4 citations · 4 across the 4 of their papers we have counts for
4 papers
DeGRe: Dense-supervised Generative Reranking for Recommendation
Chaotian Song, Jingyao Zhang, Chenghao Chen +6
In multi-stage recommender systems, reranking optimizes overall utility by capturing intra-list contextual dependencies, yet its central challenge lies in exploring optimal sequenc…
A Hierarchical Error-Corrective Graph Framework for Autonomous Agents with LLM-Based Action Generation
Cong Cao, Jingyao Zhang, Kun Tong
We propose a Hierarchical Error-Corrective Graph FrameworkforAutonomousAgentswithLLM-BasedActionGeneration(HECG),whichincorporates three core innovations: (1) Multi-Dimensional Tra…
Exploring the Power of Diffusion Large Language Models for Software Engineering: An Empirical Investigation
Jingyao Zhang, Tianlin Li, Xiaoyu Zhang +2
Autoregressive Large Language Models (AR-LLMs) are widely used in software engineering (SE) but face limitations in processing code structure information and suffer from high infer…
SoAy: A Solution-based LLM API-using Methodology for Academic Information Seeking
Yuanchun Wang, Jifan Yu, Zijun Yao +13
Applying large language models (LLMs) for academic API usage shows promise in reducing researchers' academic information seeking efforts. However, current LLM API-using methods str…