 24, 2023 • 8

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 84
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 147
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 147
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 13
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 57
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 47

DocGraphLM: Documental Graph Language Model for Information Extraction

Paper • 2401.02823 • Published Jan 5, 2024 • 36
Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4, 2024 • 65
DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 181
Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration

Paper • 2309.01131 • Published Sep 3, 2023 • 1

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