Cover Image

A Unified Approach to Routing and Cascading for LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dekoninck, Jasper, Baader, Maximilian, Vechev, Martin
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation
by: Dekoninck, Jasper, et al.
Published: (2024)

Adaptive Generation of Bias-Eliciting Questions for LLMs
by: Staab, Robin, et al.
Published: (2025)

BrokenMath: A Benchmark for Sycophancy in Theorem Proving with LLMs
by: Petrov, Ivo, et al.
Published: (2025)

Evading Data Contamination Detection for Language Models is (too) Easy
by: Dekoninck, Jasper, et al.
Published: (2024)

Learning from Saturated Data: Signals Beyond Correctness for LLM Training
by: Hiss, Hanno, et al.
Published: (2026)

Constrained Decoding of Diffusion LLMs with Context-Free Grammars
by: Mündler, Niels, et al.
Published: (2025)

ConStat: Performance-Based Contamination Detection in Large Language Models
by: Dekoninck, Jasper, et al.
Published: (2024)

MathArena: Evaluating LLMs on Uncontaminated Math Competitions
by: Balunović, Mislav, et al.
Published: (2025)

Controlled Text Generation via Language Model Arithmetic
by: Dekoninck, Jasper, et al.
Published: (2023)

Not All Proofs Are Equal: Evaluating LLM Proof Quality Beyond Correctness
by: Petrov, Ivo, et al.
Published: (2026)

Beyond Benchmarks: MathArena as an Evaluation Platform for Mathematics with LLMs
by: Dekoninck, Jasper, et al.
Published: (2026)

Proof or Bluff? Evaluating LLMs on 2025 USA Math Olympiad
by: Petrov, Ivo, et al.
Published: (2025)

AutoBaxBuilder: Bootstrapping Code Security Benchmarking
by: von Arx, Tobias, et al.
Published: (2025)

BaxBench: Can LLMs Generate Correct and Secure Backends?
by: Vero, Mark, et al.
Published: (2025)

Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
by: Beurer-Kellner, Luca, et al.
Published: (2024)

SPEAR++: Scaling Gradient Inversion via Sparsely-Used Dictionary Learning
by: Bakarsky, Alexander, et al.
Published: (2025)

SPEAR:Exact Gradient Inversion of Batches in Federated Learning
by: Dimitrov, Dimitar I., et al.
Published: (2024)

The Open Proof Corpus: A Large-Scale Study of LLM-Generated Mathematical Proofs
by: Dekoninck, Jasper, et al.
Published: (2025)

GRAIN: Exact Graph Reconstruction from Gradients
by: Drencheva, Maria, et al.
Published: (2025)

Ward: Provable RAG Dataset Inference via LLM Watermarks
by: Jovanović, Nikola, et al.
Published: (2024)

ToolFuzz -- Automated Agent Tool Testing
by: Milev, Ivan, et al.
Published: (2025)

Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets
by: Yukhymenko, Hanna, et al.
Published: (2026)

BgGPT 1.0: Extending English-centric LLMs to other languages
by: Alexandrov, Anton, et al.
Published: (2024)

MathConstruct: Challenging LLM Reasoning with Constructive Proofs
by: Balunović, Mislav, et al.
Published: (2025)

UCCI: Calibrated Uncertainty for Cost-Optimal LLM Cascade Routing
by: Kotte, Varun
Published: (2026)

A Synthetic Dataset for Personal Attribute Inference
by: Yukhymenko, Hanna, et al.
Published: (2024)

DAGER: Exact Gradient Inversion for Large Language Models
by: Petrov, Ivo, et al.
Published: (2024)

Dynamic Model Routing and Cascading for Efficient LLM Inference: A Survey
by: Moslem, Yasmin, et al.
Published: (2026)

Dr.LLM: Dynamic Layer Routing in LLMs
by: Heakl, Ahmed, et al.
Published: (2025)

Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
by: Mündler, Niels, et al.
Published: (2023)

Route Before Retrieve: Activating Latent Routing Abilities of LLMs for RAG vs. Long-Context Selection
by: Chen, Yiwen, et al.
Published: (2026)

RouteLLM: Learning to Route LLMs with Preference Data
by: Ong, Isaac, et al.
Published: (2024)

KiC: Keyword-inspired Cascade for Cost-Efficient Text Generation with LLMs
by: Kim, Woo-Chan, et al.
Published: (2025)

Ada-K Routing: Boosting the Efficiency of MoE-based LLMs
by: Yue, Tongtian, et al.
Published: (2024)

ACIArena: Toward Unified Evaluation for Agent Cascading Injection
by: An, Hengyu, et al.
Published: (2026)

Expected Reward Prediction, with Applications to Model Routing
by: Hasanaliyev, Kenan, et al.
Published: (2026)

Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling
by: Ding, Peng, et al.
Published: (2025)

Cascaded Self-Evaluation Augmented Training for Lightweight Multimodal LLMs
by: Lv, Zheqi, et al.
Published: (2025)

HalluClean: A Unified Framework to Combat Hallucinations in LLMs
by: Zhao, Yaxin, et al.
Published: (2025)

QED-Nano: Teaching a Tiny Model to Prove Hard Theorems
by: LM-Provers, et al.
Published: (2026)