LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers | Paper Citation Record

Observation 6f4b6f22-ad64-4f38-9d4b-2976c579d8f4 · outbound

This paper cites TimeSeriesExam: A time series understanding exam.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers TimeSeriesExam: A time series understanding exam

Reference 1

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Observation 81d4a44f-d870-43cf-8f8f-2b8a235892fb · outbound

This paper cites Large language models can be zero-shot anomaly detectors for time series?.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Large language models can be zero-shot anomaly detectors for time series?

Reference 2

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers International Conference on Machine Learning , year=

Reference 3

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Unresolved cited work

Reference 4

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers arXiv preprint arXiv:2509.04439 , year=

Reference 5

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers arXiv preprint arXiv:2506.17587 , year=

Reference 6

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Observation 961cd388-b33e-4221-98ec-c7dcc643d703 · outbound

This paper cites InternLM2 Technical Report.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers InternLM2 Technical Report

Reference 7

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Observation 97aedda2-caea-46f9-a404-8fc1953db842 · outbound

This paper cites Sundial: A Family of Highly Capable Time Series Foundation Models.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Sundial: A Family of Highly Capable Time Series Foundation Models

Reference 8

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Observation 71fa850d-e571-44d8-8ff6-dc9db7e21895 · outbound

This paper cites TimesBERT: A BERT-Style Foundation Model for Time Series Understanding.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers TimesBERT: A BERT-Style Foundation Model for Time Series Understanding

Reference 9

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This paper cites GPT-4 Technical Report.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers GPT-4 Technical Report

Reference 10

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Observation af1fc3be-79aa-4d08-8b52-46bad20e6f98 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 11

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Observation 0648b390-113e-4f87-9c7a-13a4e9e9d8f4 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Advances in Neural Information Processing Systems , volume=

Reference 12

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Observation c77ffca8-0fe9-4228-a9eb-227ad3a5a124 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 13

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Observation b9d67c0b-9db7-4710-8ffa-2191b40ea00e · outbound

This paper cites Proceedings of the 31st ACM International Conference on Multimedia , pages=.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Proceedings of the 31st ACM International Conference on Multimedia , pages=

Reference 14

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Observation e7dcf239-d3bf-495c-bfd4-ac7c48e52908 · outbound

This paper cites Stop When Reasoning Converges: Semantic-Preserving Early Exit for Reasoning Models.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Stop When Reasoning Converges: Semantic-Preserving Early Exit for Reasoning Models

Reference 15

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Observation 56cf9930-ef3d-4565-b0f8-0e8a08600e73 · outbound

This paper cites CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era

Reference 16

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Observation ecc0608a-7ee5-49ba-892b-7c60058f7c88 · outbound

This paper cites Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe

Reference 17

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers 2025 , howpublished =

Reference 18

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Observation 50632e31-cb6d-4d6d-a2fe-e86526926ec3 · outbound

This paper cites GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs

Reference 19

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Observation 23863807-3bfa-4d7e-9552-8a16fdb77875 · outbound

This paper cites Self-Distilled RLVR.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Self-Distilled RLVR

Reference 20

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Observation 86a17000-37f0-4db5-84bc-8682feb37788 · outbound

This paper cites TimeOmni-VL: Unified Models for Time Series Understanding and Generation.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers TimeOmni-VL: Unified Models for Time Series Understanding and Generation

Reference 21

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Observation 96ae199e-74c9-4d7a-b940-7a37402b94d9 · outbound

This paper cites Self-Distillation Enables Continual Learning.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Self-Distillation Enables Continual Learning

Reference 22

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Observation c480fef4-a7a2-4659-b17f-8ca517ea724a · outbound

This paper cites Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples

Reference 23

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Observation bdec523a-0b58-45bf-940d-85c14827a712 · outbound

This paper cites Advances in neural information processing systems , volume=.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Advances in neural information processing systems , volume=

Reference 24

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Observation b617c8be-bed4-4e09-86b2-0ad4a5fb7780 · outbound

This paper cites Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Reference 25

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Advances in Neural Information Processing Systems , volume=

Reference 26

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This paper cites Advances in neural information processing systems , volume=.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Advances in neural information processing systems , volume=

Reference 27

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Observation 38576c61-7b7c-4993-b50d-22bd90182515 · outbound

This paper cites Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark

Reference 28

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This paper cites Reasoning with Language Model is Planning with World Model.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Reasoning with Language Model is Planning with World Model

Reference 29

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Observation 59fab8be-621a-44aa-a952-24cd58915c22 · outbound

This paper cites LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting

Reference 30

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Advances in Neural Information Processing Systems , volume=

Reference 31

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Deep Generative Models for Health Workshop NeurIPS 2023 , year=

Reference 32

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers D-Bot: Database Diagnosis System using Large Language Models

Reference 33

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Proceedings of the 33rd ACM International Conference on Information and Knowledge Management , pages=

Reference 34

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Reference 35

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Neurocomputing , volume=

Reference 36

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering , pages=

Reference 37

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This paper cites Language Models Still Struggle to Zero-shot Reason about Time Series.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Language Models Still Struggle to Zero-shot Reason about Time Series

Reference 38

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Proceedings of the International Conference on Internet-of-Things Design and Implementation , pages=

Reference 39

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Qwen2.5-VL Technical Report

Reference 40

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Applied soft computing , volume=

Reference 41

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers MM-LLMs: Recent Advances in MultiModal Large Language Models

Reference 42

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers National Science Review , pages=

Reference 43

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Advances in neural information processing systems , volume=

Reference 44

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 45

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers 2015 , publisher=

Reference 46

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers International conference on machine learning , pages=

Reference 47

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding

Reference 48

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 49

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 50

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Observation fd64852d-4807-4191-84ca-07caf3fb181f · outbound

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers VideoChat: Chat-Centric Video Understanding

Reference 51

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 52

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers AudioPaLM: A Large Language Model That Can Speak and Listen

Reference 53

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Proceedings of the ACM on Web Conference 2024 , pages=

Reference 54

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers IEEE Transactions on Knowledge and Data Engineering , year=

Reference 55

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct

Reference 56

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 57

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Towards Time Series Reasoning with LLMs

Reference 58

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Position: What Can Large Language Models Tell Us about Time Series Analysis

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Reference 60

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers arXiv preprint arXiv:2412.03104 , year=

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Reference 63

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers gpt-oss-120b & gpt-oss-20b Model Card

Reference 66

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Reference 67

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Reference 68

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Reference 69

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Reference 70

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Qwen3-VL Technical Report

Reference 71

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Reference 72

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Semi-Supervised Classification with Graph Convolutional Networks

Reference 73

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers arXiv preprint arXiv:2601.19151 , year=

Reference 74

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Large Language Model Routing with Benchmark Datasets

Reference 75

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers arXiv preprint arXiv:2503.01013 , year=

Reference 76

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers arXiv preprint arXiv:2502.01477 , year=

Reference 77

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Adam: A Method for Stochastic Optimization

Reference 78

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers North American Chapter of the Association for Computational Linguistics , year=

Reference 79

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Cost-Effective Online Multi-LLM Selection with Versatile Reward Models

Reference 80

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Fast Graph Representation Learning with PyTorch Geometric

Reference 81

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers IEEE Signal Processing Letters , volume=

Reference 82

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia , pages=

Reference 83

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Reference 84

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Advances in Neural Information Processing Systems , volume=

Reference 85

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Joint conference of the information retrieval communities in europe (circle 2020) , volume=

Reference 86

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Text2TimeSeries: Enhancing Financial Forecasting through Time Series Prediction Updates with Event-Driven Insights from Large Language Models

Reference 87

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers International Journal of Machine Learning and Cybernetics , pages=

Reference 88

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers LLMLight: Large Language Models as Traffic Signal Control Agents

Reference 89

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Advances in Neural Information Processing Systems , volume=

Reference 90

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers ReAct: Synergizing Reasoning and Acting in Language Models

Reference 91

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 92

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers

Reference 93

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review

Reference 94

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters

Reference 95

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 96

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers arXiv preprint arXiv:2503.16858 , year=

Reference 97

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection

Reference 98

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 99

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LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

Reference 100

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Reference 101

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