20 citations · 22 across the 5 of their papers we have counts for
5 papers
CHARM: Character Hallucination for Multicultural Role Play Benchmark
Sunkyung Han, Nahyeon Park, Gaeun Seo +2
Role-playing large language models (LLMs) are expected to adopt a character's style while also respecting that character's knowledge boundaries. Prior evaluations detect character…
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…
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…
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…
Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysis
Shinhyeok Oh, Dongyub Lee, Taesun Whang +4
Existing works for aspect-based sentiment analysis (ABSA) have adopted a unified approach, which allows the interactive relations among subtasks. However, we observe that these met…