Transitivity Meets Cyclicity: Explicit Preference Decomposition for Dynamic Large Language Model Alignment
Yucong Huang · Xiucheng Li · Kaiqi Zhao · Jing Li
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Yucong Huang · Xiucheng Li · Kaiqi Zhao · Jing Li
Weizhe Shi · Qiqi Wang · Yihong Pan · Qian Liu · Kaiqi Zhao
A criminal judicial opinion represents the judge’s disposition of a case, including the decision rationale and sentencing. Automatically generating such opinions can assist in analyzing sentencing consistency and provide judges with references to past similar cases. However, current research typi...
Xianda Zheng · Zijian Huang · Meng-Fen Chiang · Jiamou Liu · Yuan Fang · Michael J. Witbrock · Kaiqi Zhao
Explicit knowledge conflicts, where retrieved contexts contain contradictory information, have become increasingly prevalent as Large Language Models (LLMs) integrate diverse data sources. The core challenge lies in the complexity of entangled narratives and the heterogeneity of conflict cases, w...
Xianda Zheng · Huan Gao · Meng-Fen Chiang · Michael J. Witbrock · Kaiqi Zhao · Shangyang Li
Despite recent progress, the reasoning capabilities of large multimodal language models (MLLMs) remain fundamentally constrained by static supervision, where fixed prompts, rules, or reward models provide non-adaptive guidance throughout training. Such static signals are often sufficient to enfor...
Fanghao Lou · Qiqi Wang · Guanyu Chen · Senbo Zhang · Kaiqi Zhao · Qian Liu · Huijia Li
Legal case facts are often lengthy, complex, and difficult to process, posing challenges for legal judgment prediction. Although recent advances leverage large language models (LLMs) for legal reasoning, they face high computational costs and information degradation when handling long cases. Prev...
Xiaobin Ren · Kaiqi Zhao · Katerina Taskova · Patricia Riddle
Fanghao Lou · Qiqi Wang · Guanyu Chen · Kaiqi Zhao · Huijia Li