kaizuberbuehler
's Collections
LM Capabilities and Scaling
updated
Compression Represents Intelligence Linearly
Paper
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2404.09937
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Published
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27
MiniCPM: Unveiling the Potential of Small Language Models with Scalable
Training Strategies
Paper
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2404.06395
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Published
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22
Long-context LLMs Struggle with Long In-context Learning
Paper
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2404.02060
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Published
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36
Are large language models superhuman chemists?
Paper
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2404.01475
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Published
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16
FlowMind: Automatic Workflow Generation with LLMs
Paper
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2404.13050
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Published
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34
Capabilities of Gemini Models in Medicine
Paper
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2404.18416
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Published
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23
Imp: Highly Capable Large Multimodal Models for Mobile Devices
Paper
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2405.12107
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Published
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26
On the Planning Abilities of Large Language Models -- A Critical
Investigation
Paper
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2305.15771
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Published
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1
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning
Paper
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2406.09170
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Published
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24
MuirBench: A Comprehensive Benchmark for Robust Multi-image
Understanding
Paper
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2406.09411
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Published
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18
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo
Tree Self-refine with LLaMa-3 8B
Paper
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2406.07394
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Published
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26
GEB-1.3B: Open Lightweight Large Language Model
Paper
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2406.09900
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Published
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21
Mixture of A Million Experts
Paper
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2407.04153
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Published
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5
Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws
Paper
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2404.05405
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Published
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10
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers
Paper
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2408.06195
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Published
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64
Attention Heads of Large Language Models: A Survey
Paper
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2409.03752
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Published
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89
HelloBench: Evaluating Long Text Generation Capabilities of Large
Language Models
Paper
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2409.16191
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Published
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42
Making Text Embedders Few-Shot Learners
Paper
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2409.15700
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Published
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30
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from
Disparate Training Data
Paper
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2406.14546
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Published
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2
Are Your LLMs Capable of Stable Reasoning?
Paper
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2412.13147
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Published
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91
CodeElo: Benchmarking Competition-level Code Generation of LLMs with
Human-comparable Elo Ratings
Paper
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2501.01257
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Published
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41
ProgCo: Program Helps Self-Correction of Large Language Models
Paper
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2501.01264
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Published
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23
Paper
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2412.04315
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Published
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17
Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for
Quantized LLMs with 100T Training Tokens
Paper
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2411.17691
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Published
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11