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Collections including paper arxiv:2409.17422

random interest papers

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

Paper • 2409.17481 • Published Sep 26 • 46
Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling

Paper • 2409.14683 • Published Sep 23 • 8
Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction

Paper • 2409.17422 • Published Sep 25 • 23
Emu3: Next-Token Prediction is All You Need

Paper • 2409.18869 • Published Sep 27 • 89

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding

Paper • 2408.15545 • Published Aug 28 • 34
Controllable Text Generation for Large Language Models: A Survey

Paper • 2408.12599 • Published Aug 22 • 62
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20 • 40
Automated Design of Agentic Systems

Paper • 2408.08435 • Published Aug 15 • 38

PAS: Data-Efficient Plug-and-Play Prompt Augmentation System

Paper • 2407.06027 • Published Jul 8 • 8
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models

Paper • 2407.09025 • Published Jul 12 • 128
Toto: Time Series Optimized Transformer for Observability

Paper • 2407.07874 • Published Jul 10 • 29
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers

Paper • 2407.09413 • Published Jul 12 • 9

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Paper • 2407.02490 • Published Jul 2 • 23
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations

Paper • 2406.13632 • Published Jun 19 • 5
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Paper • 2406.15319 • Published Jun 21 • 60
Make Your LLM Fully Utilize the Context

Paper • 2404.16811 • Published Apr 25 • 52

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 602
BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 96
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2 • 104
TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14 • 43

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