:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Bang, Seunghwan, Song, Hwanjun
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2502.14541
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reasoning over Video: Evaluating How MLLMs Extract, Integrate, and Reconstruct Spatiotemporal Evidence
by: Bang, Seunghwan, et al.
Published: (2026)

Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration
by: Han, Donghee, et al.
Published: (2025)

Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data Pipelines
by: Song, Hwanjun
Published: (2026)

Aligning Extraction and Generation for Robust Retrieval-Augmented Generation
by: Song, Hwanjun, et al.
Published: (2025)

ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback
by: Yun, Taewon, et al.
Published: (2025)

In-Context Learning with Noisy Labels
by: Kang, Junyong, et al.
Published: (2024)

Learning to Verify Summary Facts with Fine-Grained LLM Feedback
by: Oh, Jihwan, et al.
Published: (2024)

References Indeed Matter? Reference-Free Preference Optimization for Conversational Query Reformulation
by: Kim, Doyoung, et al.
Published: (2025)

Learning to Summarize from LLM-generated Feedback
by: Song, Hwanjun, et al.
Published: (2024)

Transforming User Defined Criteria into Explainable Indicators with an Integrated LLM AHP System
by: Bang, Geonwoo, et al.
Published: (2025)

Language-Based User Profiles for Recommendation
by: Zhou, Joyce, et al.
Published: (2024)

Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding
by: Yun, Taewon, et al.
Published: (2026)

What Makes a Sale? Rethinking End-to-End Seller--Buyer Retail Dynamics with LLM Agents
by: Choi, Jeonghwan, et al.
Published: (2026)

UniSumEval: Towards Unified, Fine-Grained, Multi-Dimensional Summarization Evaluation for LLMs
by: Lee, Yuho, et al.
Published: (2024)

FineSurE: Fine-grained Summarization Evaluation using LLMs
by: Song, Hwanjun, et al.
Published: (2024)

iAgent: LLM Agent as a Shield between User and Recommender Systems
by: Xu, Wujiang, et al.
Published: (2025)

HoneyComb: A Flexible LLM-Based Agent System for Materials Science
by: Zhang, Huan, et al.
Published: (2024)

Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection
by: He, Jianfeng, et al.
Published: (2024)

Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages
by: Min, Hyangsuk, et al.
Published: (2025)

Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders
by: Zhang, Yuwei, et al.
Published: (2024)

Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems
by: Sekulić, Ivan, et al.
Published: (2024)

Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems
by: Li, Chuang, et al.
Published: (2024)

Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization
by: Du, Linfeng, et al.
Published: (2026)

Evaluating LLM Adaptation to Sociodemographic Factors: User Profile vs. Dialogue History
by: Zhong, Qishuai, et al.
Published: (2025)

Privacy in LLM-based Recommendation: Recent Advances and Future Directions
by: Luo, Sichun, et al.
Published: (2024)

UP4LS: User Profile Constructed by Multiple Attributes for Enhancing Linguistic Steganalysis
by: Wang, Yihao, et al.
Published: (2023)

Citation Recommendation based on Argumentative Zoning of User Queries
by: Ma, Shutian, et al.
Published: (2025)

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

RDRec: Rationale Distillation for LLM-based Recommendation
by: Wang, Xinfeng, et al.
Published: (2024)

A Survey on LLM-based Conversational User Simulation
by: Ni, Bo, et al.
Published: (2026)

Concept -- An Evaluation Protocol on Conversational Recommender Systems with System-centric and User-centric Factors
by: Huang, Chen, et al.
Published: (2024)

Membership Inference Attacks on LLM-based Recommender Systems
by: He, Jiajie, et al.
Published: (2025)

Enhancing User Engagement in Socially-Driven Dialogue through Interactive LLM Alignments
by: Wang, Jiashuo, et al.
Published: (2025)

Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers
by: Vashishtha, Shanu, et al.
Published: (2024)

Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration
by: Qin, Jeremy, et al.
Published: (2024)

MMREC: LLM Based Multi-Modal Recommender System
by: Tian, Jiahao, et al.
Published: (2024)

Completing Missing Annotation: Multi-Agent Debate for Accurate and Scalable Relevant Assessment for IR Benchmarks
by: Ban, Minjeong, et al.
Published: (2026)

MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets
by: Aboutalebi, Hossein, et al.
Published: (2024)

Stereotype or Personalization? User Identity Biases Chatbot Recommendations
by: Kantharuban, Anjali, et al.
Published: (2024)

Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts
by: Deng, Jiaqi, et al.
Published: (2025)