Collections
Discover the best community collections!
Collections trending this week
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Can large language models explore in-context?
Paper • 2403.15371 • Published • 30 -
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Paper • 2406.04271 • Published • 29 -
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis
Paper • 2407.13301 • Published • 54 -
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents
Paper • 2410.07484 • Published • 50
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Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
Paper • 2403.09636 • Published • 3 -
TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
Paper • 2404.11912 • Published • 17 -
Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache
Paper • 2401.02669 • Published • 17 -
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
Paper • 2404.16710 • Published • 79
-
Can large language models explore in-context?
Paper • 2403.15371 • Published • 30 -
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Paper • 2406.04271 • Published • 29 -
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis
Paper • 2407.13301 • Published • 54 -
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents
Paper • 2410.07484 • Published • 50
-
Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
Paper • 2403.09636 • Published • 3 -
TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
Paper • 2404.11912 • Published • 17 -
Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache
Paper • 2401.02669 • Published • 17 -
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
Paper • 2404.16710 • Published • 79