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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.AI2026

MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation

Runhan Shi, Quan Zhou, Yuqian Xu +14

The paper presents MedRealMM, a large-scale benchmark of real Chinese online medical consultations that includes both text and patient-uploaded images, and evaluates how well large…

cs.RO2026

SENIOR: Efficient Query Selection and Preference-Guided Exploration in Preference-based Reinforcement Learning

Hexian Ni, Tao Lu, Haoyuan Hu +2

Preference-based Reinforcement Learning (PbRL) methods provide a solution to avoid reward engineering by learning reward models based on human preferences. However, poor feedback-…

cs.AI2026

Mitigating Hallucination in Financial Retrieval-Augmented Generation via Fine-Grained Knowledge Verification

Taoye Yin, Haoyuan Hu, Yaxin Fan +5

In financial Retrieval-Augmented Generation (RAG) systems, models frequently rely on retrieved documents to generate accurate responses due to the time-sensitive nature of the fina…

cs.LG2026

Auto-Rubric: Learning From Implicit Weights to Explicit Rubrics for Reward Modeling

Lipeng Xie, Sen Huang, Zhuo Zhang +9

Conventional reward modeling relies on gradient descent over neural weights, creating opaque, data-hungry "black boxes." We propose a paradigm shift from implicit to explicit rewar…

cs.CL2025

Layout-Aware Parsing Meets Efficient LLMs: A Unified, Scalable Framework for Resume Information Extraction and Evaluation

Fanwei Zhu, Jinke Yu, Zulong Chen +6

Automated resume information extraction is critical for scaling talent acquisition, yet its real-world deployment faces three major challenges: the extreme heterogeneity of resume…