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PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 52 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 75 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 39 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 16
Collections
Discover the best community collections!
Collections including paper arxiv:2401.15024
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How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 38 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 67 -
SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning
Paper • 2407.07523 • Published • 4 -
Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models
Paper • 2407.12327 • Published • 74
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Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
Paper • 2312.06134 • Published • 2 -
Efficient Monotonic Multihead Attention
Paper • 2312.04515 • Published • 6 -
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 37 -
Exploring Format Consistency for Instruction Tuning
Paper • 2307.15504 • Published • 6
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ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 62 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 67 -
Your Transformer is Secretly Linear
Paper • 2405.12250 • Published • 148 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 61
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ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 62 -
SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot
Paper • 2301.00774 • Published • 2 -
The LLM Surgeon
Paper • 2312.17244 • Published • 9 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 67
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 94 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 38 -
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 17 -
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
Paper • 2402.09727 • Published • 35