krypticmouse
's Collections
LLMs
updated
Language Modeling Is Compression
Paper
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2309.10668
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Published
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82
Baichuan 2: Open Large-scale Language Models
Paper
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2309.10305
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Published
•
19
Chain-of-Verification Reduces Hallucination in Large Language Models
Paper
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2309.11495
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Published
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38
LMDX: Language Model-based Document Information Extraction and
Localization
Paper
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2309.10952
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Published
•
65
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper
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2309.12307
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Published
•
87
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
Paper
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2309.11998
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Published
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24
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language
Models
Paper
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2309.12284
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Published
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18
BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model
Paper
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2309.11568
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Published
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10
Contrastive Decoding Improves Reasoning in Large Language Models
Paper
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2309.09117
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Published
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37
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper
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2309.09958
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Published
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18
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language
Models
Paper
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2309.09506
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Published
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14
Cure the headache of Transformers via Collinear Constrained Attention
Paper
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2309.08646
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Published
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12
Struc-Bench: Are Large Language Models Really Good at Generating Complex
Structured Data?
Paper
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2309.08963
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Published
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9
A Distributed Data-Parallel PyTorch Implementation of the Distributed
Shampoo Optimizer for Training Neural Networks At-Scale
Paper
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2309.06497
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Published
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4
Sparse Autoencoders Find Highly Interpretable Features in Language
Models
Paper
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2309.08600
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Published
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13
Agents: An Open-source Framework for Autonomous Language Agents
Paper
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2309.07870
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Published
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42
Ambiguity-Aware In-Context Learning with Large Language Models
Paper
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2309.07900
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Published
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4
Large Language Models for Compiler Optimization
Paper
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2309.07062
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Published
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23
Statistical Rejection Sampling Improves Preference Optimization
Paper
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2309.06657
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Published
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13
Efficient Memory Management for Large Language Model Serving with
PagedAttention
Paper
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2309.06180
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Published
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25
Large Language Model for Science: A Study on P vs. NP
Paper
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2309.05689
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Published
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20
Connecting Large Language Models with Evolutionary Algorithms Yields
Powerful Prompt Optimizers
Paper
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2309.08532
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Published
•
53
Augmenting text for spoken language understanding with Large Language
Models
Paper
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2309.09390
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Published
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2
Investigating Answerability of LLMs for Long-Form Question Answering
Paper
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2309.08210
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Published
•
12
Replacing softmax with ReLU in Vision Transformers
Paper
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2309.08586
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Published
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17
Uncovering mesa-optimization algorithms in Transformers
Paper
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2309.05858
•
Published
•
12
Neurons in Large Language Models: Dead, N-gram, Positional
Paper
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2309.04827
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Published
•
16
When Less is More: Investigating Data Pruning for Pretraining LLMs at
Scale
Paper
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2309.04564
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Published
•
15
Optimize Weight Rounding via Signed Gradient Descent for the
Quantization of LLMs
Paper
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2309.05516
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Published
•
9
From Sparse to Dense: GPT-4 Summarization with Chain of Density
Prompting
Paper
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2309.04269
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Published
•
32
DoLa: Decoding by Contrasting Layers Improves Factuality in Large
Language Models
Paper
•
2309.03883
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Published
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33
One Wide Feedforward is All You Need
Paper
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2309.01826
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Published
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31
Efficient RLHF: Reducing the Memory Usage of PPO
Paper
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2309.00754
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Published
•
13
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI
Feedback
Paper
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2309.00267
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Published
•
47
YaRN: Efficient Context Window Extension of Large Language Models
Paper
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2309.00071
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Published
•
65
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder
Language Models
Paper
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2308.07922
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Published
•
17
CausalLM is not optimal for in-context learning
Paper
•
2308.06912
•
Published
•
18
Self-Alignment with Instruction Backtranslation
Paper
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2308.06259
•
Published
•
41
Shepherd: A Critic for Language Model Generation
Paper
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2308.04592
•
Published
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30
Accelerating LLM Inference with Staged Speculative Decoding
Paper
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2308.04623
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Published
•
23
Adapting Large Language Models via Reading Comprehension
Paper
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2309.09530
•
Published
•
77