Imagen de Portada

Readme_AI: Dynamic Context Construction for Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Vyas, Millie, Blattner, Timothy, Dima, Alden
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

You've Changed: Detecting Modification of Black-Box Large Language Models
por: Dima, Alden, et al.
Publicado: (2025)

DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration
por: Zhang, Hanzhi, et al.
Publicado: (2025)

Large Language Models are In-Context Molecule Learners
por: Li, Jiatong, et al.
Publicado: (2024)

Mechanistic Decoding of Cognitive Constructs in Large Language Models
por: Shou, Yitong, et al.
Publicado: (2026)

DIP: Dynamic In-Context Planner For Diffusion Language Models
por: Li, Yang, et al.
Publicado: (2026)

Psychometric Predictive Power of Large Language Models
por: Kuribayashi, Tatsuki, et al.
Publicado: (2023)

Can AI Master Construction Management (CM)? Benchmarking State-of-the-Art Large Language Models on CM Certification Exams
por: Xiong, Ruoxin, et al.
Publicado: (2025)

SPRI: Aligning Large Language Models with Context-Situated Principles
por: Zhan, Hongli, et al.
Publicado: (2025)

Context-Aware Semantic Recomposition Mechanism for Large Language Models
por: Katrix, Richard, et al.
Publicado: (2025)

In Context Learning and Reasoning for Symbolic Regression with Large Language Models
por: Sharlin, Samiha, et al.
Publicado: (2024)

Towards Context-Invariant Safety Alignment for Large Language Models
por: Wang, Yixu, et al.
Publicado: (2026)

Natural Context Drift Undermines the Natural Language Understanding of Large Language Models
por: Wu, Yulong, et al.
Publicado: (2025)

Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models
por: Dima, George-Andrei, et al.
Publicado: (2025)

Evaluating List Construction and Temporal Understanding capabilities of Large Language Models
por: Dumitru, Alexandru, et al.
Publicado: (2025)

Measuring what Matters: Construct Validity in Large Language Model Benchmarks
por: Bean, Andrew M., et al.
Publicado: (2025)

LongSafety: Evaluating Long-Context Safety of Large Language Models
por: Lu, Yida, et al.
Publicado: (2025)

Steering Multimodal Large Language Models Decoding for Context-Aware Safety
por: Liu, Zheyuan, et al.
Publicado: (2025)

Do Large Language Models Understand Logic or Just Mimick Context?
por: Yan, Junbing, et al.
Publicado: (2024)

Methodology of Adapting Large English Language Models for Specific Cultural Contexts
por: Zhang, Wenjing, et al.
Publicado: (2024)

KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion
por: Wei, Yanbin, et al.
Publicado: (2024)

When Context Leads but Parametric Memory Follows in Large Language Models
por: Tao, Yufei, et al.
Publicado: (2024)

Dynamic Generation of Personalities with Large Language Models
por: Liu, Jianzhi, et al.
Publicado: (2024)

Generative Psycho-Lexical Approach for Constructing Value Systems in Large Language Models
por: Ye, Haoran, et al.
Publicado: (2025)

Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming
por: Nguyen, Manh Hung, et al.
Publicado: (2023)

Customized Information and Domain-centric Knowledge Graph Construction with Large Language Models
por: Wawrzik, Frank, et al.
Publicado: (2024)

DynaSpec: Context-aware Dynamic Speculative Sampling for Large-Vocabulary Language Models
por: Zhang, Jinbin, et al.
Publicado: (2025)

"Understanding AI": Semantic Grounding in Large Language Models
por: Lyre, Holger
Publicado: (2024)

Characteristic AI Agents via Large Language Models
por: Wang, Xi, et al.
Publicado: (2024)

Humanity in AI: Detecting the Personality of Large Language Models
por: Zhan, Baohua, et al.
Publicado: (2024)

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models
por: Moon, Hyeonseok, et al.
Publicado: (2025)

CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models
por: Sun, Guangzhi, et al.
Publicado: (2025)

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context
por: Zahran, Noureldin, et al.
Publicado: (2025)

Code-Switching In-Context Learning for Cross-Lingual Transfer of Large Language Models
por: Yoo, Haneul, et al.
Publicado: (2025)

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models
por: Xu, Ningyu, et al.
Publicado: (2026)

Resonance RoPE: Improving Context Length Generalization of Large Language Models
por: Wang, Suyuchen, et al.
Publicado: (2024)

To Trust or Not to Trust? Enhancing Large Language Models' Situated Faithfulness to External Contexts
por: Huang, Yukun, et al.
Publicado: (2024)

CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels
por: Wei, Lingxiao, et al.
Publicado: (2024)

Unveiling the Misuse Potential of Base Large Language Models via In-Context Learning
por: Wang, Xiao, et al.
Publicado: (2024)

From Symbolic to Natural-Language Relations: Rethinking Knowledge Graph Construction in the Era of Large Language Models
por: Han, Kanyao, et al.
Publicado: (2026)

Large Language Models are Miscalibrated In-Context Learners
por: Li, Chengzu, et al.
Publicado: (2023)