:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Trinh, Tu, Elfeki, Mohamed, Luo, Guangze, Luu, Kelvin, Hunt, Nathan, Hernandez, Ernesto, Marwaha, Nandan, He, Yannis Yiming, Wang, Charles, Carabedo, Fernando, Castillo, Alessa, Liu, Bing
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2604.09408
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

vEDGAR -- Can CARLA Do HiL?
por: Gehrke, Nils, et al.
Publicado: (2025)

E2HiL: Entropy-Guided Sample Selection for Efficient Real-World Human-in-the-Loop Reinforcement Learning
por: Deng, Haoyuan, et al.
Publicado: (2026)

HiL Demonstration of Online Battery Capacity and Impedance Estimation with Minimal a Priori Parametrization Effort
por: Beckers, Camiel J. J., et al.
Publicado: (2024)

Why Ask One When You Can Ask $k$? Learning-to-Defer to the Top-$k$ Experts
por: Montreuil, Yannis, et al.
Publicado: (2025)

When and What to Ask: AskBench and Rubric-Guided RLVR for LLM Clarification
por: Zhao, Jiale, et al.
Publicado: (2026)

Knowing When to Ask -- Bridging Large Language Models and Data
por: Radhakrishnan, Prashanth, et al.
Publicado: (2024)

R2V Agent: Teaching SLMs When to Ask for Help
por: Hemadri, Raghu Vamshi, et al.
Publicado: (2026)

Knowing When to Ask: Segment-Level Credit Assignment for LLM Tool Use
por: Kumar, Abhijit, et al.
Publicado: (2026)

When Models Know When They Do Not Know: Calibration, Cascading, and Cleaning
por: Hao, Chenjie, et al.
Publicado: (2026)

LLM-Assisted Relevance Assessments: When Should We Ask LLMs for Help?
por: Takehi, Rikiya, et al.
Publicado: (2024)

What to Do When They Ask for Nancy Drew: A Bibliography.
por: Birtha, Jessie, et al.
Publicado: (1979)

Learning When to Ask for Help: Efficient Interactive Navigation via Implicit Uncertainty Estimation
por: Igbinedion, Ifueko, et al.
Publicado: (2023)

Need Help?...Ask Your Mentor.
por: Logsdon, Janis
Publicado: (1992)

Do Retrieval Augmented Language Models Know When They Don't Know?
por: Zhou, Youchao, et al.
Publicado: (2025)

Analyzing Reluctance to Ask for Help When Cooperating With Robots: Insights to Integrate Artificial Agents in HRC
por: Martin, Ane San, et al.
Publicado: (2025)

Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?
por: Mei, Zhiting, et al.
Publicado: (2025)

Return of the Encoder: Maximizing Parameter Efficiency for SLMs
por: Elfeki, Mohamed, et al.
Publicado: (2025)

What Does the Public Want To Know? Ask Libraries.
por: Oder, Norman
Publicado: (1997)

Getting By Goal Misgeneralization With a Little Help From a Mentor
por: Trinh, Tu, et al.
Publicado: (2024)

"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation
por: Thakur, Nandan, et al.
Publicado: (2023)

What and When Do They Know? Web-Based Assessment.
por: Samson, Sue
Publicado: (2000)

Know-How To Help Kids Know How.
por: Farmer, Lesley S. J.
Publicado: (1998)

Epistemic Deep Learning: Enabling Machine Learning Models to Know When They Do Not Know
por: Manchingal, Shireen Kudukkil
Publicado: (2025)

Seeing Isn't Knowing: Do VLMs Know When Not to Answer Spatial Questions (and Why)?
por: Zhang, Yue, et al.
Publicado: (2026)

YRC-Bench: A Benchmark for Learning to Coordinate with Experts
por: Danesh, Mohamad H., et al.
Publicado: (2025)

HiBench: Benchmarking LLMs Capability on Hierarchical Structure Reasoning
por: Jiang, Zhuohang, et al.
Publicado: (2025)

When Do "More Contexts" Help with Sarcasm Recognition?
por: Nimase, Ojas, et al.
Publicado: (2024)

Ask Early, Ask Late, Ask Right: When Does Clarification Timing Matter for Long-Horizon Agents?
por: Gulati, Anmol, et al.
Publicado: (2026)

LLMs Know When They Know, but Do Not Act on It: A Metacognitive Harness for Test-time Scaling
por: Cao, Qi, et al.
Publicado: (2026)

Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know'
por: Manchingal, Shireen Kudukkil, et al.
Publicado: (2025)

Web Site Quality: Do Students Know It When They See It?
por: Small, Ruth V., et al.
Publicado: (1999)

Everything You Always Wanted to Know About How Causal Set Theory Can Help with Open Questions in Cosmology, but Were Afraid to Ask
por: Yazdi, Yasaman K.
Publicado: (2023)

May We Help You Find Something? AskNSDL!
por: Silverstein, Joanne
Publicado: (2003)

Superposition detection and QMA with non-collapsing measurements
por: Bassirian, Roozbeh, et al.
Publicado: (2024)

A complexity phase transition at the EPR Hamiltonian
por: Marwaha, Kunal, et al.
Publicado: (2026)

Knowing but Not Showing: LLMs Recognize Ambiguity but Rarely Ask Clarifying Questions
por: Su, Jinyan, et al.
Publicado: (2026)

Do Language Models Know When They're Hallucinating References?
por: Agrawal, Ayush, et al.
Publicado: (2023)

Know When To Hold 'em, Know When To Fold 'em.
por: Jacso, Peter
Publicado: (1999)

AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering
por: Kuan, Chun-Yi, et al.
Publicado: (2026)

Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement Learning
por: Ramrakhya, Ram, et al.
Publicado: (2025)