12 citations · 21 across the 12 of their papers we have counts for
6 papers · 1 filter
CM2: Multimodal Cultural Reasoning via an Integrated Multi-Agent Framework
Qi Li, Zhaojie Kang, Yingjie He +6
Multimodal Large Language Models (MLLMs) have shown remarkable success in STEM domains, where progress is often driven by vertical, step-by-step deduction under relatively stable s…
JPO: Juris Policy Optimization for Structured Legal Reasoning in Criminal Judgment Prediction
Zhaolu Kang, Yantao Liu, Tailong Luo +14
Criminal judgment prediction requires models to infer statutory articles, charges, and sentencing outcomes from case facts. Unlike standard classification tasks, it involves a stru…
Multimodal Multi-Agent Empowered Legal Judgment Prediction
Zhaolu Kang, Junhao Gong, Qingxi Chen +7
Legal Judgment Prediction (LJP) aims to predict the outcomes of legal cases based on factual descriptions, serving as a fundamental task to advance the development of legal systems…
DRACO: a Cross-Domain Benchmark for Deep Research Accuracy, Completeness, and Objectivity
Joey Zhong, Hao Zhang, Clare Southern +7
We present DRACO (Deep Research Accuracy, Completeness, and Objectivity), a benchmark of complex deep research tasks. These tasks, which span 10 domains and draw on information sou…
Missing-by-Design: Certifiable Modality Deletion for Revocable Multimodal Sentiment Analysis
Rong Fu, Ziming Wang, Chunlei Meng +4
As multimodal systems increasingly process sensitive personal data, the ability to selectively revoke specific data modalities has become a critical requirement for privacy complia…
Video-KTR: Reinforcing Video Reasoning via Key Token Attribution
Ziyue Wang, Sheng Jin, Zhongrong Zuo +5
Reinforcement learning (RL) has shown strong potential for enhancing reasoning in multimodal large language models, yet existing video reasoning methods often rely on coarse sequen…