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BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolation
Paper • 2401.17053 • Published • 31 -
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
Paper • 2402.04248 • Published • 30 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 76 -
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
Paper • 2402.05930 • Published • 38
Collections
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Collections including paper arxiv:2402.04248
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 52 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 18 -
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
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 145 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 29 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 21 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 66
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Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
Paper • 2401.02994 • Published • 49 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 53 -
Repeat After Me: Transformers are Better than State Space Models at Copying
Paper • 2402.01032 • Published • 22 -
BlackMamba: Mixture of Experts for State-Space Models
Paper • 2402.01771 • Published • 23
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A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
Paper • 2310.16656 • Published • 40 -
Unsupervised Universal Image Segmentation
Paper • 2312.17243 • Published • 19 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 114 -
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
Paper • 2402.04248 • Published • 30
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Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 138 -
SparQ Attention: Bandwidth-Efficient LLM Inference
Paper • 2312.04985 • Published • 38 -
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models
Paper • 2401.04658 • Published • 25 -
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models
Paper • 2401.06951 • Published • 25