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LLM-Friendly Knowledge Representation for Customer Support

LLM-Friendly Knowledge Representation for Customer Support

International Conference on Computational Linguistics (COLING), 2025
11 October 2025
Hanchen Su
Wei Luo
Wei Han
Yu Elaine Liu
Yufeng Wayne Zhang
Cen Mia Zhao
Y. Zhang
Yashar Mehdad
ArXiv (abs)PDFHTMLGithub

Papers citing "LLM-Friendly Knowledge Representation for Customer Support"

7 / 7 papers shown
Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support
Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support
Cen Mia Zhao
Tiantian Zhang
Hanchen Su
Y. Zhang
Shaowei Su
...
Yu Elaine Liu
Wei Han
Jeremy Werner
Claire Na Cheng
Yashar Mehdad
152
2
0
08 Oct 2025
Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
Shouju Wang
F. Yu
Xirui Liu
Xiaoting Qin
Jue Zhang
Qingwei Lin
Dongmei Zhang
Saravan Rajmohan
205
11
0
22 Sep 2025
PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants
PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI AssistantsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Zheng Zhao
Clara Vania
Subhradeep Kayal
Naila Khan
Shay B. Cohen
Emine Yilmaz
AI4MH
322
13
0
11 Jun 2025
PAM: Training Policy-Aligned Moderation Filters at Scale
PAM: Training Policy-Aligned Moderation Filters at ScaleLinguistics Vanguard (LV), 2024
M. Fatehkia
Enes Altinisik
Mohamed Osman
Husrev Taha Sencar
360
2
0
26 May 2025
The Illusionist's Prompt: Exposing the Factual Vulnerabilities of Large Language Models with Linguistic Nuances
The Illusionist's Prompt: Exposing the Factual Vulnerabilities of Large Language Models with Linguistic Nuances
Yining Wang
Longji Xu
Xi Li
Mi Zhang
Geng Hong
Min Yang
AAMLHILM
352
1
0
01 Apr 2025
Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce
Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-CommerceAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Jingying Zeng
Zhenwei Dai
Hui Liu
Samarth Varshney
Zhiji Liu
Chen Luo
Zhen Li
Qi He
Xianfeng Tang
379
3
0
14 Mar 2025
Automating Customer Needs Analysis: A Comparative Study of Large Language Models in the Travel Industry
Automating Customer Needs Analysis: A Comparative Study of Large Language Models in the Travel Industry
Simone Barandoni
F. Chiarello
Lorenzo Cascone
Emiliano Marrale
Salvatore Puccio
319
10
0
27 Apr 2024
1
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