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Enhancing Automated Interpretability with Output-Centric Feature Descriptions
Paper • 2501.08319 • Published • 10 -
Open Problems in Machine Unlearning for AI Safety
Paper • 2501.04952 • Published • 1 -
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
Paper • 2412.16247 • Published • 1 -
Inferring Functionality of Attention Heads from their Parameters
Paper • 2412.11965 • Published • 2
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Collections including paper arxiv:2404.03592
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 147 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 13 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 54 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 46
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 105 -
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55 -
Make Your LLM Fully Utilize the Context
Paper • 2404.16811 • Published • 53 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 93
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Extending Llama-3's Context Ten-Fold Overnight
Paper • 2404.19553 • Published • 34 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 93 -
Why do small language models underperform? Studying Language Model Saturation via the Softmax Bottleneck
Paper • 2404.07647 • Published • 4 -
SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning
Paper • 2401.07950 • Published • 4
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Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 90 -
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 18 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 26 -
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 26