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

2 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing cs.AIShow all

5 papers · 1 filter

cs.AI2026

LLMRouterBench: A Massive Benchmark and Unified Framework for LLM Routing

Hao Li, Yiqun Zhang, Zhaoyan Guo +9

Large language model (LLM) routing assigns each query to the most suitable model from an ensemble. We introduce LLMRouterBench, a large-scale benchmark and unified framework for LL…

cs.AI2025

Learning Compact Representations of LLM Abilities via Item Response Theory

Jianhao Chen, Chenxu Wang, Gengrui Zhang +5

Recent years have witnessed a surge in the number of large language models (LLMs), yet efficiently managing and utilizing these vast resources remains a significant challenge. In t…

cs.AI2025

PhysicsMinions: Winning Gold Medals in the Latest Physics Olympiads with a Coevolutionary Multimodal Multi-Agent System

Fangchen Yu, Junchi Yao, Ziyi Wang +10

Physics is central to understanding and shaping the real world, and the ability to solve physics problems is a key indicator of real-world physical intelligence. Physics Olympiads,…

cs.AI2025

SCI-Verifier: Scientific Verifier with Thinking

Shenghe Zheng, Chenyu Huang, Fangchen Yu +8

As large language models (LLMs) are increasingly applied to scientific reasoning, the complexity of answer formats and the diversity of equivalent expressions make answer verificat…

cs.AI2025

HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark?

Fangchen Yu, Haiyuan Wan, Qianjia Cheng +14

Recently, the physical capabilities of (M)LLMs have garnered increasing attention. However, existing benchmarks for physics suffer from two major gaps: they neither provide systema…