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20212026
most citedModel-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs

3 citations · 5 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.CL2025

One-Topic-Doesn't-Fit-All: Transcreating Reading Comprehension Test for Personalized Learning

Jieun Han, Daniel Lee, Haneul Yoo +5

Personalized learning has gained attention in English as a Foreign Language (EFL) education, where engagement and motivation play crucial roles in reading comprehension. We propose…

cs.CL2025

DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models

Sunghee Jung, Donghun Lee, Shinbok Lee +7

Tool-Augmented Larage Language Models (TA-LLMs) have shown promise in real-world applications, but face challenges in handling incomplete queries and out-of-scope requests. While e…

cs.CL2025

ShED-HD: A Shannon Entropy Distribution Framework for Lightweight Hallucination Detection on Edge Devices

Aneesh Vathul, Daniel Lee, Sheryl Chen +1

Large Language Models (LLMs) have demonstrated impressive capabilities on a broad array of NLP tasks, but their tendency to produce hallucinations$\unicode{x2013}$plausible-soundin…

cs.CL2025★ 2 cited

Kanana: Compute-efficient Bilingual Language Models

Kanana LLM Team, Yunju Bak, Hojin Lee +26

We introduce Kanana, a series of bilingual language models that demonstrate exceeding performance in Korean and competitive performance in English. The computational cost of Kanana…

cs.CL2024

FunctionChat-Bench: Comprehensive Evaluation of Language Models' Generative Capabilities in Korean Tool-use Dialogs

Shinbok Lee, Gaeun Seo, Daniel Lee +3

This study investigates language models' generative capabilities in tool-use dialogs. We categorize the models' outputs in tool-use dialogs into four distinct types: Tool Call, Ans…

cs.CL2021

Answering Chinese Elementary School Social Study Multiple Choice Questions

Daniel Lee, Chao-Chun Liang, Keh-Yih Su

We present a novel approach to answer the Chinese elementary school Social Study Multiple Choice questions. Although BERT has demonstrated excellent performance on Reading Comprehe…