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Discover the best community collections!

Collections including paper arxiv:2401.15024

PDFTriage: Question Answering over Long, Structured Documents

Paper • 2309.08872 • Published Sep 16, 2023 • 52
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 75
Table-GPT: Table-tuned GPT for Diverse Table Tasks

Paper • 2310.09263 • Published Oct 13, 2023 • 39
Context-Aware Meta-Learning

Paper • 2310.10971 • Published Oct 17, 2023 • 16

Efficient LMs - Small Models

How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15 • 38
SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Paper • 2401.15024 • Published Jan 26 • 67
SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning

Paper • 2407.07523 • Published Jul 10 • 4
Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models

Paper • 2407.12327 • Published Jul 17 • 74

Order Matters in the Presence of Dataset Imbalance for Multilingual Learning

Paper • 2312.06134 • Published Dec 11, 2023 • 2
Efficient Monotonic Multihead Attention

Paper • 2312.04515 • Published Dec 7, 2023 • 6
Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 37
Exploring Format Consistency for Instruction Tuning

Paper • 2307.15504 • Published Jul 28, 2023 • 6

lshort-transformers

Papers useful when writing the paper: "The Not So Short Transfromers"

ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Paper • 2403.03853 • Published Mar 6 • 62
SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Paper • 2401.15024 • Published Jan 26 • 67
Your Transformer is Secretly Linear

Paper • 2405.12250 • Published May 19 • 148
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7 • 61

SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Paper • 2401.15024 • Published Jan 26 • 67

Papers - Reduce Model Size - SliceGPT

SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Paper • 2401.15024 • Published Jan 26 • 67

ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Paper • 2403.03853 • Published Mar 6 • 62
SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

Paper • 2301.00774 • Published Jan 2, 2023 • 2
The LLM Surgeon

Paper • 2312.17244 • Published Dec 28, 2023 • 9
SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Paper • 2401.15024 • Published Jan 26 • 67

SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Paper • 2401.15024 • Published Jan 26 • 67
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 587

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 94
How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15 • 38
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15 • 17
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

Paper • 2402.09727 • Published Feb 15 • 35

SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Paper • 2401.15024 • Published Jan 26 • 67

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