Guardado en:
| Autor principal: | Lyre, Holger |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2402.10992 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Evaluating Semantic and Syntactic Understanding in Large Language Models for Payroll Systems
por: Maclean, Hendrika, et al.
Publicado: (2026)
por: Maclean, Hendrika, et al.
Publicado: (2026)
Knowledge-Grounded Agentic Large Language Models for Multi-Hazard Understanding from Reconnaissance Reports
por: Kuai, Chenchen, et al.
Publicado: (2025)
por: Kuai, Chenchen, et al.
Publicado: (2025)
On the Semantics of Large Language Models
por: Schuele, Martin
Publicado: (2025)
por: Schuele, Martin
Publicado: (2025)
Enhancing Building Semantics Preservation in AI Model Training with Large Language Model Encodings
por: Jang, Suhyung, et al.
Publicado: (2026)
por: Jang, Suhyung, et al.
Publicado: (2026)
Potemkin Understanding in Large Language Models
por: Mancoridis, Marina, et al.
Publicado: (2025)
por: Mancoridis, Marina, et al.
Publicado: (2025)
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI
por: Bokstaller, Jonas, et al.
Publicado: (2025)
por: Bokstaller, Jonas, et al.
Publicado: (2025)
Semantic Structure in Large Language Model Embeddings
por: Kozlowski, Austin C., et al.
Publicado: (2025)
por: Kozlowski, Austin C., et al.
Publicado: (2025)
Towards Universal Semantics With Large Language Models
por: Baartmans, Raymond, et al.
Publicado: (2025)
por: Baartmans, Raymond, et al.
Publicado: (2025)
Emergent Semantic Role Understanding in Language Models
por: Griffiths, Carla, et al.
Publicado: (2026)
por: Griffiths, Carla, et al.
Publicado: (2026)
Improving Semantic Understanding in Speech Language Models via Brain-tuning
por: Moussa, Omer, et al.
Publicado: (2024)
por: Moussa, Omer, et al.
Publicado: (2024)
Assessing and Understanding Creativity in Large Language Models
por: Zhao, Yunpu, et al.
Publicado: (2024)
por: Zhao, Yunpu, et al.
Publicado: (2024)
Evaluating Spatial Understanding of Large Language Models
por: Yamada, Yutaro, et al.
Publicado: (2023)
por: Yamada, Yutaro, et al.
Publicado: (2023)
Understanding the Dilemma of Unlearning for Large Language Models
por: Zhang, Qingjie, et al.
Publicado: (2025)
por: Zhang, Qingjie, et al.
Publicado: (2025)
Mechanistic Indicators of Understanding in Large Language Models
por: Beckmann, Pierre, et al.
Publicado: (2025)
por: Beckmann, Pierre, et al.
Publicado: (2025)
How Well Do Large Language Models Truly Ground?
por: Lee, Hyunji, et al.
Publicado: (2023)
por: Lee, Hyunji, et al.
Publicado: (2023)
Think$^{2}$: Grounded Metacognitive Reasoning in Large Language Models
por: Elenjical, Abraham Paul, et al.
Publicado: (2026)
por: Elenjical, Abraham Paul, et al.
Publicado: (2026)
Semantic-guided Diverse Decoding for Large Language Model
por: Shi, Weijie, et al.
Publicado: (2025)
por: Shi, Weijie, et al.
Publicado: (2025)
Using Large Language Models to Understand Telecom Standards
por: Karapantelakis, Athanasios, et al.
Publicado: (2024)
por: Karapantelakis, Athanasios, et al.
Publicado: (2024)
Metacognitive Prompting Improves Understanding in Large Language Models
por: Wang, Yuqing, et al.
Publicado: (2023)
por: Wang, Yuqing, et al.
Publicado: (2023)
Do Large Language Models Understand Word Senses?
por: Meconi, Domenico, et al.
Publicado: (2025)
por: Meconi, Domenico, et al.
Publicado: (2025)
Large Language Models Understanding: an Inherent Ambiguity Barrier
por: Nissani, Daniel N.
Publicado: (2025)
por: Nissani, Daniel N.
Publicado: (2025)
Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models
por: Xiong, Guangzhi, et al.
Publicado: (2024)
por: Xiong, Guangzhi, et al.
Publicado: (2024)
Learning Fine-Grained Grounded Citations for Attributed Large Language Models
por: Huang, Lei, et al.
Publicado: (2024)
por: Huang, Lei, et al.
Publicado: (2024)
Plan-Grounded Large Language Models for Dual Goal Conversational Settings
por: Glória-Silva, Diogo, et al.
Publicado: (2024)
por: Glória-Silva, Diogo, et al.
Publicado: (2024)
"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models
por: Tao, Yufei, et al.
Publicado: (2025)
por: Tao, Yufei, et al.
Publicado: (2025)
Preservation of Language Understanding Capabilities in Speech-aware Large Language Models
por: Kubis, Marek, et al.
Publicado: (2025)
por: Kubis, Marek, et al.
Publicado: (2025)
Large Language Models Preserve Semantic Isotopies in Story Continuations
por: Cavazza, Marc
Publicado: (2025)
por: Cavazza, Marc
Publicado: (2025)
Semantic Representation Attack against Aligned Large Language Models
por: Lian, Jiawei, et al.
Publicado: (2025)
por: Lian, Jiawei, et al.
Publicado: (2025)
Context-Aware Semantic Recomposition Mechanism for Large Language Models
por: Katrix, Richard, et al.
Publicado: (2025)
por: Katrix, Richard, et al.
Publicado: (2025)
From Superficial Patterns to Semantic Understanding: Fine-Tuning Language Models on Contrast Sets
por: Petrov, Daniel
Publicado: (2025)
por: Petrov, Daniel
Publicado: (2025)
Semantic Consistency for Assuring Reliability of Large Language Models
por: Raj, Harsh, et al.
Publicado: (2023)
por: Raj, Harsh, et al.
Publicado: (2023)
Modeling Understanding of Story-Based Analogies Using Large Language Models
por: Inani, Kalit, et al.
Publicado: (2025)
por: Inani, Kalit, et al.
Publicado: (2025)
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
por: Qiu, Xin, et al.
Publicado: (2024)
por: Qiu, Xin, et al.
Publicado: (2024)
Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models
por: Yue, Linan, et al.
Publicado: (2024)
por: Yue, Linan, et al.
Publicado: (2024)
Understanding Privacy Risks of Embeddings Induced by Large Language Models
por: Zhu, Zhihao, et al.
Publicado: (2024)
por: Zhu, Zhihao, et al.
Publicado: (2024)
Toward Understanding the Transferability of Adversarial Suffixes in Large Language Models
por: Ball, Sarah, et al.
Publicado: (2025)
por: Ball, Sarah, et al.
Publicado: (2025)
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning
por: Hu, Bokai, et al.
Publicado: (2024)
por: Hu, Bokai, et al.
Publicado: (2024)
Natural Context Drift Undermines the Natural Language Understanding of Large Language Models
por: Wu, Yulong, et al.
Publicado: (2025)
por: Wu, Yulong, et al.
Publicado: (2025)
Enhancing Action and Ingredient Modeling for Semantically Grounded Recipe Generation
por: Liu, Guoshan, et al.
Publicado: (2026)
por: Liu, Guoshan, et al.
Publicado: (2026)
Source-Grounded Semantic Reinforcement Learning for Low-Resource Target-Language Generation
por: Su, Zeli, et al.
Publicado: (2026)
por: Su, Zeli, et al.
Publicado: (2026)
Ejemplares similares
-
Evaluating Semantic and Syntactic Understanding in Large Language Models for Payroll Systems
por: Maclean, Hendrika, et al.
Publicado: (2026) -
Knowledge-Grounded Agentic Large Language Models for Multi-Hazard Understanding from Reconnaissance Reports
por: Kuai, Chenchen, et al.
Publicado: (2025) -
On the Semantics of Large Language Models
por: Schuele, Martin
Publicado: (2025) -
Enhancing Building Semantics Preservation in AI Model Training with Large Language Model Encodings
por: Jang, Suhyung, et al.
Publicado: (2026) -
Potemkin Understanding in Large Language Models
por: Mancoridis, Marina, et al.
Publicado: (2025)