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AtP*: An efficient and scalable method for localizing LLM behaviour to components
Paper • 2403.00745 • Published • 14 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 625 -
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT
Paper • 2402.16840 • Published • 26 -
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Paper • 2402.13753 • Published • 116
Collections
Discover the best community collections!
Collections including paper arxiv:2403.00745
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Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 53 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 56 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper • 2403.00522 • Published • 46 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper • 2403.00071 • Published • 24
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DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 30 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 134 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper • 2403.00071 • Published • 24 -
AtP*: An efficient and scalable method for localizing LLM behaviour to components
Paper • 2403.00745 • Published • 14
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DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
Paper • 2408.08152 • Published • 59 -
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition
Paper • 2402.15220 • Published • 22 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 56 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 20
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A Language Model's Guide Through Latent Space
Paper • 2402.14433 • Published • 1 -
The Hidden Space of Transformer Language Adapters
Paper • 2402.13137 • Published -
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models
Paper • 2402.16438 • Published -
AtP*: An efficient and scalable method for localizing LLM behaviour to components
Paper • 2403.00745 • Published • 14
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Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 21 -
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 • 131 -
Specialized Language Models with Cheap Inference from Limited Domain Data
Paper • 2402.01093 • Published • 47
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Latent Reasoning in LLMs as a Vocabulary-Space Superposition
Paper • 2510.15522 • Published • 1 -
Language Models are Injective and Hence Invertible
Paper • 2510.15511 • Published • 67 -
Eliciting Secret Knowledge from Language Models
Paper • 2510.01070 • Published • 4 -
Interpreting Language Models Through Concept Descriptions: A Survey
Paper • 2510.01048 • Published • 2
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AtP*: An efficient and scalable method for localizing LLM behaviour to components
Paper • 2403.00745 • Published • 14 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 625 -
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT
Paper • 2402.16840 • Published • 26 -
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Paper • 2402.13753 • Published • 116
-
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 53 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 56 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper • 2403.00522 • Published • 46 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper • 2403.00071 • Published • 24
-
A Language Model's Guide Through Latent Space
Paper • 2402.14433 • Published • 1 -
The Hidden Space of Transformer Language Adapters
Paper • 2402.13137 • Published -
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models
Paper • 2402.16438 • Published -
AtP*: An efficient and scalable method for localizing LLM behaviour to components
Paper • 2403.00745 • Published • 14
-
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 30 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 134 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper • 2403.00071 • Published • 24 -
AtP*: An efficient and scalable method for localizing LLM behaviour to components
Paper • 2403.00745 • Published • 14
-
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 21 -
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 • 131 -
Specialized Language Models with Cheap Inference from Limited Domain Data
Paper • 2402.01093 • Published • 47
-
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
Paper • 2408.08152 • Published • 59 -
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition
Paper • 2402.15220 • Published • 22 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 56 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 20
-
Latent Reasoning in LLMs as a Vocabulary-Space Superposition
Paper • 2510.15522 • Published • 1 -
Language Models are Injective and Hence Invertible
Paper • 2510.15511 • Published • 67 -
Eliciting Secret Knowledge from Language Models
Paper • 2510.01070 • Published • 4 -
Interpreting Language Models Through Concept Descriptions: A Survey
Paper • 2510.01048 • Published • 2