Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
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2402.14083
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Published
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43
papaer selecting
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Linear Transformers are Versatile In-Context Learners
Paper • 2402.14180 • Published • 5 -
Training-Free Long-Context Scaling of Large Language Models
Paper • 2402.17463 • Published • 16 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 561 -
Evaluating Very Long-Term Conversational Memory of LLM Agents
Paper • 2402.17753 • Published • 17 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper • 2403.00071 • Published • 18 -
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 61 -
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 172 -
Design2Code: How Far Are We From Automating Front-End Engineering?
Paper • 2403.03163 • Published • 92 -
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT)
Paper • 2309.08968 • Published • 22 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 119 -
Evaluating Frontier Models for Dangerous Capabilities
Paper • 2403.13793 • Published • 7 -
The Unreasonable Ineffectiveness of the Deeper Layers
Paper • 2403.17887 • Published • 73 -
Clover: Regressive Lightweight Speculative Decoding with Sequential Knowledge
Paper • 2405.00263 • Published • 8