Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications | Paper Citation Record

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This paper cites Do Large Language Models Know What They Don't Know?.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Do Large Language Models Know What They Don't Know?

Reference 1

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Observation 806a859a-dfd2-4ebc-ad25-3f784416886b · outbound

This paper cites A Survey of Large Language Models.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications A Survey of Large Language Models

Reference 2

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This paper cites Evolutionary algorithms.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Evolutionary algorithms

Reference 3

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This paper cites A comprehensive survey on artificial electric field algorithm: theories and applications.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications A comprehensive survey on artificial electric field algorithm: theories and applications

Reference 4

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This paper cites Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms

Reference 5

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Observation 086bc0cd-1693-4e27-b5eb-2c1dae016eac · outbound

This paper cites Using llm for automatic evolvement of metaheuristics from swarm algorithm soma.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Using llm for automatic evolvement of metaheuristics from swarm algorithm soma

Reference 6

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This paper cites Evolutionary computation in the era of large language model: Survey and roadmap.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Evolutionary computation in the era of large language model: Survey and roadmap

Reference 7

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Observation 0b5cad6a-6a96-49d7-85dd-a9ea33c6c406 · outbound

This paper cites Evolutionary optimization of model merging recipes.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Evolutionary optimization of model merging recipes

Reference 8

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Observation 24c848f8-6a93-4f8c-9e53-b1b331243d2a · outbound

This paper cites Large language models as evolutionary optimizers.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Large language models as evolutionary optimizers

Reference 9

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Observation 57002682-87b1-4770-8bd3-31bbb899b940 · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Unleashing the potential of prompt engineering for large language models

Reference 10

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Observation 718487d1-e214-4ae9-8bad-8223050b2512 · outbound

This paper cites Connecting large language models with evolutionary algorithms yields powerful prompt optimizers, 2024.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Connecting large language models with evolutionary algorithms yields powerful prompt optimizers, 2024

Reference 11

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Observation 57b17ff4-b314-4e6f-b743-c4314ac2ccdc · outbound

This paper cites Llamea: A large language model evolutionary algorithm for automatically generating metaheuristics.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Llamea: A large language model evolutionary algorithm for automatically generating metaheuristics

Reference 12

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This paper cites A systematic survey on large language models for algorithm design.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications A systematic survey on large language models for algorithm design

Reference 13

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This paper cites an unresolved cited work.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Unresolved cited work

Reference 14

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Observation 04b061d9-0745-4403-ace9-fa20f18118ed · outbound

This paper cites Exploring the improvement of evolutionary computation via large language models.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Exploring the improvement of evolutionary computation via large language models

Reference 15

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Observation fc84326d-ed92-479a-bf6e-5f025daa4d59 · outbound

This paper cites When large language model meets optimization.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications When large language model meets optimization

Reference 16

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Observation bd360ec2-d9ab-40b6-bb66-a97b33402d18 · outbound

This paper cites Llmatic: neural architecture search via large language models and quality diversity optimization.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Llmatic: neural architecture search via large language models and quality diversity optimization

Reference 17

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Observation 58dc727b-54e2-4f38-b545-f70f5431d5e6 · outbound

This paper cites Llm-informed discrete prompt opti- mization.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Llm-informed discrete prompt opti- mization

Reference 18

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Observation 24af782a-549e-4e43-8e30-9d8ada7ed8e1 · outbound

This paper cites Model-driven prompt engineering.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Model-driven prompt engineering

Reference 19

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Observation f022fdee-9d13-466c-b0c4-f8b1d8a09475 · outbound

This paper cites Prompt Engineering a Prompt Engineer.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Prompt Engineering a Prompt Engineer

Reference 20

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This paper cites More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering

Reference 21

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Observation d40ebdd4-1a0b-46d3-8ed2-054d16d74353 · outbound

This paper cites Active Prompting with Chain-of-Thought for Large Language Models.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Active Prompting with Chain-of-Thought for Large Language Models

Reference 22

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Observation 1255081b-5106-476c-b132-ca60993f91d6 · outbound

This paper cites Msprompt: Multi-step prompt learning for debiasing few-shot event detection.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Msprompt: Multi-step prompt learning for debiasing few-shot event detection

Reference 23

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This paper cites PROMPT course manual.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications PROMPT course manual

Reference 24

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This paper cites Prompting ai art: An investigation into the creative skill of prompt engineering.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Prompting ai art: An investigation into the creative skill of prompt engineering

Reference 25

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This paper cites Evolutionary algorithms and their applications to engineering problems.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Evolutionary algorithms and their applications to engineering problems

Reference 26

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Observation f3e69ead-8d40-4e8b-87a6-eef09532c9b9 · outbound

This paper cites Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery

Reference 27

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This paper cites Learning How to Ask: Querying LMs with Mixtures of Soft Prompts.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Learning How to Ask: Querying LMs with Mixtures of Soft Prompts

Reference 28

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This paper cites GPS: Genetic Prompt Search for Efficient Few-shot Learning.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications GPS: Genetic Prompt Search for Efficient Few-shot Learning

Reference 29

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This paper cites GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 30

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Observation f351f4f2-3a13-40cd-bef3-cb21ee16c2b8 · outbound

This paper cites Automatic Engineering of Long Prompts.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Automatic Engineering of Long Prompts

Reference 31

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This paper cites EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Reference 32

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This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

Reference 33

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Observation 5e3ff344-50fa-4019-999d-c09517046279 · outbound

This paper cites Evoprompting: Language models for code-level neural architecture search.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Evoprompting: Language models for code-level neural architecture search

Reference 34

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This paper cites SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization

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Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling

Reference 36

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This paper cites Evolutionary multi-objective optimization of large language model prompts for balancing sentiments.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Evolutionary multi-objective optimization of large language model prompts for balancing sentiments

Reference 37

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Observation 3943eb3b-19a8-4960-8e7c-1dc35e61840b · outbound

This paper cites Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models

Reference 38

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Observation 11f33da4-cb56-4fea-b431-89abcea22926 · outbound

This paper cites Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model

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Observation d3d1500e-5644-419e-b5f5-4e1daaf15e8f · outbound

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Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Prompt-aligned gradient for prompt tuning

Reference 40

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Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications TEMPERA: Test-Time Prompting via Reinforcement Learning

Reference 41

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This paper cites A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models

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This paper cites Phaseevo: Towards unified in-context prompt optimization for large language models, 2024.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Phaseevo: Towards unified in-context prompt optimization for large language models, 2024

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Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Gaapo: Genetic algorithmic ap- plied to prompt optimization, 2025

Reference 44

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Observation 76d14de1-75a7-4f8d-8b85-22def5eb3e66 · outbound

This paper cites Autohint: Automatic prompt optimization with hint generation, 2023.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Autohint: Automatic prompt optimization with hint generation, 2023

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This paper cites Autotinybert: Automatic hyper- parameter optimization for efficient pre-trained language models, 2021.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Autotinybert: Automatic hyper- parameter optimization for efficient pre-trained language models, 2021

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This paper cites An investigation on the use of large language models for hyperparameter tuning in evolutionary algorithms.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications An investigation on the use of large language models for hyperparameter tuning in evolutionary algorithms

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Observation 8ba6b38b-1a4d-4da5-b242-4877dc7b8179 · outbound

This paper cites Evolutionary algorithms for hyperparameter optimization in machine learning for application in high energy physics.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Evolutionary algorithms for hyperparameter optimization in machine learning for application in high energy physics

Reference 48

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This paper cites A survey on intel- ligent network operations and performance optimization based on large language models.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications A survey on intel- ligent network operations and performance optimization based on large language models

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Observation 9da84c98-a2f3-4bd1-8ef3-d74bd44a374a · outbound

This paper cites Autobert- zero: Evolving bert backbone from scratch.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Autobert- zero: Evolving bert backbone from scratch

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Observation 385cc668-0623-4981-a109-04e949018a3c · outbound

This paper cites SuperShaper: Task-Agnostic Super Pre-training of BERT Models with Variable Hidden Dimensions.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications SuperShaper: Task-Agnostic Super Pre-training of BERT Models with Variable Hidden Dimensions

Reference 51

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This paper cites de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz L.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz L

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Observation fc5964c2-edff-41b5-80ab-3c71c59822f7 · outbound

This paper cites Resource-constrained neural archi- tecture search on language models: A case study.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Resource-constrained neural archi- tecture search on language models: A case study

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Observation 426a0527-1f33-4a3d-a7e0-4e2a4485e572 · outbound

This paper cites Structural Pruning of Pre-trained Language Models via Neural Architecture Search.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Structural Pruning of Pre-trained Language Models via Neural Architecture Search

Reference 54

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This paper cites Jack and masters of all trades: one-pass learning sets of model sets from large pre-trained models.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Jack and masters of all trades: one-pass learning sets of model sets from large pre-trained models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.539003Z

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Observation aac6f93e-4459-4da3-b0f3-a56517cdcf2b · outbound

This paper cites GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model

Reference 56

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Observation 17dd59a0-86e2-4f87-ad56-a817d703b818 · outbound

This paper cites Llm guided evolution-the automation of models advancing models.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Llm guided evolution-the automation of models advancing models

Reference 57

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Observation dc75e7c4-f55e-42aa-b4f2-f0e8bc08fe95 · outbound

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Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications A review on the long short-term memory model

Reference 58

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Observation 58cbbf79-1939-42e8-b3b1-dec6472fc4e0 · outbound

This paper cites Attention is all you need.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Attention is all you need

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.474229Z

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Observation 533fa950-8841-4566-8cda-adbae5427a6c · outbound

This paper cites Investigating the potential of ai-driven innovations for enhancing differential evolution in optimization tasks.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Investigating the potential of ai-driven innovations for enhancing differential evolution in optimization tasks

Reference 60

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Observation 40762d8e-0bc3-40ed-ad4b-901462ae13b8 · outbound

This paper cites Differential evolution: a practical approach to global optimization.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Differential evolution: a practical approach to global optimization

Reference 61

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Observation 4327dfce-fb23-4805-a6d0-d294f3567986 · outbound

This paper cites Leveraging large lan- guage models for the generation of novel metaheuristic optimization algorithms.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Leveraging large lan- guage models for the generation of novel metaheuristic optimization algorithms

Reference 62

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Observation c5eb00f3-022f-4433-84ff-c2f3f9887532 · outbound

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Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Soma—self-organizing migrating algorithm

Reference 63

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Observation 7ef861af-eda0-4295-832b-7bbeed6e7595 · outbound

This paper cites Soma—self-organizing migrating algorithm.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Soma—self-organizing migrating algorithm

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.361023Z

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Observation c40a81e4-db16-42fa-9e4a-9fff55e5c9b4 · outbound

This paper cites Mathematical discoveries from program search with large language models.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Mathematical discoveries from program search with large language models

Reference 65

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Observation 57151d9b-2fc5-4b3a-86b2-31974882d7aa · outbound

This paper cites FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:10.937346Z

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Observation 467514b3-0604-4609-b88b-699df4144d48 · outbound

This paper cites Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

Reference 67

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Observation eb6754fb-4908-46b9-87c2-bf2822c0ef7c · outbound

This paper cites Multi-objective Evolution of Heuristic Using Large Language Model.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Multi-objective Evolution of Heuristic Using Large Language Model

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:14:16.108083Z

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Observation 6ee1e6fb-d4a6-4db5-9b22-d4ea7037ae4f · outbound

This paper cites ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

Reference 69

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Observation d61c22f8-5826-474b-bbf7-85f19d946f9f · outbound

This paper cites IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:11.263096Z

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Observation 6aa96ec8-1d79-4595-99d0-5b375b46b4a6 · outbound

This paper cites Iohexperimenter: Benchmarking platform for iterative optimization heuristics.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Iohexperimenter: Benchmarking platform for iterative optimization heuristics

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.323544Z

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Observation 7381ca00-fedc-4b3a-9dcb-5e8ae06024ca · outbound

This paper cites Iohanalyzer: Detailed performance analyses for iterative optimization heuristics.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Iohanalyzer: Detailed performance analyses for iterative optimization heuristics

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.298013Z

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Observation 609d1a53-4842-4b8f-a103-73264273fa11 · outbound

This paper cites Large language models as surrogate models in evolutionary algo- rithms: A preliminary study.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Large language models as surrogate models in evolutionary algo- rithms: A preliminary study

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.273126Z

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Observation 3369fd2e-16dd-4743-a8be-dce72f9f1a42 · outbound

This paper cites Model uncertainty in evolutionary optimization and bayesian op- timization: A comparative analysis.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Model uncertainty in evolutionary optimization and bayesian op- timization: A comparative analysis

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.251380Z

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Observation 822a77fd-6edc-4fbf-baa9-eb50a757071e · outbound

This paper cites Large Language Models to Enhance Bayesian Optimization.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Large Language Models to Enhance Bayesian Optimization

Reference 75

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Observation b2bd2ab2-b885-4325-a5a5-825af9a4bb37 · outbound

This paper cites Large language models as tuning agents of metaheuris- tics.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Large language models as tuning agents of metaheuris- tics

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.231581Z

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Observation ae6b447c-4a66-4191-bcaf-8acd5e033ccd · outbound

This paper cites Metaheuristics and large language models join forces: Towards an integrated optimization approach.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Metaheuristics and large language models join forces: Towards an integrated optimization approach

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.213897Z

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Observation 11d28183-f1c9-49fe-a478-6724b84a75af · outbound

This paper cites FastCover: An Unsupervised Learning Framework for Multi-Hop Influence Maximization in Social Networks.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications FastCover: An Unsupervised Learning Framework for Multi-Hop Influence Maximization in Social Networks

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:14:15.910148Z

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Observation 74e8e1df-9a68-4a60-8a0c-c5630053a69f · outbound

This paper cites Finding influential nodes in social networks using minimum k- hop dominating set.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Finding influential nodes in social networks using minimum k- hop dominating set

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.193418Z

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Observation 686d542a-906b-4b3b-972c-01e0595eca46 · outbound

This paper cites Leveraging large language model to generate a novel meta- heuristic algorithm with crispe framework.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Leveraging large language model to generate a novel meta- heuristic algorithm with crispe framework

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.174445Z

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Observation ea7250aa-3540-484c-9545-79991697b1c1 · outbound

This paper cites Language models are few-shot learners.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Language models are few-shot learners

Reference 81

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Observation 6eb89961-b8da-4127-ab60-093674e258d7 · outbound

This paper cites Multitask genetic programming- based generative hyperheuristics: A case study in dynamic scheduling.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Multitask genetic programming- based generative hyperheuristics: A case study in dynamic scheduling

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.142361Z

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Observation 64b8fa02-c11f-444e-922c-dac83a238400 · outbound

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Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Unresolved cited work

Reference 83

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Observation b20aecf2-db56-44bb-8b23-a55de2196e04 · outbound

This paper cites Lemabe: a novel framework to improve analogy-based software cost estimation using learnable evolution model.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Lemabe: a novel framework to improve analogy-based software cost estimation using learnable evolution model

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.109630Z

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Observation d08eeae4-c531-4a4a-b32b-5a387878bd6a · outbound

This paper cites Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey

Reference 85

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Observation 9dc26e6d-87cf-4fb8-b658-a91ff7974ebf · outbound

This paper cites Mixing LLM and genetic algorithms: New trends and research projects.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Mixing LLM and genetic algorithms: New trends and research projects

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.088695Z

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Observation a5c4e508-6842-42cb-a014-b238dc7144cc · outbound

This paper cites Exploring the prompt space of large language models through evolutionary sampling.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Exploring the prompt space of large language models through evolutionary sampling

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.069697Z

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Observation 2ab700eb-6b92-4bf6-a83e-83d81a6a89df · outbound

This paper cites AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms with Diverse Structures.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms with Diverse Structures

Reference 88

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Observation fe09f8fa-51c3-4eff-abe1-83e52f763847 · outbound

This paper cites The crowdless future? generative ai and creative problem-solving.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications The crowdless future? generative ai and creative problem-solving

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.052564Z

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Observation 4e5b92ac-b236-46ac-ab07-97a695f9d2d8 · outbound

This paper cites Explainable artificial in- telligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Explainable artificial in- telligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.020695Z

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Observation b6c68306-d533-44de-8ea5-85a81da9e964 · outbound

This paper cites Enhancing Explainability and Reliable Decision-Making in Particle Swarm Optimization through Communication Topologies.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Enhancing Explainability and Reliable Decision-Making in Particle Swarm Optimization through Communication Topologies

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:14:15.443003Z

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Observation e8d7da29-9a82-4d42-892c-635f7f8ebe68 · outbound

This paper cites Robust and Adaptive Optimization under a Large Language Model Lens.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Robust and Adaptive Optimization under a Large Language Model Lens

Reference 92

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Observation 40a466bb-3c78-41a5-a5ab-2af5c4c2661f · outbound

This paper cites Nl4opt competition: Formulating optimiza- tion problems based on their natural language descriptions.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Nl4opt competition: Formulating optimiza- tion problems based on their natural language descriptions

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:17.002914Z

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Observation ffd219c7-5081-4c05-b73d-f61a87706442 · outbound

This paper cites What are large language models (llms)? https://azure.microsoft.com/en-us/ resources/cloud-computing-dictionary/what-are-large-language-models-llms , 2025.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications What are large language models (llms)? https://azure.microsoft.com/en-us/ resources/cloud-computing-dictionary/what-are-large-language-models-llms , 2025

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:16.983907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ebbe6330-2743-427d-be67-8688a709dd23 · outbound

This paper cites Evolving code with a large language model.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Evolving code with a large language model

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:13.703017Z

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Observation dd00603a-c9e9-4ab8-8912-39588eeabdeb · outbound

This paper cites Algorithmic information theory.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Algorithmic information theory

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:16.953709Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1af75c23-1f62-47a1-81b5-ede21ef0b738 · outbound

This paper cites Llm4ad: A platform for algorithm design with large language model.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Llm4ad: A platform for algorithm design with large language model

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:14.052474Z

Source-reported events for the cited work

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Observation 205aa449-2171-4725-a0db-112f22df9a2c · outbound

This paper cites Blade: Benchmarking language model agents for data-driven science.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Blade: Benchmarking language model agents for data-driven science

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:14.188379Z

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Observation cc18fda7-15b5-4767-9cd8-a609a8d3d5c4 · outbound

This paper cites Beyond the hype: Benchmarking llm-evolved heuristics for bin packing.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Beyond the hype: Benchmarking llm-evolved heuristics for bin packing

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:16.934834Z

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Observation e4e60932-b084-4816-bc46-3e4d24132aa4 · outbound

This paper cites Searching for benchmark problem instances from data-driven optimisation.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Searching for benchmark problem instances from data-driven optimisation

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:16.916357Z

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