most citedA Survey of Small Language Models

6 citations · 11 across the 9 of their papers we have counts for

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cs.CL2025

Exploring Rewriting Approaches for Different Conversational Tasks

Md Mehrab Tanjim, Ryan A. Rossi, Mike Rimer +9

Conversational assistants often require a question rewriting algorithm that leverages a subset of past interactions to provide a more meaningful (accurate) answer to the user's que…

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★ 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…