8 citations · 20 across the 16 of their papers we have counts for
16 papers
ParaPairAudioBench: Paralinguistic Pairwise Audio Benchmark for LALM-as-a-Judge
Jisu Jeon, Seungyeon Jwa, Joosung Lee +6
Large Audio-Language Models (LALMs) have been widely used as judge models for the automatic evaluation of generated speech. However, prior approaches predominantly focus on holisti…
What Models Know, How Well They Know It: Knowledge-Weighted Fine-Tuning for Learning When to Say "I Don't Know"
Joosung Lee, Hwiyeol Jo, Donghyeon Ko +3
While large language models (LLMs) demonstrate strong capabilities across diverse user queries, they still suffer from hallucinations, often arising from knowledge misalignment bet…
OmniACBench: A Benchmark for Evaluating Context-Grounded Acoustic Control in Omni-Modal Models
Seunghee Kim, Bumkyu Park, Kyudan Jung +5
Most testbeds for omni-modal models assess multimodal understanding via textual outputs, leaving it unclear whether these models can properly speak their answers. To study this, we…
Finding Answers in Thought Matters: Revisiting Evaluation on Large Language Models with Reasoning
Hwiyeol Jo, Joosung Lee, Jaehone Lee +3
Evaluating generative models, such as large language models (LLMs), commonly involves question-answering tasks where the final answer is selected based on probability of answer cho…
Enhancing Hallucination Detection via Future Context
Joosung Lee, Cheonbok Park, Hwiyeol Jo +3
Large Language Models (LLMs) are widely used to generate plausible text on online platforms, without revealing the generation process. As users increasingly encounter such black-bo…
Enhanced Facet Generation with LLM Editing
Joosung Lee, Jinhong Kim
In information retrieval, facet identification of a user query is an important task. If a search service can recognize the facets of a user's query, it has the potential to offer u…
P5: Plug-and-Play Persona Prompting for Personalized Response Selection
Joosung Lee, Minsik Oh, Donghun Lee
The use of persona-grounded retrieval-based chatbots is crucial for personalized conversations, but there are several challenges that need to be addressed. 1) In general, collectin…
PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue
Minsik Oh, Joosung Lee, Jiwei Li +1
Identifying relevant persona or knowledge for conversational systems is critical to grounded dialogue response generation. However, each grounding has been mostly researched in iso…
The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation
Joosung Lee
In emotion recognition in conversation (ERC), the emotion of the current utterance is predicted by considering the previous context, which can be utilized in many natural language…
Multimodal Interactions Using Pretrained Unimodal Models for SIMMC 2.0
Joosung Lee, Kijong Han
This paper presents our work on the Situated Interactive MultiModal Conversations 2.0 challenge held at Dialog State Tracking Challenge 10. SIMMC 2.0 includes 4 subtasks, and we in…
An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model
Kijong Han, Seojin Lee, Wooin Lee +2
Multi-turn response selection models have recently shown comparable performance to humans in several benchmark datasets. However, in the real environment, these models often have w…
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation
Joosung Lee, Wooin Lee
As the use of interactive machines grow, the task of Emotion Recognition in Conversation (ERC) became more important. If the machine-generated sentences reflect emotion, more human…
Paraphrasing via Ranking Many Candidates
Joosung Lee
We present a simple and effective way to generate a variety of paraphrases and find a good quality paraphrase among them. As in previous studies, it is difficult to ensure that one…
Transforming Multi-Conditioned Generation from Meaning Representation
Joosung Lee
In task-oriented conversation systems, natural language generation systems that generate sentences with specific information related to conversation flow are useful. Our study focu…
Stable Style Transformer: Delete and Generate Approach with Encoder-Decoder for Text Style Transfer
Joosung Lee
Text style transfer is the task that generates a sentence by preserving the content of the input sentence and transferring the style. Most existing studies are progressing on non-p…
AD-VO: Scale-Resilient Visual Odometry Using Attentive Disparity Map
Joosung Lee, Sangwon Hwang, Kyungjae Lee +4
Visual odometry is an essential key for a localization module in SLAM systems. However, previous methods require tuning the system to adapt environment changes. In this paper, we p…