most citedRetrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering

150 citations · 150 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2025

Evaluating Multi-Turn Bargain Skills in LLM-Based Seller Agent

Issue Yishu Wang, Kakam Chong, Xiaofeng Wang +7

In online second-hand marketplaces, multi-turn bargaining is a crucial part of seller-buyer interactions. Large Language Models (LLMs) can act as seller agents, negotiating with bu…

cs.CL2025

ProCut: LLM Prompt Compression via Attribution Estimation

Zhentao Xu, Fengyi Li, Albert Chen +1

In large-scale industrial LLM systems, prompt templates often expand to thousands of tokens as teams iteratively incorporate sections such as task instructions, few-shot examples,…

cs.CL2025

Text-to-SQL for Enterprise Data Analytics

Albert Chen, Manas Bundele, Gaurav Ahlawat +15

The introduction of large language models has brought rapid progress on Text-to-SQL benchmarks, but it is not yet easy to build a working enterprise solution. In this paper, we pre…

cs.CL2025

BP-Seg: A graphical model approach to unsupervised and non-contiguous text segmentation using belief propagation

Fengyi Li, Kayhan Behdin, Natesh Pillai +3

Text segmentation based on the semantic meaning of sentences is a fundamental task with broad utility in many downstream applications. In this paper, we propose a graphical model-b…

cs.IR2024150 cited

Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering

Zhentao Xu, Mark Jerome Cruz, Matthew Guevara +4

In customer service technical support, swiftly and accurately retrieving relevant past issues is critical for efficiently resolving customer inquiries. The conventional retrieval m…