Generative AI Agents for Knowledge Work Augmentation in Finance

S Ganesh, L Ardon, D Borrajo, D Garg… - Annual Review of …, 2024 - annualreviews.org
The development of software agents that can autonomously take actions to achieve goals
has been a long-standing foundational objective in the field of AI. Recent advances in …

To the globe (TTG): Towards language-driven guaranteed travel planning

D Ju, S Jiang, A Cohen, A Foss, S Mitts… - arxiv preprint arxiv …, 2024 - arxiv.org
Travel planning is a challenging and time-consuming task that aims to find an itinerary which
satisfies multiple, interdependent constraints regarding flights, accommodations, attractions …

[HTML][HTML] Travel itinerary recommendation using interaction-based augmented data

K Otaki, Y Baba - Expert Systems with Applications, 2025 - Elsevier
Itinerary planning is complicated for travelers because the traveling content, including
places to visit, acceptable times, and distances, can be diverse. Travel recommender …

Towards Full Delegation: Designing Ideal Agentic Behaviors for Travel Planning

S Jiang, D JU, A Cohen, S Mitts, A Foss, JT Kao… - arxiv preprint arxiv …, 2024 - arxiv.org
How are LLM-based agents used in the future? While many of the existing work on agents
has focused on improving the performance of a specific family of objective and challenging …

Automated Travel Planning Via Multi-Agent Systems and Real-Time Intelligence

A Singh, R Madhogaria, A Misra… - Available at SSRN …, 2024 - papers.ssrn.com
Modern traveller nowadays has a real issue which is, how to collect the right and individual
information out of hundreds of travel sites for trip planning. Traditionally this process is slow …