Cover Image

On the Effectiveness of Integration Methods for Multimodal Dialogue Response Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jang, Seongbo, Lee, Seonghyeon, Lee, Dongha, Yu, Hwanjo
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark
by: Jang, Seongbo, et al.
Published: (2024)

From What to Respond to When to Respond: Timely Response Generation for Open-domain Dialogue Agents
by: Jang, Seongbo, et al.
Published: (2025)

Exploring Language Model's Code Generation Ability with Auxiliary Functions
by: Lee, Seonghyeon, et al.
Published: (2024)

How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code
by: Lee, Seonghyeon, et al.
Published: (2025)

Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation
by: Lee, Seonghyeon, et al.
Published: (2024)

Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria
by: Jang, Joonwon, et al.
Published: (2024)

MoCoRP: Modeling Consistent Relations between Persona and Response for Persona-based Dialogue
by: Lee, Kyungro, et al.
Published: (2025)

STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
by: Lee, Kyumin, et al.
Published: (2025)

REFIND at SemEval-2025 Task 3: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models
by: Lee, DongGeon, et al.
Published: (2025)

Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot
by: Lee, Sejin, et al.
Published: (2024)

Can Large Language Models be Effective Online Opinion Miners?
by: Heo, Ryang, et al.
Published: (2025)

MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables
by: Seo, Kwangwook, et al.
Published: (2025)

Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study
by: Lee, DongGeon, et al.
Published: (2025)

Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes
by: Chon, Heejae, et al.
Published: (2024)

INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models
by: Oh, Hanseok, et al.
Published: (2024)

Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries
by: Lee, Seanie, et al.
Published: (2024)

P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist
by: Seo, Kwangwook, et al.
Published: (2026)

Everyday Physics in Korean Contexts: A Culturally Grounded Physical Reasoning Benchmark
by: Jeong, Jihae, et al.
Published: (2025)

MAP4TS: A Multi-Aspect Prompting Framework for Time-Series Forecasting with Large Language Models
by: Lee, Suchan, et al.
Published: (2025)

Analysis of Utterance Embeddings and Clustering Methods Related to Intent Induction for Task-Oriented Dialogue
by: Park, Jeiyoon, et al.
Published: (2022)

Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks
by: Lee, Changho, et al.
Published: (2024)

OPSD Compresses What RLVR Teaches: A Post-RL Compaction Stage for Reasoning Models
by: Kim, Jaehoon, et al.
Published: (2026)

Region4Web: Rethinking Observation Space Granularity for Web Agents
by: Kwon, Donguk, et al.
Published: (2026)

RoToR: Towards More Reliable Responses for Order-Invariant Inputs
by: Yoon, Soyoung, et al.
Published: (2025)

Rectifying Demonstration Shortcut in In-Context Learning
by: Jang, Joonwon, et al.
Published: (2024)

Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History
by: Kim, Serin, et al.
Published: (2026)

Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph
by: Prahlad, Deeksha, et al.
Published: (2025)

Inference is All You Need: Self Example Retriever for Cross-domain Dialogue State Tracking with ChatGPT
by: Lee, Jihyun, et al.
Published: (2024)

Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis
by: Yang, Sohee, et al.
Published: (2023)

In Their Own Words: Reasoning Traces Tailored for Small Models Make Them Better Reasoners
by: Kim, Jaehoon, et al.
Published: (2025)

Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization
by: Seo, Kwangwook, et al.
Published: (2024)

YA-TA: Towards Personalized Question-Answering Teaching Assistants using Instructor-Student Dual Retrieval-augmented Knowledge Fusion
by: Yang, Dongil, et al.
Published: (2024)

Uncertainty Quantification and Decomposition for LLM-based Recommendation
by: Kweon, Wonbin, et al.
Published: (2025)

RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization
by: Cho, Seonglae, et al.
Published: (2023)

Topic Coverage-based Demonstration Retrieval for In-Context Learning
by: Kweon, Wonbin, et al.
Published: (2025)

DiagESC: Dialogue Synthesis for Integrating Depression Diagnosis into Emotional Support Conversation
by: Seo, Seungyeon, et al.
Published: (2024)

BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback
by: Kim, Hyunseo, et al.
Published: (2025)

Towards Lifelong Dialogue Agents via Timeline-based Memory Management
by: Ong, Kai Tzu-iunn, et al.
Published: (2024)

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation
by: Zhao, Kun, et al.
Published: (2025)

Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Task
by: Lee, Unggi, et al.
Published: (2024)