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Collections including paper arxiv:2403.08295

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 • 20
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 74
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 135
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30 • 22

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 35
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 11
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 11
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 10

Gemma: Open Models Based on Gemini Research and Technology

Paper • 2403.08295 • Published Mar 13 • 43
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Paper • 2403.13372 • Published Mar 20 • 57
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Paper • 2403.07816 • Published Mar 12 • 37
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks

Paper • 2311.07463 • Published Nov 13, 2023 • 13

Evolutionary Optimization of Model Merging Recipes

Paper • 2403.13187 • Published Mar 19 • 45
Gemma: Open Models Based on Gemini Research and Technology

Paper • 2403.08295 • Published Mar 13 • 43
ViTAR: Vision Transformer with Any Resolution

Paper • 2403.18361 • Published Mar 27 • 48
Jamba: A Hybrid Transformer-Mamba Language Model

Paper • 2403.19887 • Published Mar 28 • 99

Papers - Base Models - Text - Coding

Gemma: Open Models Based on Gemini Research and Technology

Paper • 2403.08295 • Published Mar 13 • 43

General Purpose LLM

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8 • 50
Gemma: Open Models Based on Gemini Research and Technology

Paper • 2403.08295 • Published Mar 13 • 43

Papers - Text - Research

An Interdisciplinary Comparison of Sequence Modeling Methods for Next-Element Prediction

Paper • 1811.00062 • Published Oct 31, 2018 • 2
mT5: A massively multilingual pre-trained text-to-text transformer

Paper • 2010.11934 • Published Oct 22, 2020 • 4
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance

Paper • 2310.10021 • Published Oct 16, 2023 • 2
Gemma: Open Models Based on Gemini Research and Technology

Paper • 2403.08295 • Published Mar 13 • 43

Papers I find interesting

Scaling Instruction-Finetuned Language Models

Paper • 2210.11416 • Published Oct 20, 2022 • 5
Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Paper • 2312.00752 • Published Dec 1, 2023 • 131
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8 • 50
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7 • 59

(Continued) Pretraining

Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 69
Gemma: Open Models Based on Gemini Research and Technology

Paper • 2403.08295 • Published Mar 13 • 43
Simple and Scalable Strategies to Continually Pre-train Large Language Models

Paper • 2403.08763 • Published Mar 13 • 48
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Paper • 2401.02954 • Published Jan 5 • 38

Technical Report

Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7 • 59
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Paper • 2401.02954 • Published Jan 5 • 38
Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 30
Gemma: Open Models Based on Gemini Research and Technology

Paper • 2403.08295 • Published Mar 13 • 43

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