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Collections including paper arxiv:2403.07816

Candidate papers to read in the H4 journal club

The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs

Paper • 2210.14986 • Published Oct 26, 2022 • 5
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Paper • 2311.10702 • Published Nov 17, 2023 • 19
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 75
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

Paper • 2309.04269 • Published Sep 8, 2023 • 32

Papers on Mixture of Experts (MoE)

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Paper • 2403.07816 • Published Mar 12, 2024 • 40
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Paper • 2402.01739 • Published Jan 29, 2024 • 27
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Paper • 2401.15947 • Published Jan 29, 2024 • 50
Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

Paper • 2403.03432 • Published Mar 6, 2024 • 1

Gemma: Open Models Based on Gemini Research and Technology

Paper • 2403.08295 • Published Mar 13, 2024 • 48
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Paper • 2403.13372 • Published Mar 20, 2024 • 64
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Paper • 2403.07816 • Published Mar 12, 2024 • 40
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks

Paper • 2311.07463 • Published Nov 13, 2023 • 14

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Paper • 2403.07816 • Published Mar 12, 2024 • 40

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Paper • 2403.07816 • Published Mar 12, 2024 • 40
microsoft/phi-1_5

Text Generation • Updated Apr 29, 2024 • 110k • 1.32k
Language models scale reliably with over-training and on downstream tasks

Paper • 2403.08540 • Published Mar 13, 2024 • 15
Akashpb13/Swahili_xlsr

Automatic Speech Recognition • Updated Aug 27, 2023 • 97 • 8

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Paper • 2403.07816 • Published Mar 12, 2024 • 40

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Paper • 2403.07816 • Published Mar 12, 2024 • 40

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Paper • 2403.07816 • Published Mar 12, 2024 • 40

Papers I find interesting

Scaling Instruction-Finetuned Language Models

Paper • 2210.11416 • Published Oct 20, 2022 • 7
Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Paper • 2312.00752 • Published Dec 1, 2023 • 140
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8, 2024 • 62
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7, 2024 • 62

Papers - MoE - Router - Research

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts

Paper • 2306.04845 • Published Jun 8, 2023 • 4
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks

Paper • 2306.04073 • Published Jun 7, 2023 • 2
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Paper • 2403.07816 • Published Mar 12, 2024 • 40
Unified Scaling Laws for Routed Language Models

Paper • 2202.01169 • Published Feb 2, 2022 • 2

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