Compression Represents Intelligence Linearly
Paper
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2404.09937
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Published
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27
LM Capabilities and Scaling
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MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Paper • 2404.06395 • Published • 21 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 35 -
Are large language models superhuman chemists?
Paper • 2404.01475 • Published • 16 -
FlowMind: Automatic Workflow Generation with LLMs
Paper • 2404.13050 • Published • 32 -
Capabilities of Gemini Models in Medicine
Paper • 2404.18416 • Published • 23 -
Imp: Highly Capable Large Multimodal Models for Mobile Devices
Paper • 2405.12107 • Published • 25 -
On the Planning Abilities of Large Language Models -- A Critical Investigation
Paper • 2305.15771 • Published • 1 -
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning
Paper • 2406.09170 • Published • 24 -
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
Paper • 2406.09411 • Published • 18 -
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B
Paper • 2406.07394 • Published • 23 -
GEB-1.3B: Open Lightweight Large Language Model
Paper • 2406.09900 • Published • 20 -
Mixture of A Million Experts
Paper • 2407.04153 • Published • 4 -
Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws
Paper • 2404.05405 • Published • 9 -
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers
Paper • 2408.06195 • Published • 61 -
Attention Heads of Large Language Models: A Survey
Paper • 2409.03752 • Published • 87 -
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
Paper • 2409.16191 • Published • 41 -
Making Text Embedders Few-Shot Learners
Paper • 2409.15700 • Published • 29 -
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
Paper • 2406.14546 • Published • 2