2 citations · 2 across the 5 of their papers we have counts for
5 papers
Dual-Enhancement Product Bundling: Bridging Interactive Graph and Large Language Model
Zhe Huang, Peng Wang, Yan Zheng +2
Product bundling boosts e-commerce revenue by recommending complementary item combinations. However, existing methods face two critical challenges: (1) collaborative filtering appr…
KARE-RAG: Knowledge-Aware Refinement and Enhancement for RAG
Yongjian Li, HaoCheng Chu, Yukun Yan +7
Retrieval-Augmented Generation (RAG) equips large language models with external knowledge and is central to knowledge-intensive tasks. As RAG systems enter real-world use, generato…
Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models
Jialiang Wu, Yi Shen, Sijia Liu +4
Despite their impressive capacities, Large language models (LLMs) often struggle with the hallucination issue of generating inaccurate or fabricated content even when they possess…
UniMem: Towards a Unified View of Long-Context Large Language Models
Junjie Fang, Likai Tang, Hongzhe Bi +12
Long-context processing is a critical ability that constrains the applicability of large language models (LLMs). Although there exist various methods devoted to enhancing the long-…
Brain-Like Replay Naturally Emerges in Reinforcement Learning Agents
Jiyi Wang, Likai Tang, Huimiao Chen +2
Replay is a powerful strategy to promote learning in artificial intelligence and the brain. However, the conditions to generate it and its functional advantages have not been fully…