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Collections including paper arxiv:2210.03493

Diversity of Thought Improves Reasoning Abilities of Large Language Models

Paper • 2310.07088 • Published Oct 11, 2023 • 5
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning

Paper • 2310.04474 • Published Oct 6, 2023 • 2
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques

Paper • 2310.08101 • Published Oct 12, 2023 • 1
Instance Needs More Care: Rewriting Prompts for Instances Yields Better Zero-Shot Performance

Paper • 2310.02107 • Published Oct 3, 2023 • 3

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 • 44
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 12
Language Model Evaluation Beyond Perplexity

Paper • 2106.00085 • Published May 31, 2021

LLM to annotate Dataset

https://github.com/Zhen-Tan-dmml/LLM4Annotation

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20 • 46
Large Language Models for Data Annotation: A Survey

Paper • 2402.13446 • Published Feb 21
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

Paper • 2303.16854 • Published Mar 29, 2023 • 1
Open-Source Large Language Models Outperform Crowd Workers and Approach ChatGPT in Text-Annotation Tasks

Paper • 2307.02179 • Published Jul 5, 2023 • 7

Interesting AI papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
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 • 11

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Paper • 2310.15123 • Published Oct 23, 2023 • 7
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
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection

Paper • 2310.05035 • Published Oct 8, 2023 • 1
Chain-of-Thought Reasoning is a Policy Improvement Operator

Paper • 2309.08589 • Published Sep 15, 2023 • 1

Dissecting In-Context Learning of Translations in GPTs

Paper • 2310.15987 • Published Oct 24, 2023 • 5
In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 41
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques

Paper • 2310.08101 • Published Oct 12, 2023 • 1

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