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Collections including paper arxiv:2309.03409

LLM Agent and Prompt Optimizers

Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77
GREATERPROMPT: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization

Paper • 2504.03975 • Published Apr 4
PromptWizard: Task-Aware Prompt Optimization Framework

Paper • 2405.18369 • Published May 28, 2024 • 1
TAPO: Task-Referenced Adaptation for Prompt Optimization

Paper • 2501.06689 • Published Jan 12

Papers - Training Research

Measuring the Effects of Data Parallelism on Neural Network Training

Paper • 1811.03600 • Published Nov 8, 2018 • 2
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Paper • 1804.04235 • Published Apr 11, 2018 • 2
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 3
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7, 2024 • 66

Candidate papers to read in the H4 journal club

The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs

Paper • 2210.14986 • Published Oct 26, 2022 • 5
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Paper • 2311.10702 • Published Nov 17, 2023 • 20
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

Paper • 2309.04269 • Published Sep 8, 2023 • 33

Moral Foundations of Large Language Models

Paper • 2310.15337 • Published Oct 23, 2023 • 1
Specific versus General Principles for Constitutional AI

Paper • 2310.13798 • Published Oct 20, 2023 • 3
Contrastive Prefence Learning: Learning from Human Feedback without RL

Paper • 2310.13639 • Published Oct 20, 2023 • 25
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 52

coding with llms

Chain-of-Verification Reduces Hallucination in Large Language Models

Paper • 2309.11495 • Published Sep 20, 2023 • 39
CodePlan: Repository-level Coding using LLMs and Planning

Paper • 2309.12499 • Published Sep 21, 2023 • 78
SCREWS: A Modular Framework for Reasoning with Revisions

Paper • 2309.13075 • Published Sep 20, 2023 • 17
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Paper • 2309.08532 • Published Sep 15, 2023 • 53

Papers - Training Research - Time series

Chronos: Learning the Language of Time Series

Paper • 2403.07815 • Published Mar 12, 2024 • 48
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77
Pattern Discovery in Time Series with Byte Pair Encoding

Paper • 2106.00614 • Published May 30, 2021 • 2
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Paper • 2403.19888 • Published Mar 29, 2024 • 12

Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Paper • 2312.16171 • Published Dec 26, 2023 • 37
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77

Cognitive Architectures for Language Agents

Paper • 2309.02427 • Published Sep 5, 2023 • 8
Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 63
Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 77
Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models

Paper • 2311.00871 • Published Nov 1, 2023 • 3

Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior

Paper • 2309.00359 • Published Sep 1, 2023 • 22
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77
Natural Language Supervision for General-Purpose Audio Representations

Paper • 2309.05767 • Published Sep 11, 2023 • 9
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT)

Paper • 2309.08968 • Published Sep 16, 2023 • 23

Papers related to prompt engineering and optimizers

Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Paper • 2309.08532 • Published Sep 15, 2023 • 53
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77
Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Paper • 2308.09687 • Published Aug 18, 2023 • 7
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Paper • 2211.12588 • Published Nov 22, 2022 • 3

LLM Agent and Prompt Optimizers

Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77
GREATERPROMPT: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization

Paper • 2504.03975 • Published Apr 4
PromptWizard: Task-Aware Prompt Optimization Framework

Paper • 2405.18369 • Published May 28, 2024 • 1
TAPO: Task-Referenced Adaptation for Prompt Optimization

Paper • 2501.06689 • Published Jan 12

Papers - Training Research - Time series

Chronos: Learning the Language of Time Series

Paper • 2403.07815 • Published Mar 12, 2024 • 48
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77
Pattern Discovery in Time Series with Byte Pair Encoding

Paper • 2106.00614 • Published May 30, 2021 • 2
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Paper • 2403.19888 • Published Mar 29, 2024 • 12

Papers - Training Research

Measuring the Effects of Data Parallelism on Neural Network Training

Paper • 1811.03600 • Published Nov 8, 2018 • 2
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Paper • 1804.04235 • Published Apr 11, 2018 • 2
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 3
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7, 2024 • 66

Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Paper • 2312.16171 • Published Dec 26, 2023 • 37
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77

Candidate papers to read in the H4 journal club

The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs

Paper • 2210.14986 • Published Oct 26, 2022 • 5
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Paper • 2311.10702 • Published Nov 17, 2023 • 20
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

Paper • 2309.04269 • Published Sep 8, 2023 • 33

Cognitive Architectures for Language Agents

Paper • 2309.02427 • Published Sep 5, 2023 • 8
Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 63
Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 77
Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models

Paper • 2311.00871 • Published Nov 1, 2023 • 3

Moral Foundations of Large Language Models

Paper • 2310.15337 • Published Oct 23, 2023 • 1
Specific versus General Principles for Constitutional AI

Paper • 2310.13798 • Published Oct 20, 2023 • 3
Contrastive Prefence Learning: Learning from Human Feedback without RL

Paper • 2310.13639 • Published Oct 20, 2023 • 25
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 52

Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior

Paper • 2309.00359 • Published Sep 1, 2023 • 22
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77
Natural Language Supervision for General-Purpose Audio Representations

Paper • 2309.05767 • Published Sep 11, 2023 • 9
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT)

Paper • 2309.08968 • Published Sep 16, 2023 • 23

coding with llms

Chain-of-Verification Reduces Hallucination in Large Language Models

Paper • 2309.11495 • Published Sep 20, 2023 • 39
CodePlan: Repository-level Coding using LLMs and Planning

Paper • 2309.12499 • Published Sep 21, 2023 • 78
SCREWS: A Modular Framework for Reasoning with Revisions

Paper • 2309.13075 • Published Sep 20, 2023 • 17
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Paper • 2309.08532 • Published Sep 15, 2023 • 53

Papers related to prompt engineering and optimizers

Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Paper • 2309.08532 • Published Sep 15, 2023 • 53
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77
Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Paper • 2308.09687 • Published Aug 18, 2023 • 7
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Paper • 2211.12588 • Published Nov 22, 2022 • 3

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