most citedFrom Rubrics to Reliable Scores: Evidence-Grounded Text Evaluation with LLM Judges

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6 papers

cs.CL20261 cited

From Rubrics to Reliable Scores: Evidence-Grounded Text Evaluation with LLM Judges

Yihan Hong, Huaiyuan Yao, Bolin Shen +3

Rubric-based text evaluation increasingly uses large language models (LLMs) as scalable judges, but aligning frozen black-box models with human scoring standards remains challengin…

cs.CV2026

S^2F-Net:A Robust Spatial-Spectral Fusion Framework for Cross-Model AIGC Detection

Xiangyu Hu, Yicheng Hong, Hongchuang Zheng +2

The rapid development of generative models has imposed an urgent demand for detection schemes with strong generalization capabilities. However, existing detection methods generally…

cs.AI2025

PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning

Yushi Feng, Junye Du, Yingying Hong +2

Existing tool-augmented agentic systems are limited in the real world by (i) black-box reasoning steps that undermine trust of decision-making and pose safety risks, (ii) poor mult…

cs.IT2025

PolarZero: A Reinforcement Learning Approach for Low-Complexity Polarization Kernel Design

Yi-Ting Hong, Stefano Rini, Luca Barletta

Polar codes with large kernels can achieve improved error exponents but are challenging to design with low decoding complexity. This work investigates kernel construction under rec…

cs.IT2025

Reinforcement Learning-Aided Design of Efficient Polarization Kernels

Yi-Ting Hong, Stefano Rini, Luca Barletta

Polar codes with large kernels achieve optimal error exponents but are difficult to construct when low decoding complexity is also required. We address this challenge under recursi…

cs.LG2025

FedSAF: A Federated Learning Framework for Enhanced Gastric Cancer Detection and Privacy Preservation

Yuxin Miao, Xinyuan Yang, Hongda Fan +6

Gastric cancer is one of the most commonly diagnosed cancers and has a high mortality rate. Due to limited medical resources, developing machine learning models for gastric cancer…