:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kim, Kyungmin, Im, SangHun, Kim, GiBaeg, Oh, Heung-Seon
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2501.02739
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enabling Automatic Self-Talk Detection via Earables
by: Lee, Euihyeok, et al.
Published: (2025)

Hallucination Diversity-Aware Active Learning for Text Summarization
by: Xia, Yu, et al.
Published: (2024)

Text Knows What, Tables Know When: Clinical Timeline Reconstruction via Retrieval-Augmented Multimodal Alignment
by: Kumar, Sayantan, et al.
Published: (2026)

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach
by: Oh, Changdae, et al.
Published: (2025)

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

Reflection-Window Decoding: Text Generation with Selective Refinement
by: Tang, Zeyu, et al.
Published: (2025)

CERET: Cost-Effective Extrinsic Refinement for Text Generation
by: Cai, Jason, et al.
Published: (2024)

Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models
by: Kim, Jaemin, et al.
Published: (2026)

AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction
by: Kim, Junsol, et al.
Published: (2023)

DiZiNER: Disagreement-guided Instruction Refinement via Pilot Annotation Simulation for Zero-shot Named Entity Recognition
by: Kim, Siun, et al.
Published: (2026)

Efficient Real-time Refinement of Language Model Text Generation
by: Ko, Joonho, et al.
Published: (2025)

PDE-regularized Dynamics-informed Diffusion with Uncertainty-aware Filtering for Long-Horizon Dynamics
by: Baeg, Min Young, et al.
Published: (2026)

Text-guided Controllable Mesh Refinement for Interactive 3D Modeling
by: Chen, Yun-Chun, et al.
Published: (2024)

Diversity Boosts AI-Generated Text Detection
by: Basani, Advik Raj, et al.
Published: (2025)

IndiText Boost: Text Augmentation for Low Resource India Languages
by: Litake, Onkar, et al.
Published: (2024)

Diversity-oriented Data Augmentation with Large Language Models
by: Wang, Zaitian, et al.
Published: (2025)

SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
by: Divekar, Abhishek, et al.
Published: (2024)

Reasoning-Based Refinement of Unsupervised Text Clusters with LLMs
by: Islam, Tunazzina
Published: (2026)

Factor Augmented Supervised Learning with Text Embeddings
by: Luo, Zhanye, et al.
Published: (2025)

RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
by: Liu, Wanlong, et al.
Published: (2024)

Value Augmented Sampling for Language Model Alignment and Personalization
by: Han, Seungwook, et al.
Published: (2024)

AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
by: Koh, Woosung, et al.
Published: (2025)

BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization
by: Lee, Gihun, et al.
Published: (2024)

MeKi: Memory-based Expert Knowledge Injection for Efficient LLM Scaling
by: Ding, Ning, et al.
Published: (2026)

How Prompts Move Language Model Behavior: Frames, Salience, and Construal as Semantic Control
by: Kim, Dongseok, et al.
Published: (2025)

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL
by: Baek, Jinheon, et al.
Published: (2025)

SynC: Synthetic Image Caption Dataset Refinement with One-to-many Mapping for Zero-shot Image Captioning
by: Kim, Si-Woo, et al.
Published: (2025)

DiffSampling: Enhancing Diversity and Accuracy in Neural Text Generation
by: Franceschelli, Giorgio, et al.
Published: (2025)

Correcting Mean Bias in Text Embeddings: A Refined Renormalization with Training-Free Improvements on MMTEB
by: Ren, Xingyu, et al.
Published: (2025)

Let Multimodal Embedders Learn When to Augment Query via Adaptive Query Augmentation
by: Kim, Wongyu, et al.
Published: (2025)

OmniStruct: Universal Text-to-Structure Generation across Diverse Schemas
by: Huang, James Y., et al.
Published: (2025)

Towards Verifiable Text Generation with Symbolic References
by: Hennigen, Lucas Torroba, et al.
Published: (2023)

Augmenting Human Evaluation with LLM Judges: How Many Human Reviews Do You Need?
by: Kim, Jane Paik
Published: (2026)

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation
by: Kim, Eunsu, et al.
Published: (2025)

RASL: Retrieval Augmented Schema Linking for Massive Database Text-to-SQL
by: Eben, Jeffrey, et al.
Published: (2025)

Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation
by: Jin, Kyohoon, et al.
Published: (2024)

ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning
by: Kim, Taewhan, et al.
Published: (2024)

Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts
by: Jinnai, Yuu, et al.
Published: (2024)

PrAg-PO: Prompt Augmented Policy Optimization for Robust and Diverse Mathematical Reasoning
by: Lu, Wenquan, et al.
Published: (2026)

UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities
by: Yeo, Woongyeong, et al.
Published: (2025)