3 papers
cs.CL2025
TIM: A Large-Scale Dataset and large Timeline Intelligence Model for Open-domain Timeline Summarization
Chuanrui Hu, Wei Hu, Penghang Yu +2
Open-domain Timeline Summarization (TLS) is crucial for monitoring the evolution of news topics. To identify changes in news topics, existing methods typically employ general Large…
cs.CL2025
ReasonGRM: Enhancing Generative Reward Models through Large Reasoning Models
Bin Chen, Xinzge Gao, Chuanrui Hu +3
Generative Reward Models (GRMs) provide greater flexibility than scalar reward models in capturing human preferences, but their effectiveness is limited by poor reasoning capabilit…
cs.IR2025
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
Qile Fan, Penghang Yu, Zhiyi Tan +2
Multimedia recommender systems focus on utilizing behavioral information and content information to model user preferences. Typically, it employs pre-trained feature encoders to ex…