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Collections including paper arxiv:2402.17759

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 • 138
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8 • 59
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7 • 62

ibm/AttaQ

Viewer • Updated Jan 26 • 1.4k • 913 • 11
snorkelai/snorkel-curated-instruction-tuning

Preview • Updated Mar 11 • 124 • 8
corbyrosset/researchy_questions

Viewer • Updated Feb 29 • 96.4k • 1.39k • 24
argilla/ultrafeedback-binarized-preferences

Viewer • Updated Nov 30, 2023 • 63.6k • 271 • 66

StarCoder 2 and The Stack v2: The Next Generation

Paper • 2402.19173 • Published Feb 29 • 134
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29 • 52
Simple linear attention language models balance the recall-throughput tradeoff

Paper • 2402.18668 • Published Feb 28 • 18
Priority Sampling of Large Language Models for Compilers

Paper • 2402.18734 • Published Feb 28 • 16

daily_paper_coll

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29 • 52
Beyond Language Models: Byte Models are Digital World Simulators

Paper • 2402.19155 • Published Feb 29 • 49
StarCoder 2 and The Stack v2: The Next Generation

Paper • 2402.19173 • Published Feb 29 • 134
Simple linear attention language models balance the recall-throughput tradeoff

Paper • 2402.18668 • Published Feb 28 • 18

Visual In-Context Prompting

Paper • 2311.13601 • Published Nov 22, 2023 • 16
Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 142
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework

Paper • 2308.08155 • Published Aug 16, 2023 • 3
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models

Paper • 2303.02927 • Published Mar 6, 2023 • 3

Papers - Learning and Compression

Towards Optimal Learning of Language Models

Paper • 2402.17759 • Published Feb 27 • 16

Towards Optimal Learning of Language Models

Paper • 2402.17759 • Published Feb 27 • 16

Efficient Training

Rethinking Optimization and Architecture for Tiny Language Models

Paper • 2402.02791 • Published Feb 5 • 12
Specialized Language Models with Cheap Inference from Limited Domain Data

Paper • 2402.01093 • Published Feb 2 • 45
Scavenging Hyena: Distilling Transformers into Long Convolution Models

Paper • 2401.17574 • Published Jan 31 • 15
Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4 • 61

SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Paper • 2401.15024 • Published Jan 26 • 68
FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design

Paper • 2401.14112 • Published Jan 25 • 17
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models

Paper • 2401.13919 • Published Jan 25 • 25
Sketch2NeRF: Multi-view Sketch-guided Text-to-3D Generation

Paper • 2401.14257 • Published Jan 25 • 9

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Paper • 2401.10774 • Published Jan 19 • 53
APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding

Paper • 2401.06761 • Published Jan 12 • 1
Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache

Paper • 2401.02669 • Published Jan 5 • 14
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24 • 49

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