activity
20242026
most citedDynaSaur: Large Language Agents Beyond Predefined Actions

2 citations · 9 across the 33 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.CL2024★ 2 cited

Multi-LLM Text Summarization

Jiangnan Fang, Cheng-Tse Liu, Jieun Kim +9

In this work, we propose a Multi-LLM summarization framework, and investigate two different multi-LLM strategies including centralized and decentralized. Our multi-LLM summarizatio…

cs.AI2024

GUI Agents: A Survey

Dang Nguyen, Jian Chen, Yu Wang +27

Graphical User Interface (GUI) agents, powered by Large Foundation Models, have emerged as a transformative approach to automating human-computer interaction. These agents autonomo…

cs.CL2024

VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation

Manan Suri, Puneet Mathur, Franck Dernoncourt +3

Understanding information from a collection of multiple documents, particularly those with visually rich elements, is important for document-grounded question answering. This paper…

cs.CL2024★ 2 cited

DynaSaur: Large Language Agents Beyond Predefined Actions

Dang Nguyen, Viet Dac Lai, Seunghyun Yoon +9

Existing LLM agent systems typically select actions from a fixed and predefined set at every step. While this approach is effective in closed, narrowly scoped environments, it pres…

cs.HC2024★ 2 cited

Survey of User Interface Design and Interaction Techniques in Generative AI Applications

Reuben Luera, Ryan A. Rossi, Alexa Siu +10

The applications of generative AI have become extremely impressive, and the interplay between users and AI is even more so. Current human-AI interaction literature has taken a broa…

cs.CL2024

Taipan: Efficient and Expressive State Space Language Models with Selective Attention

Chien Van Nguyen, Huy Huu Nguyen, Thang M. Pham +8

Efficient long-context language modeling remains a significant challenge in Natural Language Processing (NLP). While Transformers dominate language tasks, they struggle with long s…