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Aug 28, 2025
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Collections including paper arxiv:2309.01775
Collection by
Mar 19, 2025
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Trellis Networks for Sequence Modeling
Paper • 1810.06682 • Published • 1 -
ProSG: Using Prompt Synthetic Gradients to Alleviate Prompt Forgetting of RNN-like Language Models
Paper • 2311.01981 • Published • 1 -
Gated recurrent neural networks discover attention
Paper • 2309.01775 • Published • 10 -
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
Paper • 2305.19190 • Published • 1
Collection by
Jun 18, 2024
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Dissecting In-Context Learning of Translations in GPTs
Paper • 2310.15987 • Published • 6 -
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 -
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Paper • 2202.07922 • Published • 1 -
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques
Paper • 2310.08101 • Published • 2
Collection by
Sep 9, 2023
Collection by
Jun 11, 2024
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Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
Paper • 2312.06134 • Published • 3 -
Efficient Monotonic Multihead Attention
Paper • 2312.04515 • Published • 8 -
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 39 -
Exploring Format Consistency for Instruction Tuning
Paper • 2307.15504 • Published • 8
Collection by
Mar 15, 2025
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Efficient Memory Management for Large Language Model Serving with PagedAttention
Paper • 2309.06180 • Published • 27 -
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models
Paper • 2308.16137 • Published • 40 -
Scaling Transformer to 1M tokens and beyond with RMT
Paper • 2304.11062 • Published • 3 -
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Paper • 2309.14509 • Published • 19
Collection by
Sep 15, 2023
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One Wide Feedforward is All You Need
Paper • 2309.01826 • Published • 33 -
Gated recurrent neural networks discover attention
Paper • 2309.01775 • Published • 10 -
FLM-101B: An Open LLM and How to Train It with $100K Budget
Paper • 2309.03852 • Published • 44 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 78
Collection by
Aug 28, 2025
Collection by
Jun 11, 2024
-
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
Paper • 2312.06134 • Published • 3 -
Efficient Monotonic Multihead Attention
Paper • 2312.04515 • Published • 8 -
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 39 -
Exploring Format Consistency for Instruction Tuning
Paper • 2307.15504 • Published • 8
Collection by
Mar 19, 2025
-
Trellis Networks for Sequence Modeling
Paper • 1810.06682 • Published • 1 -
ProSG: Using Prompt Synthetic Gradients to Alleviate Prompt Forgetting of RNN-like Language Models
Paper • 2311.01981 • Published • 1 -
Gated recurrent neural networks discover attention
Paper • 2309.01775 • Published • 10 -
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
Paper • 2305.19190 • Published • 1
Collection by
Mar 15, 2025
-
Efficient Memory Management for Large Language Model Serving with PagedAttention
Paper • 2309.06180 • Published • 27 -
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models
Paper • 2308.16137 • Published • 40 -
Scaling Transformer to 1M tokens and beyond with RMT
Paper • 2304.11062 • Published • 3 -
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Paper • 2309.14509 • Published • 19
Collection by
Jun 18, 2024
-
Dissecting In-Context Learning of Translations in GPTs
Paper • 2310.15987 • Published • 6 -
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 -
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Paper • 2202.07922 • Published • 1 -
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques
Paper • 2310.08101 • Published • 2
Collection by
Sep 15, 2023
-
One Wide Feedforward is All You Need
Paper • 2309.01826 • Published • 33 -
Gated recurrent neural networks discover attention
Paper • 2309.01775 • Published • 10 -
FLM-101B: An Open LLM and How to Train It with $100K Budget
Paper • 2309.03852 • Published • 44 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 78
Collection by
Sep 9, 2023