A Semantic-enhanced CRS (SCRS) is proposed that explicitly models response-based semantic uncertainty and item-based semantic relevance to enhance both response and recommendation quality and achieves significant improvements in both recommendation accuracy and response quality over state-of-the-art baselines.
Chang-Bin Zhong, Jie Zou, Ai-Xin Sun et al.· ACM Transactions on Informat...· 0 citations
The core of CLEAR is entailment distillation, which transfers answer-passage entailment supervision into a cross-encoder reranker so that the reranker discriminates answer-supporting passages from topical distractors at inference time, without requiring answers.
Shuai Qin, Guo-Jia An, Wei-Kang Guo et al.· 0 citations
Divergent Reasoning for LLM-based Recommendation is proposed, which effectively mitigates the issue of reasoning path collapse, while improving both the accuracy and diversity of LLM-based recommendations.
Guo-Jia An, Jie Zou, Yu-Han Yang et al.· Annual International ACM SIG...· 1 citation
MGUE-Bench is introduced, a systematic benchmark for assessing the performance of large language models in multi-granularity event analysis, and extensive experiments on state-of-the-art LLMs and retrieval-augmented generation methods delineate the current capability boundary and identify critical deficiencies, providi...
Tao Wen, Shuai Shao, Pei Ke et al.· Annual International ACM SIG...· 0 citations
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