Collection by
Nov 9, 2024
Nov 9, 2024Collections
Discover the best community collections!
Collections including paper arxiv:2409.17422
Collection by
May 29
May 29-
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
Paper • 2408.15545 • Published • 38 -
Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 65 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 44 -
Automated Design of Agentic Systems
Paper • 2408.08435 • Published • 40
Collection by
Oct 4, 2024
Oct 4, 2024-
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Paper • 2407.02490 • Published • 27 -
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations
Paper • 2406.13632 • Published • 5 -
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
Paper • 2406.15319 • Published • 64 -
Make Your LLM Fully Utilize the Context
Paper • 2404.16811 • Published • 55
Collection by
Sep 30, 2024
Sep 30, 2024-
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
Paper • 2409.17481 • Published • 47 -
Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling
Paper • 2409.14683 • Published • 12 -
Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction
Paper • 2409.17422 • Published • 25 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 95
Collection by
Sep 9
Sep 9-
PAS: Data-Efficient Plug-and-Play Prompt Augmentation System
Paper • 2407.06027 • Published • 11 -
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Paper • 2407.09025 • Published • 138 -
Toto: Time Series Optimized Transformer for Observability
Paper • 2407.07874 • Published • 34 -
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers
Paper • 2407.09413 • Published • 11
Collection by
Sep 26
Sep 26-
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 627 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 105 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 107 -
TransformerFAM: Feedback attention is working memory
Paper • 2404.09173 • Published • 43
Collection by
Nov 9, 2024
Nov 9, 2024Collection by
Sep 30, 2024
Sep 30, 2024-
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
Paper • 2409.17481 • Published • 47 -
Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling
Paper • 2409.14683 • Published • 12 -
Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction
Paper • 2409.17422 • Published • 25 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 95
Collection by
May 29
May 29-
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
Paper • 2408.15545 • Published • 38 -
Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 65 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 44 -
Automated Design of Agentic Systems
Paper • 2408.08435 • Published • 40
Collection by
Sep 9
Sep 9-
PAS: Data-Efficient Plug-and-Play Prompt Augmentation System
Paper • 2407.06027 • Published • 11 -
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Paper • 2407.09025 • Published • 138 -
Toto: Time Series Optimized Transformer for Observability
Paper • 2407.07874 • Published • 34 -
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers
Paper • 2407.09413 • Published • 11
Collection by
Oct 4, 2024
Oct 4, 2024-
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Paper • 2407.02490 • Published • 27 -
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations
Paper • 2406.13632 • Published • 5 -
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
Paper • 2406.15319 • Published • 64 -
Make Your LLM Fully Utilize the Context
Paper • 2404.16811 • Published • 55
Collection by
Sep 26
Sep 26-
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 627 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 105 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 107 -
TransformerFAM: Feedback attention is working memory
Paper • 2404.09173 • Published • 43