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cs.CL2026
Enhancing Financial Report Question-Answering: A Retrieval-Augmented Generation System with Reranking Analysis
Zhiyuan Cheng, Longying Lai, Yue Liu +2
Financial analysts face significant challenges extracting information from lengthy 10-K reports, which often exceed 100 pages. This paper presents a Retrieval-Augmented Generation…
cs.IR2026
Efficient Personalized Reranking with Semi-Autoregressive Generation and Online Knowledge Distillation
Kai Cheng, Hao Wang, Wei Guo +4
Generative models offer a promising paradigm for the final stage reranking in multi-stage recommender systems, with the ability to capture inter-item dependencies within reranked l…