The first workshop on personalized generative ai@ cikm 2023: Personalization meets large language models

Z Chen, Z Jiang, F Yang, Z He, Y Hou, E Cho… - Proceedings of the …, 2023 - dl.acm.org
The First Workshop on Personalized Generative AI1 aims to be a cornerstone event
fostering innovation and collaboration in the dynamic field of personalized AI. Leveraging …

Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding

Z Chen, Z Jiang, F Yang, E Cho, X Fan… - arXiv preprint arXiv …, 2023 - arxiv.org
Conversational AI systems such as Alexa need to understand defective queries to ensure
robust conversational understanding and reduce user friction. These defective queries often …

Kg-eco: Knowledge graph enhanced entity correction for query rewriting

J Cai, M Li, Z Jiang, E Cho, Z Chen… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Query Rewriting (QR) plays a critical role in large-scale dialogue systems for reducing
frictions. When there is an entity error, it imposes extra challenges for a dialogue system to …

CURATRON: Complete and Robust Preference Data for Rigorous Alignment of Large Language Models

NU Naresh, T Tulabandhula - … of the Fifth Workshop on Data …, 2024 - aclanthology.org
This paper addresses the challenges of aligning large language models (LLMs) with human
values via preference learning (PL), focusing on incomplete and corrupted data in …

CL-QR: Cross-lingual enhanced query reformulation for multi-lingual conversational AI agents

Z Sun, Z Zhao, S Lu, C Ma, X Liu, X Fan… - Proceedings of the …, 2023 - aclanthology.org
The growing popularity of conversational AI agents such as Alexa, Google Assistant, and Siri
rely on accurate spoken language comprehension. The query reformulation (QR) method …

Personalized dense retrieval on global index for voice-enabled conversational systems

M Belyi, C Dzialo, C Dwivedi, P Muppidi… - Proceedings of the …, 2023 - aclanthology.org
Voice-controlled AI dialogue systems are susceptible to noise from phonetic variations and
failure to resolve ambiguous entities. Typically, personalized entity resolution (ER) and/or …