:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kang, Yu-Chen, Tang, Yu-Chien, Yen, An-Zi
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2603.24073
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VISTA: A Generative Egocentric Video Framework for Daily Assistance
by: Liu, Yu-Hsiang, et al.
Published: (2026)

OI-Bench: An Option Injection Benchmark for Evaluating LLM Susceptibility to Directive Interference
by: Liou, Yow-Fu, et al.
Published: (2026)

MathEDU: Feedback Generation on Problem-Solving Processes for Mathematical Learning Support
by: Hsu, Wei-Ling, et al.
Published: (2025)

Stay Hungry, Stay Foolish: On the Extended Reading Articles Generation with LLMs
by: Liou, Yow-Fu, et al.
Published: (2025)

PICKT: Practical Interlinked Concept Knowledge Tracing for Personalized Learning using Knowledge Map Concept Relations
by: Lee, Wonbeen, et al.
Published: (2025)

Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
by: Ozyurt, Yilmazcan, et al.
Published: (2024)

CARPAS: Towards Content-Aware Refinement of Provided Aspects for Summarization in Large Language Models
by: Tian, Yong-En, et al.
Published: (2025)

ColorConceptBench: A Benchmark for Probabilistic Color-Concept Understanding in Text-to-Image Models
by: Ruan, Chenxi, et al.
Published: (2026)

Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer
by: Han, Wenkang, et al.
Published: (2025)

LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction
by: Wang, Ziwei, et al.
Published: (2025)

Automate Knowledge Concept Tagging on Math Questions with LLMs
by: Li, Hang, et al.
Published: (2024)

CLUE: Concept-Level Uncertainty Estimation for Large Language Models
by: Wang, Yu-Hsiang, et al.
Published: (2024)

Beyond Tokens: Concept-Level Training Objectives for LLMs
by: Iyer, Laya, et al.
Published: (2026)

MedConceptsQA: Open Source Medical Concepts QA Benchmark
by: Shoham, Ofir Ben, et al.
Published: (2024)

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
by: Jin, Mingyu, et al.
Published: (2024)

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery
by: Yu, Xuemin, et al.
Published: (2026)

ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models
by: Wu, Yanan, et al.
Published: (2024)

ISSR: Iterative Selection with Self-Review for Vocabulary Test Distractor Generation
by: Liu, Yu-Cheng, et al.
Published: (2025)

How We Refute Claims: Automatic Fact-Checking through Flaw Identification and Explanation
by: Kao, Wei-Yu, et al.
Published: (2024)

AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing
by: Fu, Lingyue, et al.
Published: (2025)

Benchmarking Concept-Spilling Across Languages in LLMs
by: Badanin, Ilia, et al.
Published: (2026)

An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
by: Jin, Chen, et al.
Published: (2023)

CLIF: Concept-Level Influence Functions for Transparent Bottleneck Models
by: Sun, Yike, et al.
Published: (2026)

Latent Concept-based Explanation of NLP Models
by: Yu, Xuemin, et al.
Published: (2024)

Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base
by: Song, Linxin, et al.
Published: (2025)

Concept-Level Explainability for Auditing & Steering LLM Responses
by: Amara, Kenza, et al.
Published: (2025)

ConceptPsy:A Benchmark Suite with Conceptual Comprehensiveness in Psychology
by: Zhang, Junlei, et al.
Published: (2023)

What are They Thinking? Delineation, Probing and Tracking of Concepts in LLMs
by: Abdelwahab, Mohamed, et al.
Published: (2026)

Improving Latent Reasoning in LLMs via Soft Concept Mixing
by: Wang, Kang, et al.
Published: (2025)

PST-Bench: Tracing and Benchmarking the Source of Publications
by: Zhang, Fanjin, et al.
Published: (2024)

MoKus: Leveraging Cross-Modal Knowledge Transfer for Knowledge-Aware Concept Customization
by: Zhu, Chenyang, et al.
Published: (2026)

Conversations as a Source for Teaching Scientific Concepts at Different Education Levels
by: Rooein, Donya, et al.
Published: (2024)

Towards Achieving Concept Completeness for Textual Concept Bottleneck Models
by: Bhan, Milan, et al.
Published: (2025)

Tracing the Development of the Virtual Particle Concept Using Semantic Change Detection
by: Zichert, Michael, et al.
Published: (2024)

LLM Pretraining with Continuous Concepts
by: Tack, Jihoon, et al.
Published: (2025)

Do You Get the Hint? Benchmarking LLMs on the Board Game Concept
by: Gevers, Ine, et al.
Published: (2025)

RouterKT: Mixture-of-Experts for Knowledge Tracing
by: Liao, Han, et al.
Published: (2025)

Is Your LLM Really Mastering the Concept? A Multi-Agent Benchmark
by: Xu, Shuhang, et al.
Published: (2025)

Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs
by: Wei, Yifan, et al.
Published: (2025)

ConceptViz: A Visual Analytics Approach for Exploring Concepts in Large Language Models
by: Li, Haoxuan, et al.
Published: (2025)