Generating user-engaging news headlines

P Cai, K Song, S Cho, H Wang, X Wang… - Proceedings of the …, 2023 - aclanthology.org
The potential choices for news article headlines are enormous, and finding the right balance
between conveying the essential message and capturing the reader's attention is key to …

Personalized Graph-Based Retrieval for Large Language Models

S Au, CJ Dimacali, O Pedirappagari, N Park… - arxiv preprint arxiv …, 2025 - arxiv.org
As large language models (LLMs) evolve, their ability to deliver personalized and context-
aware responses offers transformative potential for improving user experiences. Existing …

[PDF][PDF] Building Knowledge Graphs of Experientially Related Concepts.

W Yang, X Ma - AKBC, 2022 - akbc.ws
Consumers assess and select products and services based on a combination of objective
factual attributes (eg, price) and subjective experiential factors. For example, when choosing …

Generative Language Models for Personalized Information Understanding

P Cai - 2024 - scholarworks.umass.edu
A major challenge in information understanding stems from the diverse nature of the
audience, where individuals possess varying preferences, experiences, educational and …

事前学習済み言語モデルの追加学習用データ量の増加に応じた分類性能伸長予測法の提案

倉元俊輝, 鈴木潤 - 人工知能学会全国大会論文集第37 回(2023), 2023 - jstage.jst.go.jp
抄録 大規模な文章コーパスを用いて学習した言語モデルが開発・公開されており,
それらを目的に応じた追加学習用データで微調整学習を実施することで口コミなどの言語データの …

「You May Like This Hotel Because...: Identifying Evidence for Explainable Recommendations」 の研究を振り返って

叶内晨 - 自然言語処理, 2021 - jstage.jst.go.jp
**年, 機械学習モデルを利用した予測や推薦時に, なぜその候補が出力されたのか,
という推薦根拠の説明性に注目が集まっている (Zhang et al. 2020). 例えば …