:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autor principal:	Cisneros-Velarde, Pedro
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2602.06260
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Large Language Models can Achieve Social Balance
por: Cisneros-Velarde, Pedro
Publicado: (2024)

Can Large Language Models perform Relation-based Argument Mining?
por: Gorur, Deniz, et al.
Publicado: (2024)

Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models
por: Zhou, Kevin, et al.
Publicado: (2025)

Policy Compliance of User Requests in Natural Language for AI Systems
por: Cisneros-Velarde, Pedro
Publicado: (2026)

Are Large Language Models Reliable Argument Quality Annotators?
por: Mirzakhmedova, Nailia, et al.
Publicado: (2024)

ArgLLM-App: An Interactive System for Argumentative Reasoning with Large Language Models
por: Dejl, Adam, et al.
Publicado: (2026)

CLEAR: A Comprehensive Linguistic Evaluation of Argument Rewriting by Large Language Models
por: Huber, Thomas, et al.
Publicado: (2025)

What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models
por: Yun, Tian, et al.
Publicado: (2025)

Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Models
por: Yeginbergen, Anar, et al.
Publicado: (2025)

Argumentative Large Language Models for Explainable and Contestable Claim Verification
por: Freedman, Gabriel, et al.
Publicado: (2024)

MArgE: Meshing Argumentative Evidence from Multiple Large Language Models for Justifiable Claim Verification
por: Ng, Ming Pok, et al.
Publicado: (2025)

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

Can Large Language Models do Analytical Reasoning?
por: Hu, Yebowen, et al.
Publicado: (2024)

A Unified Assessment of the Poverty of the Stimulus Argument for Neural Language Models
por: Yang, Xiulin, et al.
Publicado: (2026)

Side-by-side Comparison Amplifies Dialect Bias in Language Models
por: Kondapally, Kritee, et al.
Publicado: (2026)

Understanding Enthymemes in Argument Maps: Bridging Argument Mining and Logic-based Argumentation
por: Ben-Naim, Jonathan, et al.
Publicado: (2024)

Challenges and Responses in the Practice of Large Language Models
por: Zhu, Hongyin
Publicado: (2024)

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
por: Wang, Jingyuan, et al.
Publicado: (2025)

Can Large Language Models Predict the Outcome of Judicial Decisions?
por: Kmainasi, Mohamed Bayan, et al.
Publicado: (2025)

THiNK: Can Large Language Models Think-aloud?
por: Yu, Yongan, et al.
Publicado: (2025)

Can Large Language Models Express Uncertainty Like Human?
por: Tao, Linwei, et al.
Publicado: (2025)

Break the Chain: Large Language Models Can be Shortcut Reasoners
por: Ding, Mengru, et al.
Publicado: (2024)

Bypassing Safety Guardrails in LLMs Using Humor
por: Cisneros-Velarde, Pedro
Publicado: (2025)

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation
por: Savigny, Henri, et al.
Publicado: (2025)

Large Language Models Produce Responses Perceived to be Empathic
por: Lee, Yoon Kyung, et al.
Publicado: (2024)

Enhancing Human-Like Responses in Large Language Models
por: Çalık, Ethem Yağız, et al.
Publicado: (2025)

All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning
por: Zhang, Caiqi, et al.
Publicado: (2025)

Can Large Language Models Understand Real-World Complex Instructions?
por: He, Qianyu, et al.
Publicado: (2023)

Large Language Models Can Self-Improve in Long-context Reasoning
por: Li, Siheng, et al.
Publicado: (2024)

Importance Weighting Can Help Large Language Models Self-Improve
por: Jiang, Chunyang, et al.
Publicado: (2024)

Self-HarmLLM: Can Large Language Model Harm Itself?
por: Kim, Heehwan, et al.
Publicado: (2025)

Can Large Language Models Predict Associations Among Human Attitudes?
por: Ma, Ana, et al.
Publicado: (2025)

Can Large Language Models Automatically Score Proficiency of Written Essays?
por: Mansour, Watheq, et al.
Publicado: (2024)

Cause and Effect: Can Large Language Models Truly Understand Causality?
por: Ashwani, Swagata, et al.
Publicado: (2024)

Can Large Language Models Reason and Plan?
por: Kambhampati, Subbarao
Publicado: (2024)

One-Shot Learning as Instruction Data Prospector for Large Language Models
por: Li, Yunshui, et al.
Publicado: (2023)

Can Language Models Analyze Data? Evaluating Large Language Models for Question Answering over Datasets
por: Xenofontos, Andreas, et al.
Publicado: (2026)

CASTILLO: Characterizing Response Length Distributions of Large Language Models
por: Perez-Ramirez, Daniel F., et al.
Publicado: (2025)

Output Scouting: Auditing Large Language Models for Catastrophic Responses
por: Bell, Andrew, et al.
Publicado: (2024)

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
por: Yan, Yibo, et al.
Publicado: (2025)