:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kim, Wonyoung, Seo, Sujeong, Lee, Juhyun
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning 68T09
Online Access:	https://arxiv.org/abs/2509.09724
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MPRU: Modular Projection-Redistribution Unlearning as Output Filter for Classification Pipelines
by: Peng, Minyi, et al.
Published: (2025)

Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias
by: Jähde, Orlando, et al.
Published: (2025)

Sliced-Wasserstein Distribution Alignment Loss Improves the Ultra-Low-Bit Quantization of Large Language Models
by: Cao, Deyu, et al.
Published: (2026)

Enhancing Reasoning to Adapt Large Language Models for Domain-Specific Applications
by: Wen, Bo, et al.
Published: (2025)

CancerKG.ORG A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care
by: Gubanov, Michael, et al.
Published: (2024)

LAMBDA: A Large Model Based Data Agent
by: Sun, Maojun, et al.
Published: (2024)

Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning
by: Seo, Yeongbin, et al.
Published: (2025)

Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids
by: Pasini, Massimiliano Lupo, et al.
Published: (2026)

VLM@school -- Evaluation of AI image understanding on German middle school knowledge
by: Peinl, René, et al.
Published: (2025)

HEDGE: Hallucination Estimation via Dense Geometric Entropy for VQA with Vision-Language Models
by: Gautam, Sushant, et al.
Published: (2025)

What is the $\textit{intrinsic}$ dimension of your binary data? -- and how to compute it quickly
by: Hanika, Tom, et al.
Published: (2024)

Log2Plan: An Adaptive GUI Automation Framework Integrated with Task Mining Approach
by: Lee, Seoyoung, et al.
Published: (2025)

EZ-Sort: Efficient Pairwise Comparison via Zero-Shot CLIP-Based Pre-Ordering and Human-in-the-Loop Sorting
by: Park, Yujin, et al.
Published: (2025)

Classifier-Augmented Generation for Structured Workflow Prediction
by: Gschwind, Thomas, et al.
Published: (2025)

Watermarking Large Language Models in Europe: Interpreting the AI Act in Light of Technology
by: Souverain, Thomas
Published: (2025)

HInter: Exposing Hidden Intersectional Bias in Large Language Models
by: Souani, Badr, et al.
Published: (2025)

OPENXRD: A Comprehensive Benchmark Framework for LLM/MLLM XRD Question Answering
by: Vosoughi, Ali, et al.
Published: (2025)

Integrated Framework for LLM Evaluation with Answer Generation
by: Lee, Sujeong, et al.
Published: (2025)

A Primer on Large Language Models and their Limitations
by: Johnson, Sandra, et al.
Published: (2024)

Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research
by: Hille, Tobias, et al.
Published: (2024)

Segmentation variability and radiomics stability for predicting Triple-Negative Breast Cancer subtype using Magnetic Resonance Imaging
by: Cama, Isabella, et al.
Published: (2025)

SwiftDossier: Tailored Automatic Dossier for Drug Discovery with LLMs and Agents
by: Fossi, Gabriele, et al.
Published: (2024)

A Comprehensive Guide to Differential Privacy: From Theory to User Expectations
by: Karmitsa, Napsu, et al.
Published: (2025)

Biomedical Visual Instruction Tuning with Clinician Preference Alignment
by: Cui, Hejie, et al.
Published: (2024)

Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models
by: Truong, Sang T., et al.
Published: (2024)

Leveraging Imperfection with MEDLEY A Multi-Model Approach Harnessing Bias in Medical AI
by: Abtahi, Farhad, et al.
Published: (2025)

A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises
by: Cui, Hejie, et al.
Published: (2023)

Enhancing Ultra-Low-Bit Quantization of Large Language Models Through Saliency-Aware Partial Retraining
by: Cao, Deyu, et al.
Published: (2025)

CLMN: Concept based Language Models via Neural Symbolic Reasoning
by: Yang, Yibo
Published: (2025)

Many Preferences, Few Policies: Towards Scalable Language Model Personalization
by: Kim, Cheol Woo, et al.
Published: (2026)

KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation
by: Xu, Weijie, et al.
Published: (2023)

Proximity-Based Evidence Retrieval for Uncertainty-Aware Neural Networks
by: Gharoun, Hassan, et al.
Published: (2025)

ExpliCa: Evaluating Explicit Causal Reasoning in Large Language Models
by: Miliani, Martina, et al.
Published: (2025)

Deep Outdated Fact Detection in Knowledge Graphs
by: Tu, Huiling, et al.
Published: (2024)

TiCard: Deployable EXPLAIN-only Residual Learning for Cardinality Estimation
by: Wang, Qizhi
Published: (2025)

Are we chasing ghosts? Quantifying unattributable polarization, and attributing the rest to annotator groups
by: Tsirmpas, Dimitris, et al.
Published: (2026)

Discovering Forbidden Topics in Language Models
by: Rager, Can, et al.
Published: (2025)

S2vNTM: Semi-supervised vMF Neural Topic Modeling
by: Xu, Weijie, et al.
Published: (2023)

Semantic Needles in Document Haystacks: Sensitivity Testing of LLM-as-a-Judge Similarity Scoring
by: Aksoy, Sinan G., et al.
Published: (2026)

Transforming and Combining Rewards for Aligning Large Language Models
by: Wang, Zihao, et al.
Published: (2024)