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Collections including paper arxiv:2404.02575

about 1 month ago

Creative Robot Tool Use with Large Language Models

Paper • 2310.13065 • Published Oct 19, 2023 • 8
CodeCoT and Beyond: Learning to Program and Test like a Developer

Paper • 2308.08784 • Published Aug 17, 2023 • 5
Lemur: Harmonizing Natural Language and Code for Language Agents

Paper • 2310.06830 • Published Oct 10, 2023 • 30
CodePlan: Repository-level Coding using LLMs and Planning

Paper • 2309.12499 • Published Sep 21, 2023 • 73

Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots

Paper • 2405.07990 • Published May 13 • 16
Large Language Models as Planning Domain Generators

Paper • 2405.06650 • Published Apr 2 • 9
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation

Paper • 2404.12753 • Published Apr 19 • 41
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Paper • 2404.07972 • Published Apr 11 • 43

LM Prompt Engineering

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 8
Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Paper • 2305.10601 • Published May 17, 2023 • 10
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3 • 47
Voyager: An Open-Ended Embodied Agent with Large Language Models

Paper • 2305.16291 • Published May 25, 2023 • 9

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3 • 47
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18 • 53
SnapKV: LLM Knows What You are Looking for Before Generation

Paper • 2404.14469 • Published Apr 22 • 23
FlowMind: Automatic Workflow Generation with LLMs

Paper • 2404.13050 • Published Mar 17 • 32

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3 • 47

Papers - Yonsei University

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3 • 47

Papers - Prompts - Detailed Examples

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3 • 47
The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6 • 53

Papers - Coding - Think and Exectue - 7B vs 13B vs GPT

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3 • 47

Papers - Coding - Program of Thoughts (PoT)

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3 • 47

Papers - Coding - Think and Execute vs CoT and PoTs

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3 • 47

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