Tracing Relational Knowledge Recall in Large Language Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Popovič, Nicholas, Färber, Michael |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass
por: Popovič, Nicholas, et al.
Publicado: (2025)
por: Popovič, Nicholas, et al.
Publicado: (2025)
Embedded Named Entity Recognition using Probing Classifiers
por: Popovič, Nicholas, et al.
Publicado: (2024)
por: Popovič, Nicholas, et al.
Publicado: (2024)
Benchmarking Uncertainty Calibration in Large Language Model Long-Form Question Answering
por: Müller, Philip, et al.
Publicado: (2026)
por: Müller, Philip, et al.
Publicado: (2026)
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction
por: Rogulsky, Steven, et al.
Publicado: (2024)
por: Rogulsky, Steven, et al.
Publicado: (2024)
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations
por: Popovič, Nicholas, et al.
Publicado: (2025)
por: Popovič, Nicholas, et al.
Publicado: (2025)
Functional Abstraction of Knowledge Recall in Large Language Models
por: Wang, Zijian, et al.
Publicado: (2025)
por: Wang, Zijian, et al.
Publicado: (2025)
Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery
por: Susanti, Yuni, et al.
Publicado: (2024)
por: Susanti, Yuni, et al.
Publicado: (2024)
Analyzing Bias in False Refusal Behavior of Large Language Models for Hate Speech Detoxification
por: Im, Kyuri, et al.
Publicado: (2026)
por: Im, Kyuri, et al.
Publicado: (2026)
Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models
por: Nie, Ercong, et al.
Publicado: (2024)
por: Nie, Ercong, et al.
Publicado: (2024)
Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models
por: Schreieder, Tobias, et al.
Publicado: (2025)
por: Schreieder, Tobias, et al.
Publicado: (2025)
Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction
por: Ding, Zepeng, et al.
Publicado: (2024)
por: Ding, Zepeng, et al.
Publicado: (2024)
From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks
por: Yuan, Shuzhou, et al.
Publicado: (2025)
por: Yuan, Shuzhou, et al.
Publicado: (2025)
Tracing Pharmacological Knowledge In Large Language Models
por: Khwaja, Basil Hasan, et al.
Publicado: (2026)
por: Khwaja, Basil Hasan, et al.
Publicado: (2026)
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
por: Wang, Yifei, et al.
Publicado: (2024)
por: Wang, Yifei, et al.
Publicado: (2024)
MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering
por: Vladika, Juraj, et al.
Publicado: (2024)
por: Vladika, Juraj, et al.
Publicado: (2024)
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers
por: Yuan, Shuzhou, et al.
Publicado: (2024)
por: Yuan, Shuzhou, et al.
Publicado: (2024)
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism
por: Yuan, Shuzhou, et al.
Publicado: (2024)
por: Yuan, Shuzhou, et al.
Publicado: (2024)
Dated Data: Tracing Knowledge Cutoffs in Large Language Models
por: Cheng, Jeffrey, et al.
Publicado: (2024)
por: Cheng, Jeffrey, et al.
Publicado: (2024)
MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMs
por: Qu, Zhan, et al.
Publicado: (2025)
por: Qu, Zhan, et al.
Publicado: (2025)
Evaluating Contextually Mediated Factual Recall in Multilingual Large Language Models
por: Liu, Yihong, et al.
Publicado: (2026)
por: Liu, Yihong, et al.
Publicado: (2026)
What Matters in Memorizing and Recalling Facts? Multifaceted Benchmarks for Knowledge Probing in Language Models
por: Zhao, Xin, et al.
Publicado: (2024)
por: Zhao, Xin, et al.
Publicado: (2024)
Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery
por: Susanti, Yuni, et al.
Publicado: (2025)
por: Susanti, Yuni, et al.
Publicado: (2025)
CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation
por: Yuan, Shuzhou, et al.
Publicado: (2025)
por: Yuan, Shuzhou, et al.
Publicado: (2025)
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering
por: Subramanian, Anand, et al.
Publicado: (2024)
por: Subramanian, Anand, et al.
Publicado: (2024)
Large Language Model Recall Uncertainty is Modulated by the Fan Effect
por: Roberts, Jesse, et al.
Publicado: (2024)
por: Roberts, Jesse, et al.
Publicado: (2024)
Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models
por: Yuan, Shuzhou, et al.
Publicado: (2025)
por: Yuan, Shuzhou, et al.
Publicado: (2025)
Event Segmentation Applications in Large Language Model Enabled Automated Recall Assessments
por: Panela, Ryan A., et al.
Publicado: (2025)
por: Panela, Ryan A., et al.
Publicado: (2025)
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
por: Yuan, Shuzhou, et al.
Publicado: (2024)
por: Yuan, Shuzhou, et al.
Publicado: (2024)
Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Task
por: Lee, Unggi, et al.
Publicado: (2024)
por: Lee, Unggi, et al.
Publicado: (2024)
GenRecal: Generation after Recalibration from Large to Small Vision-Language Models
por: Lee, Byung-Kwan, et al.
Publicado: (2025)
por: Lee, Byung-Kwan, et al.
Publicado: (2025)
Self-Guided Function Calling in Large Language Models via Stepwise Experience Recall
por: Cui, Sijia, et al.
Publicado: (2025)
por: Cui, Sijia, et al.
Publicado: (2025)
Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models
por: Liu, Xiyu, et al.
Publicado: (2024)
por: Liu, Xiyu, et al.
Publicado: (2024)
Time Awareness in Large Language Models: Benchmarking Fact Recall Across Time
por: Herel, David, et al.
Publicado: (2024)
por: Herel, David, et al.
Publicado: (2024)
Does Self-Consistency Improve the Recall of Encyclopedic Knowledge?
por: Hoshino, Sho, et al.
Publicado: (2026)
por: Hoshino, Sho, et al.
Publicado: (2026)
Microstructures and Accuracy of Graph Recall by Large Language Models
por: Wang, Yanbang, et al.
Publicado: (2024)
por: Wang, Yanbang, et al.
Publicado: (2024)
Understanding Fact Recall in Language Models: Why Two-Stage Training Encourages Memorization but Mixed Training Teaches Knowledge
por: Zhang, Ying, et al.
Publicado: (2025)
por: Zhang, Ying, et al.
Publicado: (2025)
Traces of Social Competence in Large Language Models
por: Kouwenhoven, Tom, et al.
Publicado: (2026)
por: Kouwenhoven, Tom, et al.
Publicado: (2026)
The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models
por: Pradeep, Ronak, et al.
Publicado: (2025)
por: Pradeep, Ronak, et al.
Publicado: (2025)
Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
por: Gekhman, Zorik, et al.
Publicado: (2026)
por: Gekhman, Zorik, et al.
Publicado: (2026)
Understanding and Enhancing Mamba-Transformer Hybrids for Memory Recall and Language Modeling
por: Lee, Hyunji, et al.
Publicado: (2025)
por: Lee, Hyunji, et al.
Publicado: (2025)
Ejemplares similares
-
Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass
por: Popovič, Nicholas, et al.
Publicado: (2025) -
Embedded Named Entity Recognition using Probing Classifiers
por: Popovič, Nicholas, et al.
Publicado: (2024) -
Benchmarking Uncertainty Calibration in Large Language Model Long-Form Question Answering
por: Müller, Philip, et al.
Publicado: (2026) -
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction
por: Rogulsky, Steven, et al.
Publicado: (2024) -
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations
por: Popovič, Nicholas, et al.
Publicado: (2025)