most citedBeyond GPT-5: Making LLMs Cheaper and Better via Performance-Efficiency Optimized Routing

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cs.CL2025★ 2 cited

Beyond GPT-5: Making LLMs Cheaper and Better via Performance-Efficiency Optimized Routing

Yiqun Zhang, Hao Li, Jianhao Chen +4

Balancing performance and efficiency is a central challenge in large language model (LLM) advancement. GPT-5 addresses this with test-time routing, dynamically assigning queries to…

cs.CL2025

The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants

Yiqun Zhang, Hao Li, Chenxu Wang +11

Proprietary giants are increasingly dominating the race for ever-larger language models. Can open-source, smaller models remain competitive across a broad range of tasks? In this p…