Beyond GPT-5: Making LLMs Cheaper and Better via Performance-Efficiency Optimized Routing
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Yiqun, Li, Hao, Chen, Jianhao, Zhang, Hangfan, Ye, Peng, Bai, Lei, Hu, Shuyue |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Organizing, Orchestrating, and Benchmarking Agent Skills at Ecosystem Scale
by: Li, Hao, et al.
Published: (2026)
by: Li, Hao, et al.
Published: (2026)
Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model Heterogeneity
by: Zhang, Hangfan, et al.
Published: (2025)
by: Zhang, Hangfan, et al.
Published: (2025)
The Path of Self-Evolving Large Language Models: Achieving Data-Efficient Learning via Intrinsic Feedback
by: Zhang, Hangfan, et al.
Published: (2025)
by: Zhang, Hangfan, et al.
Published: (2025)
MTRouter: Cost-Aware Multi-Turn LLM Routing with History-Model Joint Embeddings
by: Zhang, Yiqun, et al.
Published: (2026)
by: Zhang, Yiqun, et al.
Published: (2026)
Nature-Inspired Population-Based Evolution of Large Language Models
by: Zhang, Yiqun, et al.
Published: (2025)
by: Zhang, Yiqun, et al.
Published: (2025)
ICL-Router: In-Context Learned Model Representations for LLM Routing
by: Wang, Chenxu, et al.
Published: (2025)
by: Wang, Chenxu, et al.
Published: (2025)
Beyond Gemini-3-Pro: Revisiting LLM Routing and Aggregation at Scale
by: Tang, Shengji, et al.
Published: (2026)
by: Tang, Shengji, et al.
Published: (2026)
Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
by: Lu, Xiaoding, et al.
Published: (2024)
by: Lu, Xiaoding, et al.
Published: (2024)
Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters
by: Wang, Danqing, et al.
Published: (2025)
by: Wang, Danqing, et al.
Published: (2025)
Self-Correction Makes LLMs Better Parsers
by: Zhang, Ziyan, et al.
Published: (2025)
by: Zhang, Ziyan, et al.
Published: (2025)
Making Large Language Models Perform Better in Knowledge Graph Completion
by: Zhang, Yichi, et al.
Published: (2023)
by: Zhang, Yichi, et al.
Published: (2023)
The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants
by: Zhang, Yiqun, et al.
Published: (2025)
by: Zhang, Yiqun, et al.
Published: (2025)
Faster and Better LLMs via Latency-Aware Test-Time Scaling
by: Wang, Zili, et al.
Published: (2025)
by: Wang, Zili, et al.
Published: (2025)
Cheaper, Better, Faster, Stronger: Robust Text-to-SQL without Chain-of-Thought or Fine-Tuning
by: Dönder, Yusuf Denizay, et al.
Published: (2025)
by: Dönder, Yusuf Denizay, et al.
Published: (2025)
Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems
by: Barker, Matthew, et al.
Published: (2025)
by: Barker, Matthew, et al.
Published: (2025)
Learning Compact Representations of LLM Abilities via Item Response Theory
by: Chen, Jianhao, et al.
Published: (2025)
by: Chen, Jianhao, et al.
Published: (2025)
Faster, Cheaper, More Accurate: Specialised Knowledge Tracing Models Outperform LLMs
by: Bhattacharyya, Prarthana, et al.
Published: (2026)
by: Bhattacharyya, Prarthana, et al.
Published: (2026)
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators
by: Lyu, Xinglin, et al.
Published: (2024)
by: Lyu, Xinglin, et al.
Published: (2024)
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
by: Zhang, Mohan, et al.
Published: (2025)
by: Zhang, Mohan, et al.
Published: (2025)
Dialogue is Better Than Monologue: Instructing Medical LLMs via Strategical Conversations
by: Liu, Zijie, et al.
Published: (2025)
by: Liu, Zijie, et al.
Published: (2025)
When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners
by: Zhao, Weixiang, et al.
Published: (2025)
by: Zhao, Weixiang, et al.
Published: (2025)
LLMRouterBench: A Massive Benchmark and Unified Framework for LLM Routing
by: Li, Hao, et al.
Published: (2026)
by: Li, Hao, et al.
Published: (2026)
Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization
by: Liu, Yuanye, et al.
Published: (2025)
by: Liu, Yuanye, et al.
Published: (2025)
NeuGPT: Unified multi-modal Neural GPT
by: Yang, Yiqian, et al.
Published: (2024)
by: Yang, Yiqian, et al.
Published: (2024)
Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs?
by: Zhang, Junyan, et al.
Published: (2025)
by: Zhang, Junyan, et al.
Published: (2025)
Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning
by: Du, Yexing, et al.
Published: (2024)
by: Du, Yexing, et al.
Published: (2024)
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm
by: Zhang, Yabin, et al.
Published: (2024)
by: Zhang, Yabin, et al.
Published: (2024)
Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts
by: Zhang, Xue, et al.
Published: (2025)
by: Zhang, Xue, et al.
Published: (2025)
Learning to Self-Verify Makes Language Models Better Reasoners
by: Chen, Yuxin, et al.
Published: (2026)
by: Chen, Yuxin, et al.
Published: (2026)
A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement
by: Tang, Shengji, et al.
Published: (2025)
by: Tang, Shengji, et al.
Published: (2025)
Supervised Knowledge Makes Large Language Models Better In-context Learners
by: Yang, Linyi, et al.
Published: (2023)
by: Yang, Linyi, et al.
Published: (2023)
Hint Tuning: Less Data Makes Better Reasoners
by: Fan, Siqi, et al.
Published: (2026)
by: Fan, Siqi, et al.
Published: (2026)
Advantageous Parameter Expansion Training Makes Better Large Language Models
by: Gu, Naibin, et al.
Published: (2025)
by: Gu, Naibin, et al.
Published: (2025)
Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter
by: Zhao, Weixiang, et al.
Published: (2025)
by: Zhao, Weixiang, et al.
Published: (2025)
Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models
by: Luo, Gen, et al.
Published: (2025)
by: Luo, Gen, et al.
Published: (2025)
The Price Reversal Phenomenon: When Cheaper Reasoning Models Cost More
by: Chen, Lingjiao, et al.
Published: (2026)
by: Chen, Lingjiao, et al.
Published: (2026)
GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels
by: Yan, Jianhao, et al.
Published: (2024)
by: Yan, Jianhao, et al.
Published: (2024)
PerfCodeBench: Benchmarking LLMs for System-Level High-Performance Code Optimization
by: Jing, Huihao, et al.
Published: (2026)
by: Jing, Huihao, et al.
Published: (2026)
Ada-K Routing: Boosting the Efficiency of MoE-based LLMs
by: Yue, Tongtian, et al.
Published: (2024)
by: Yue, Tongtian, et al.
Published: (2024)
Abstraction-of-Thought Makes Language Models Better Reasoners
by: Hong, Ruixin, et al.
Published: (2024)
by: Hong, Ruixin, et al.
Published: (2024)
Similar Items
-
Organizing, Orchestrating, and Benchmarking Agent Skills at Ecosystem Scale
by: Li, Hao, et al.
Published: (2026) -
Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model Heterogeneity
by: Zhang, Hangfan, et al.
Published: (2025) -
The Path of Self-Evolving Large Language Models: Achieving Data-Efficient Learning via Intrinsic Feedback
by: Zhang, Hangfan, et al.
Published: (2025) -
MTRouter: Cost-Aware Multi-Turn LLM Routing with History-Model Joint Embeddings
by: Zhang, Yiqun, et al.
Published: (2026) -
Nature-Inspired Population-Based Evolution of Large Language Models
by: Zhang, Yiqun, et al.
Published: (2025)