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Collections including paper arxiv:2106.09685

LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Paper • 2310.08659 • Published Oct 12, 2023 • 20
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Paper • 2309.14717 • Published Sep 26, 2023 • 43
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers

Paper • 2309.16119 • Published Sep 28, 2023 • 1
LoRA ensembles for large language model fine-tuning

Paper • 2310.00035 • Published Sep 29, 2023 • 2

Influential papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 34
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 11
Universal Language Model Fine-tuning for Text Classification

Paper • 1801.06146 • Published Jan 18, 2018 • 6
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 9

Octopus v2: On-device language model for super agent

Paper • 2404.01744 • Published Apr 2 • 53
LoRA: Low-Rank Adaptation of Large Language Models

Paper • 2106.09685 • Published Jun 17, 2021 • 24

Must Reads On Transformers and Diffusers

Explore the cutting-edge of AI with our curated list of must reads on Transformers & Diffusers, driving innovation in generative-AI and beyond.

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Paper • 1701.06538 • Published Jan 23, 2017 • 4
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 34
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 11
Language Model Evaluation Beyond Perplexity

Paper • 2106.00085 • Published May 31, 2021

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14 • 119
LoRA: Low-Rank Adaptation of Large Language Models

Paper • 2106.09685 • Published Jun 17, 2021 • 24
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Paper • 2403.03853 • Published Mar 6 • 61
LLM-ABR: Designing Adaptive Bitrate Algorithms via Large Language Models

Paper • 2404.01617 • Published Apr 2 • 6

NLP Parameter Efficient Finetuning

Explore research optimizing NLP models for maximum performance with minimal computational resources.

Efficient Few-Shot Learning Without Prompts

Paper • 2209.11055 • Published Sep 22, 2022 • 2
Parameter-Efficient Transfer Learning for NLP

Paper • 1902.00751 • Published Feb 2, 2019 • 1
GPT Understands, Too

Paper • 2103.10385 • Published Mar 18, 2021 • 3
The Power of Scale for Parameter-Efficient Prompt Tuning

Paper • 2104.08691 • Published Apr 18, 2021 • 6

LoRA: Low-Rank Adaptation of Large Language Models

Paper • 2106.09685 • Published Jun 17, 2021 • 24

Large Language Model (LLM) and NLP related papers.

about 24 hours ago

LoRA+: Efficient Low Rank Adaptation of Large Models

Paper • 2402.12354 • Published Feb 19 • 5
The FinBen: An Holistic Financial Benchmark for Large Language Models

Paper • 2402.12659 • Published Feb 20 • 13
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

Paper • 2402.13249 • Published Feb 20 • 10
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 62

Large Language Model Alignment: A Survey

Paper • 2309.15025 • Published Sep 26, 2023 • 2
Aligning Large Language Models with Human: A Survey

Paper • 2307.12966 • Published Jul 24, 2023 • 1
Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 37
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF

Paper • 2310.05344 • Published Oct 9, 2023 • 1

Finished Reading

Collections of interesting papers I have read so far in Machine Learning.

Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 235
LoRA: Low-Rank Adaptation of Large Language Models

Paper • 2106.09685 • Published Jun 17, 2021 • 24

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