Image de couverture de livre

DepthCharge: A Domain-Agnostic Framework for Measuring Depth-Dependent Knowledge in Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Sheppert, Alexander
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
par: Jin, Mingyu, et autres
Publié: (2024)

Do Depth-Grown Models Overcome the Curse of Depth? An In-Depth Analysis
par: Kapl, Ferdinand, et autres
Publié: (2025)

The Depth Ceiling: On the Limits of Large Language Models in Discovering Latent Planning
par: Xu, Yi, et autres
Publié: (2026)

MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
par: Liu, Akide, et autres
Publié: (2024)

Measuring the Depth of LLM Unlearning via Activation Patching
par: Lee, Jaeung, et autres
Publié: (2026)

HORAE: A Domain-Agnostic Language for Automated Service Regulation
par: Sun, Yutao, et autres
Publié: (2024)

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
par: Kim, Dahyun, et autres
Publié: (2023)

Large Language Models in Fire Engineering: An Examination of Technical Questions Against Domain Knowledge
par: Hostetter, Haley, et autres
Publié: (2024)

A Dual-Space Framework for General Knowledge Distillation of Large Language Models
par: Zhang, Xue, et autres
Publié: (2025)

KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models
par: Yu, Zhuohao, et autres
Publié: (2024)

SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs
par: Chen, Hanzhu, et autres
Publié: (2024)

KDFlow: A User-Friendly and Efficient Knowledge Distillation Framework for Large Language Models
par: Zhang, Songming, et autres
Publié: (2026)

WorDepth: Variational Language Prior for Monocular Depth Estimation
par: Zeng, Ziyao, et autres
Publié: (2024)

Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations
par: Shi, Zhan, et autres
Publié: (2025)

A Sea of Words: An In-Depth Analysis of Anchors for Text Data
par: Lopardo, Gianluigi, et autres
Publié: (2022)

Knowledge Boundary Discovery for Large Language Models
par: Wang, Ziquan, et autres
Publié: (2026)

Delta Knowledge Distillation for Large Language Models
par: Cao, Yihan, et autres
Publié: (2025)

Agnostic Language Identification and Generation
par: Høgsgaard, Mikael Møller, et autres
Publié: (2026)

Diversity Measures: Domain-Independent Proxies for Failure in Language Model Queries
par: Ngu, Noel, et autres
Publié: (2023)

KScope: A Framework for Characterizing the Knowledge Status of Language Models
par: Xiao, Yuxin, et autres
Publié: (2025)

Measuring Social Norms of Large Language Models
par: Yuan, Ye, et autres
Publié: (2024)

Latent Chain-of-Thought? Decoding the Depth-Recurrent Transformer
par: Lu, Wenquan, et autres
Publié: (2025)

Knowledge Editing on Black-box Large Language Models
par: Song, Xiaoshuai, et autres
Publié: (2024)

Knowledge-based Consistency Testing of Large Language Models
par: Rajan, Sai Sathiesh, et autres
Publié: (2024)

Label-semantics Aware Generative Approach for Domain-Agnostic Multilabel Classification
par: Khatuya, Subhendu, et autres
Publié: (2025)

Thinking Deeper, Not Longer: Depth-Recurrent Transformers for Compositional Generalization
par: Chen, Hung-Hsuan
Publié: (2026)

Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers
par: Kohli, Harsh, et autres
Publié: (2026)

Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers
par: Yehudai, Gilad, et autres
Publié: (2025)

Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework
par: Liu, Lingyuan, et autres
Publié: (2025)

Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
par: Liu, Xiaoze, et autres
Publié: (2024)

KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs
par: Zheng, Shangshang, et autres
Publié: (2023)

Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level
par: Feng, Zhaopeng, et autres
Publié: (2024)

KOCO-BENCH: Can Large Language Models Leverage Domain Knowledge in Software Development?
par: Jiang, Xue, et autres
Publié: (2026)

Temperature-Dependent Performance of Prompting Strategies in Extended Reasoning Large Language Models
par: Salah, Mousa, et autres
Publié: (2026)

Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models
par: Guo, Zhiyu, et autres
Publié: (2024)

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
par: Matton, Katie, et autres
Publié: (2025)

Depth-Recurrent Attention Mixtures: Giving Latent Reasoning the Attention it Deserves
par: Knupp, Jonas, et autres
Publié: (2026)

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
par: Lin, Yujie, et autres
Publié: (2026)

Knowledge Fusion of Large Language Models Via Modular SkillPacks
par: Du, Guodong, et autres
Publié: (2025)

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
par: Huang, Yukun, et autres
Publié: (2025)