works on

From the 1 of 11 linked papers with an AI index.

activity
20242026
collaborators

11 papers

cs.IR2026

iTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification

Zhuoxuan Huang, Yunshan Ma, Hongyu Zhang +2

The paper defines the travel itinerary modification task and introduces iTIMO, a dataset created by using large language models to perturb real itineraries through replace, add, an…

cs.IR2026

CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation

Yujuan Ding, Junrong Liao, Yunshan Ma +4

Personalized outfit recommendation poses a significant challenge in e-commerce and social media platforms, requiring systems that balance user preferences with aesthetic compatibil…

q-fin.ST2026

Reasoning on Time-Series for Financial Technical Analysis

Kelvin J. L. Koa, Jan Chen, Yunshan Ma +2

While Large Language Models have been used to produce interpretable stock forecasts, they mainly focus on analyzing textual reports but not historical price data, also known as Tec…

cs.LG2026

ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting

Haoxuan Li, He Chang, Yunshan Ma +4

Event forecasting is inherently influenced by multifaceted considerations, including international relations, regional historical dynamics, and cultural contexts. However, existing…

q-fin.RM2025

Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes

Kelvin J. L. Koa, Yunshan Ma, Yi Xu +3

Stock portfolios are often exposed to rare consequential events (e.g., 2007 global financial crisis, 2020 COVID-19 stock market crash), as they do not have enough historical inform…

cs.IR2025

SemCORE: A Semantic-Enhanced Generative Cross-Modal Retrieval Framework with MLLMs

Haoxuan Li, Yi Bin, Yunshan Ma +4

Cross-modal retrieval (CMR) is a fundamental task in multimedia research, focused on retrieving semantically relevant targets across different modalities. While traditional CMR met…