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Collections including paper arxiv:2305.04757

Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization

Paper • 2303.12314 • Published Mar 22, 2023 • 1
Augmented Large Language Models with Parametric Knowledge Guiding

Paper • 2305.04757 • Published May 8, 2023 • 2
Learning to Retrieve In-Context Examples for Large Language Models

Paper • 2307.07164 • Published Jul 14, 2023 • 21
LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners

Paper • 2110.06274 • Published Oct 12, 2021 • 1

Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering

Paper • 2204.04581 • Published Apr 10, 2022 • 1
Retrieval-Augmented Multimodal Language Modeling

Paper • 2211.12561 • Published Nov 22, 2022 • 1
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Paper • 2212.10511 • Published Dec 20, 2022 • 1
Memorizing Transformers

Paper • 2203.08913 • Published Mar 16, 2022 • 2

Continual learning

CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization

Paper • 2310.10134 • Published Oct 16, 2023 • 1
TiC-CLIP: Continual Training of CLIP Models

Paper • 2310.16226 • Published Oct 24, 2023 • 8
In-Context Pretraining: Language Modeling Beyond Document Boundaries

Paper • 2310.10638 • Published Oct 16, 2023 • 28
Controlled Decoding from Language Models

Paper • 2310.17022 • Published Oct 25, 2023 • 14

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

Paper • 2310.08659 • Published Oct 12, 2023 • 22
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

Knowledge distillation

Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 14
Teaching Language Models to Self-Improve through Interactive Demonstrations

Paper • 2310.13522 • Published Oct 20, 2023 • 11
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection

Paper • 2310.05035 • Published Oct 8, 2023 • 1
Tuna: Instruction Tuning using Feedback from Large Language Models

Paper • 2310.13385 • Published Oct 20, 2023 • 10

Dataset generation

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 4
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 18
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

Paper • 2310.15511 • Published Oct 24, 2023 • 4
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Paper • 2310.13227 • Published Oct 20, 2023 • 12
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning

Paper • 2310.04474 • Published Oct 6, 2023 • 2
AgentTuning: Enabling Generalized Agent Abilities for LLMs

Paper • 2310.12823 • Published Oct 19, 2023 • 35

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