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Collections including paper arxiv:2410.16144

OpenClaw-RL: Train Any Agent Simply by Talking

Paper • 2603.10165 • Published Mar 10 • 151
Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights

Paper • 2603.12228 • Published Mar 12 • 12
Efficient Memory Management for Large Language Model Serving with PagedAttention

Paper • 2309.06180 • Published Sep 12, 2023 • 53
1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21, 2024 • 5

Papers - Inference - CPU - Intel

1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21, 2024 • 5

Papers - BitNet

Additional paper with faq, code and tips on: https://github.com/microsoft/unilm/blob/master/bitnet/The-Era-of-1-bit-LLMs__Training_Tips_Code_FAQ.pdf

You Only Cache Once: Decoder-Decoder Architectures for Language Models

Paper • 2405.05254 • Published May 8, 2024 • 10
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 628
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model

Paper • 2406.04333 • Published Jun 6, 2024 • 38
1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21, 2024 • 5

Papers - Inference

Hydragen: High-Throughput LLM Inference with Shared Prefixes

Paper • 2402.05099 • Published Feb 7, 2024 • 20
1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21, 2024 • 5

Papers - Inference - CPU - Apple

1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21, 2024 • 5

Papers - Inference - CPU - Intel vs Apple - BitNet

1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21, 2024 • 5

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

Paper • 2402.17764 • Published Feb 27, 2024 • 628
BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 107
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2, 2024 • 107
TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14, 2024 • 43

Papers - Microsoft

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22, 2024 • 33
GaussianCube: Structuring Gaussian Splatting using Optimal Transport for 3D Generative Modeling

Paper • 2403.19655 • Published Mar 28, 2024 • 19
WavLLM: Towards Robust and Adaptive Speech Large Language Model

Paper • 2404.00656 • Published Mar 31, 2024 • 11
Enabling Memory Safety of C Programs using LLMs

Paper • 2404.01096 • Published Apr 1, 2024 • 1

OpenClaw-RL: Train Any Agent Simply by Talking

Paper • 2603.10165 • Published Mar 10 • 151
Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights

Paper • 2603.12228 • Published Mar 12 • 12
Efficient Memory Management for Large Language Model Serving with PagedAttention

Paper • 2309.06180 • Published Sep 12, 2023 • 53
1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21, 2024 • 5

Papers - Inference - CPU - Apple

1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21, 2024 • 5

Papers - Inference - CPU - Intel

1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21, 2024 • 5

Papers - Inference - CPU - Intel vs Apple - BitNet

1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21, 2024 • 5

Papers - BitNet

Additional paper with faq, code and tips on: https://github.com/microsoft/unilm/blob/master/bitnet/The-Era-of-1-bit-LLMs__Training_Tips_Code_FAQ.pdf

You Only Cache Once: Decoder-Decoder Architectures for Language Models

Paper • 2405.05254 • Published May 8, 2024 • 10
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 628
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model

Paper • 2406.04333 • Published Jun 6, 2024 • 38
1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21, 2024 • 5

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

Paper • 2402.17764 • Published Feb 27, 2024 • 628
BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 107
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2, 2024 • 107
TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14, 2024 • 43

Papers - Inference

Hydragen: High-Throughput LLM Inference with Shared Prefixes

Paper • 2402.05099 • Published Feb 7, 2024 • 20
1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21, 2024 • 5

Papers - Microsoft

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22, 2024 • 33
GaussianCube: Structuring Gaussian Splatting using Optimal Transport for 3D Generative Modeling

Paper • 2403.19655 • Published Mar 28, 2024 • 19
WavLLM: Towards Robust and Adaptive Speech Large Language Model

Paper • 2404.00656 • Published Mar 31, 2024 • 11
Enabling Memory Safety of C Programs using LLMs

Paper • 2404.01096 • Published Apr 1, 2024 • 1

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