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20222026
most citedPersonalization of Large Language Models: A Survey

15 citations · 43 across the 70 of their papers we have counts for

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14 papers · 1 filter

cs.CV2024

Personalized Multimodal Large Language Models: A Survey

Junda Wu, Hanjia Lyu, Yu Xia +24

Multimodal Large Language Models (MLLMs) have become increasingly important due to their state-of-the-art performance and ability to integrate multiple data modalities, such as tex…

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.HC2024

Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text

Reuben Luera, Ryan Rossi, Franck Dernoncourt +9

In this work, we research user preferences to see a chart, table, or text given a question asked by the user. This enables us to understand when it is best to show a chart, table,…

cs.CL2024

GRS-QA -- Graph Reasoning-Structured Question Answering Dataset

Anish Pahilajani, Devasha Trivedi, Jincen Shuai +7

Large Language Models (LLMs) have excelled in multi-hop question-answering (M-QA) due to their advanced reasoning abilities. However, the impact of the inherent reasoning structure…

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.CV2024★ 1 cited

SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding

Jian Chen, Ruiyi Zhang, Yufan Zhou +6

Multimodal large language models (MLLMs) have recently shown great progress in text-rich image understanding, yet they still struggle with complex, multi-page visually-rich documen…

cs.CL2024★ 15 cited

Personalization of Large Language Models: A Survey

Zhehao Zhang, Ryan A. Rossi, Branislav Kveton +18

Personalization of Large Language Models (LLMs) has recently become increasingly important with a wide range of applications. Despite the importance and recent progress, most exist…

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★ 6 cited

A Survey of Small Language Models

Chien Van Nguyen, Xuan Shen, Ryan Aponte +25

Small Language Models (SLMs) have become increasingly important due to their efficiency and performance to perform various language tasks with minimal computational resources, maki…

cs.CL2024

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use

Zhehao Zhang, Ryan Rossi, Tong Yu +7

While vision-language models (VLMs) have demonstrated remarkable performance across various tasks combining textual and visual information, they continue to struggle with fine-grai…

cs.CL2024

A Multi-LLM Debiasing Framework

Deonna M. Owens, Ryan A. Rossi, Sungchul Kim +7

Large Language Models (LLMs) are powerful tools with the potential to benefit society immensely, yet, they have demonstrated biases that perpetuate societal inequalities. Despite s…

cs.CL2024

A Framework for Fine-Tuning LLMs using Heterogeneous Feedback

Ryan Aponte, Ryan A. Rossi, Shunan Guo +5

Large language models (LLMs) have been applied to a wide range of tasks, including text summarization, web navigation, and chatbots. They have benefitted from supervised fine-tunin…

cs.CL2024★ 2 cited

LongLaMP: A Benchmark for Personalized Long-form Text Generation

Ishita Kumar, Snigdha Viswanathan, Sushrita Yerra +11

Long-text generation is seemingly ubiquitous in real-world applications of large language models such as generating an email or writing a review. Despite the fundamental importance…

cs.CL2024

ROAST: Review-level Opinion Aspect Sentiment Target Joint Detection for ABSA

Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka +1

Aspect-Based Sentiment Analysis (ABSA) has experienced tremendous expansion and diversity due to various shared tasks spanning several languages and fields and organized via SemEva…