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Mar 2, 2024
Mar 2, 2024
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Discover the best community collections!
Collections including paper arxiv:2402.17764
Collection by
Apr 13, 2024
Apr 13, 2024
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Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 19 -
Linear Transformers with Learnable Kernel Functions are Better In-Context Models
Paper • 2402.10644 • Published • 80 -
Repeat After Me: Transformers are Better than State Space Models at Copying
Paper • 2402.01032 • Published • 24 -
Zoology: Measuring and Improving Recall in Efficient Language Models
Paper • 2312.04927 • Published • 2
Collection by
Mar 4, 2024
Mar 4, 2024
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Transformers are Multi-State RNNs
Paper • 2401.06104 • Published • 37 -
Linear Transformers with Learnable Kernel Functions are Better In-Context Models
Paper • 2402.10644 • Published • 80 -
In Search of Needles in a 10M Haystack: Recurrent Memory Finds What LLMs Miss
Paper • 2402.10790 • Published • 42 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 609
Collection by
Aug 27, 2024
Aug 27, 2024
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Rethinking Optimization and Architecture for Tiny Language Models
Paper • 2402.02791 • Published • 13 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 53 -
Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Paper • 2401.05605 • Published -
Aligning Large Language Models with Counterfactual DPO
Paper • 2401.09566 • Published • 2
Collection by
Mar 19, 2024
Mar 19, 2024
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Scaling Laws for Downstream Task Performance of Large Language Models
Paper • 2402.04177 • Published • 18 -
Offline Actor-Critic Reinforcement Learning Scales to Large Models
Paper • 2402.05546 • Published • 5 -
SaulLM-7B: A pioneering Large Language Model for Law
Paper • 2403.03883 • Published • 79 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 609
Collection by
Mar 30, 2024
Mar 30, 2024
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Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 19 -
Transforming and Combining Rewards for Aligning Large Language Models
Paper • 2402.00742 • Published • 12 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 97 -
Specialized Language Models with Cheap Inference from Limited Domain Data
Paper • 2402.01093 • Published • 46
Collection by
Feb 28, 2024
Feb 28, 2024
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BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolation
Paper • 2401.17053 • Published • 32 -
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
Paper • 2402.04248 • Published • 31 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 97 -
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
Paper • 2402.05930 • Published • 39
Collection by
Mar 18, 2024
Mar 18, 2024
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SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 72 -
FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design
Paper • 2401.14112 • Published • 19 -
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models
Paper • 2401.13919 • Published • 30 -
Sketch2NeRF: Multi-view Sketch-guided Text-to-3D Generation
Paper • 2401.14257 • Published • 11
Collection by
Aug 28, 2024
Aug 28, 2024
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 53 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 19 -
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition
Paper • 2402.15220 • Published • 19 -
Linear Transformers are Versatile In-Context Learners
Paper • 2402.14180 • Published • 6
Collection by
Apr 23, 2024
Apr 23, 2024
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 146 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 53 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 83 -
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Paper • 2402.01739 • Published • 27