Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets | Paper Citation Record

Observation 193d6cae-315e-46cc-97f2-7baef7ae9de8 · outbound

This paper cites Large language models as optimizers,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Large language models as optimizers,

Reference 1

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This paper cites ReEvo: Large language models as hyper-heuristics with reflective evolution,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets ReEvo: Large language models as hyper-heuristics with reflective evolution,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:23:33.061792Z

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This paper cites Symbolic regression with a learned concept library,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Symbolic regression with a learned concept library,

Reference 3

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This paper cites Synthesizing programmatic reinforcement learning policies with large language model guided search,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Synthesizing programmatic reinforcement learning policies with large language model guided search,

Reference 4

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

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Mathematical discoveries from program search with large language models,

Reference 5

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This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 6

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This paper cites Language modeling by language models,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Language modeling by language models,

Reference 7

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This paper cites BoTorch: A framework for efficient monte-carlo bayesian optimization,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets BoTorch: A framework for efficient monte-carlo bayesian optimization,

Reference 8

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Observation 1d6aa0a1-f80a-4721-9a04-d0ed30e63ec7 · outbound

This paper cites Scalable global optimization via local Bayesian optimization,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Scalable global optimization via local Bayesian optimization,

Reference 9

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This paper cites Conditioning by adaptive sampling for robust design,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Conditioning by adaptive sampling for robust design,

Reference 10

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This paper cites Conservative objective models for effective offline model-based optimization,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Conservative objective models for effective offline model-based optimization,

Reference 11

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This paper cites Generative adversarial model-based optimization via source critic regularization,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Generative adversarial model-based optimization via source critic regularization,

Reference 12

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This paper cites Fast charging of Li-ion batteries via learning and optimization,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Fast charging of Li-ion batteries via learning and optimization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:23:32.964655Z

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This paper cites DESiRED: Dynamic, enhanced, and smart iRED: A P4-AQM with deep reinforcement learning and in-band network telemetry,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets DESiRED: Dynamic, enhanced, and smart iRED: A P4-AQM with deep reinforcement learning and in-band network telemetry,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:23:32.956353Z

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This paper cites Inverse-designed low-crosstalk CWDM (de)multiplexer assisted by photonic crystals,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Inverse-designed low-crosstalk CWDM (de)multiplexer assisted by photonic crystals,

Reference 15

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This paper cites A hierarchical multi-parametric programming approach for dynamic risk-based model predictive quality control,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets A hierarchical multi-parametric programming approach for dynamic risk-based model predictive quality control,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:23:32.938506Z

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This paper cites Inventory management and delivery of perishable products with stochastic demands and risks consideration,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Inventory management and delivery of perishable products with stochastic demands and risks consideration,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:23:32.929234Z

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Observation b5ae824b-e3c1-4409-919a-435f0b844000 · outbound

This paper cites Data-driven prediction of battery cycle life before capacity degradation,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Data-driven prediction of battery cycle life before capacity degradation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:23:32.919954Z

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This paper cites Closed-loop optimization of fast-charging protocols for batteries with machine learning,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Closed-loop optimization of fast-charging protocols for batteries with machine learning,

Reference 19

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This paper cites Scalable tail latency estimation for data center networks,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Scalable tail latency estimation for data center networks,

Reference 20

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This paper cites Automated optimization of photonic crystal slab cavities,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Automated optimization of photonic crystal slab cavities,

Reference 21

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This paper cites Gaussian elimination is not optimal,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Gaussian elimination is not optimal,

Reference 22

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This paper cites Network simulations with the ns-3 simulator,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Network simulations with the ns-3 simulator,

Reference 23

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This paper cites Practical bayesian optimization of machine learning algorithms,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Practical bayesian optimization of machine learning algorithms,

Reference 24

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This paper cites Local fitness landscape of the green fluorescent protein,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Local fitness landscape of the green fluorescent protein,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:23:32.864285Z

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Observation fe38ae61-ee58-48a9-85e6-9d64d22f0591 · outbound

This paper cites Evolutionary model type selection for global surrogate modeling,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Evolutionary model type selection for global surrogate modeling,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:23:32.855162Z

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Observation 9dc0b258-e35b-4ac8-bbad-b16e3bda33e7 · outbound

This paper cites Large language models as surrogate models in evolutionary algorithms: A preliminary study,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Large language models as surrogate models in evolutionary algorithms: A preliminary study,

Reference 27

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This paper cites Random early detection gateways for congestion avoidance,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Random early detection gateways for congestion avoidance,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:23:32.841258Z

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This paper cites Agri-food supply chains with stochastic demands: A multi-period inventory routing problem with perishable products,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Agri-food supply chains with stochastic demands: A multi-period inventory routing problem with perishable products,

Reference 29

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This paper cites Evolution of heuristics: Towards efficient automatic algorithm design using large language model,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Evolution of heuristics: Towards efficient automatic algorithm design using large language model,

Reference 30

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This paper cites Monte carlo tree search for comprehensive exploration in LLM-based automatic heuristic design,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Monte carlo tree search for comprehensive exploration in LLM-based automatic heuristic design,

Reference 31

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This paper cites Multi-fidelity Bayesian optimisation with continuous approximations,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Multi-fidelity Bayesian optimisation with continuous approximations,

Reference 32

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This paper cites Surrogate model assisted cooperative coevolution for large scale opti- mization,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Surrogate model assisted cooperative coevolution for large scale opti- mization,

Reference 33

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This paper cites EZNAS: Evolving zero-cost proxies for neural architecture scoring,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets EZNAS: Evolving zero-cost proxies for neural architecture scoring,

Reference 34

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This paper cites Revolutionizing training-free NAS: Towards efficient automatic proxy discovery via large language models,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Revolutionizing training-free NAS: Towards efficient automatic proxy discovery via large language models,

Reference 35

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This paper cites Co- evolution of large language models and configuration strategies to enhance surrogate-assisted evolutionary algorithm,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Co- evolution of large language models and configuration strategies to enhance surrogate-assisted evolutionary algorithm,

Reference 36

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This paper cites Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization

Reference 37

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This paper cites Eureka: Human-level reward design via coding large language models,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Eureka: Human-level reward design via coding large language models,

Reference 38

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This paper cites LaRes: Evolutionary reinforcement learning with LLM-based adaptive reward search,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets LaRes: Evolutionary reinforcement learning with LLM-based adaptive reward search,

Reference 39

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This paper cites Beyond Static Evaluation: Co-Evolutionary Mechanisms for LLM-Driven Strategy Evolution in Adversarial Games.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Beyond Static Evaluation: Co-Evolutionary Mechanisms for LLM-Driven Strategy Evolution in Adversarial Games

Reference 40

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This paper cites Game-theoretic co-evolution for LLM-based heuristic discovery,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Game-theoretic co-evolution for LLM-based heuristic discovery,

Reference 41

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Observation 2e12faa9-2bbe-4da1-8ba6-339bcaf7adda · outbound

This paper cites Self-Evolving Deep Research via Joint Generation and Evaluation.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Self-Evolving Deep Research via Joint Generation and Evaluation

Reference 42

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Observation 736300ee-036c-4c8b-a4b8-badc609630c7 · outbound

This paper cites Python Battery Mathematical Modelling (PyBaMM),.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Python Battery Mathematical Modelling (PyBaMM),

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:23:32.743464Z

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This paper cites Machine learning approaches for active queue management: A survey, taxonomy, and future directions,.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets Machine learning approaches for active queue management: A survey, taxonomy, and future directions,

Reference 44

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Observation 2aa01573-4865-4e9a-a0e3-986639770701 · outbound

This paper cites 10 358–10 368.

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets 10 358–10 368

Reference 139

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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