:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jeong, Hawon, Park, ChaeHun, Hong, Jimin, Lee, Hojoon, Choo, Jaegul
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2406.12319
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison
by: Park, ChaeHun, et al.
Published: (2024)

Evaluating Automatic Speech Recognition Systems for Korean Meteorological Experts
by: Park, ChaeHun, et al.
Published: (2024)

Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning
by: Choi, Minseok, et al.
Published: (2024)

Can Tool-augmented Large Language Models be Aware of Incomplete Conditions?
by: Yang, Seungbin, et al.
Published: (2024)

Not the Example, but the Process: How Self-Generated Examples Enhance LLM Reasoning
by: Gwak, Daehoon, et al.
Published: (2026)

Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration
by: Park, ChaeHun, et al.
Published: (2024)

Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs
by: Gwak, Daehoon, et al.
Published: (2025)

LiveWeb-IE: A Benchmark For Online Web Information Extraction
by: Yang, Seungbin, et al.
Published: (2026)

Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering
by: Park, ChaeHun, et al.
Published: (2024)

Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
by: Hwang, Dongyoon, et al.
Published: (2024)

Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport
by: Choi, Minseok, et al.
Published: (2024)

Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models
by: Lee, Dohyun, et al.
Published: (2024)

BankMathBench: A Benchmark for Numerical Reasoning in Banking Scenarios
by: Lee, Yunseung, et al.
Published: (2026)

Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
by: Kim, Donghu, et al.
Published: (2024)

Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models
by: Choi, Minseok, et al.
Published: (2024)

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess
by: Hwang, Dongyoon, et al.
Published: (2025)

Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling
by: Gwak, Daehoon, et al.
Published: (2024)

Efficient LLM Comparative Assessment: a Product of Experts Framework for Pairwise Comparisons
by: Liusie, Adian, et al.
Published: (2024)

LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models
by: Liusie, Adian, et al.
Published: (2023)

Exploring In-context Example Generation for Machine Translation
by: Lee, Dohyun, et al.
Published: (2025)

Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models
by: Park, Cheonbok, et al.
Published: (2025)

Comparing Developer and LLM Biases in Code Evaluation
by: Mittal, Aditya, et al.
Published: (2026)

LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education
by: Weissburg, Iain, et al.
Published: (2024)

Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information
by: Cho, Hojun, et al.
Published: (2025)

Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation
by: Yang, Soyoung, et al.
Published: (2024)

Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method
by: Kim, Taehee, et al.
Published: (2026)

ExpGuard: LLM Content Moderation in Specialized Domains
by: Choi, Minseok, et al.
Published: (2026)

PrefPO: Pairwise Preference Prompt Optimization
by: Singhal, Rahul, et al.
Published: (2026)

From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review
by: Zhang, Yaohui, et al.
Published: (2025)

Preferences of a Voice-First Nation: Large-Scale Pairwise Evaluation and Preference Analysis for TTS in Indian Languages
by: Anand, Srija, et al.
Published: (2026)

Talk to Your Slides: High-Efficiency Slide Editing via Language-Driven Structured Data Manipulation
by: Jung, Kyudan, et al.
Published: (2025)

Knockout LLM Assessment: Using Large Language Models for Evaluations through Iterative Pairwise Comparisons
by: Sandan, Isik Baran, et al.
Published: (2025)

Style over Story: Measuring LLM Narrative Preferences via Structured Selection
by: Jung, Donghoon, et al.
Published: (2025)

SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder
by: Lee, Jaeseong, et al.
Published: (2024)

Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
by: Jiang, Yuxin, et al.
Published: (2024)

DGPO: Beyond Pairwise Preferences with Directional Consistent Groupwise Optimization
by: Deng, Mengyi, et al.
Published: (2026)

PHUMA: Physically-Grounded Humanoid Locomotion Dataset
by: Lee, Kyungmin, et al.
Published: (2025)

Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
by: Liu, Yinhong, et al.
Published: (2024)

Models Know Models Best: Evaluation via Model-Preferred Formats
by: Lee, Joonhak, et al.
Published: (2026)

Direct-Scoring NLG Evaluators Can Use Pairwise Comparisons Too
by: Lawrence, Logan, et al.
Published: (2025)