10 citations · 23 across the 7 of their papers we have counts for
7 papers
LLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation
Yunzhe Li, Junting Wang, Hari Sundaram +1
Zero-shot cross-domain sequential recommendation (ZCDSR) enables predictions in unseen domains without additional training or fine-tuning, addressing the limitations of traditional…
CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation
Weixiang Yan, Haitian Liu, Yunkun Wang +8
Large Language Models (LLMs) have demonstrated remarkable performance on assisting humans in programming and facilitating programming automation. However, existing benchmarks for e…
CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation
Weixiang Yan, Yuchen Tian, Yunzhe Li +2
Recent code translation techniques exploit neural machine translation models to translate source code from one programming language to another to satisfy production compatibility o…
Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems
Junting Wang, Adit Krishnan, Hari Sundaram +1
Modern neural collaborative filtering techniques are critical to the success of e-commerce, social media, and content-sharing platforms. However, despite technical advances -- for…
Advancing Precise Outline-Conditioned Text Generation with Task Duality and Explicit Outline Control
Yunzhe Li, Qian Chen, Weixiang Yan +3
Existing works on outline-conditioned text generation typically aim to generate text using provided outlines as rough sketches, such as keywords and phrases. However, these approac…
Extracting Attentive Social Temporal Excitation for Sequential Recommendation
Yunzhe Li, Yue Ding, Bo Chen +5
In collaborative filtering, it is an important way to make full use of social information to improve the recommendation quality, which has been proved to be effective because user…
DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction
Yule Wang, Qiang Luo, Yue Ding +3
In this paper, we propose a novel model named DemiNet (short for DEpendency-Aware Multi-Interest Network) to address the above two issues. To be specific, we first consider various…