Imagen de Portada

Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Markowitz, Elan, Ramakrishna, Anil, Dhamala, Jwala, Mehrabi, Ninareh, Peris, Charith, Gupta, Rahul, Chang, Kai-Wei, Galstyan, Aram
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

K-Edit: Language Model Editing with Contextual Knowledge Awareness
por: Markowitz, Elan, et al.
Publicado: (2025)

Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation
por: Kumarage, Tharindu, et al.
Publicado: (2025)

Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification
por: Meng, Tao, et al.
Publicado: (2024)

Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies
por: Ovalle, Anaelia, et al.
Publicado: (2023)

SWAN: Semantic Watermarking with Abstract Meaning Representation
por: Ye, Ziping, et al.
Publicado: (2026)

On the steerability of large language models toward data-driven personas
por: Li, Junyi, et al.
Publicado: (2023)

KG-LLM-Bench: A Scalable Benchmark for Evaluating LLM Reasoning on Textualized Knowledge Graphs
por: Markowitz, Elan, et al.
Publicado: (2025)

Kaleidoscopic Teaming in Multi Agent Simulations
por: Mehrabi, Ninareh, et al.
Publicado: (2025)

Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models
por: Wang, Fei, et al.
Publicado: (2024)

DECOR: Auditing LLM Deception via Information Manipulation Theory
por: Cai, Linyue, et al.
Publicado: (2026)

ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System
por: Liang, Jiacheng, et al.
Publicado: (2026)

FLIRT: Feedback Loop In-context Red Teaming
por: Mehrabi, Ninareh, et al.
Publicado: (2023)

Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application
por: Markowitz, Elan, et al.
Publicado: (2023)

Emergent Strategic Reasoning Risks in AI: A Taxonomy-Driven Evaluation Framework
por: Kumarage, Tharindu, et al.
Publicado: (2026)

Prompt Perturbation Consistency Learning for Robust Language Models
por: Qiang, Yao, et al.
Publicado: (2024)

LH-Deception: Simulating and Understanding LLM Deceptive Behaviors in Long-Horizon Interactions
por: Xu, Yang, et al.
Publicado: (2025)

DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning
por: Parekh, Tanmay, et al.
Publicado: (2025)

Partial Federated Learning
por: Feng, Tiantian, et al.
Publicado: (2024)

Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time
por: Li, Huihan, et al.
Publicado: (2025)

Strategize Globally, Adapt Locally: A Multi-Turn Red Teaming Agent with Dual-Level Learning
por: Chen, Si, et al.
Publicado: (2025)

Robust Persona-Aware Toxicity Detection with Prompt Optimization and Learned Ensembling
por: Atil, Berk, et al.
Publicado: (2026)

Evaluating the Critical Risks of Amazon's Nova Premier under the Frontier Model Safety Framework
por: Krishna, Satyapriya, et al.
Publicado: (2025)

Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning
por: Wan, Yixin, et al.
Publicado: (2025)

Asymmetric Phase Coding Audio Watermarking
por: Yang, Guang, et al.
Publicado: (2026)

FERRET: Framework for Expansion Reliant Red Teaming
por: Mehrabi, Ninareh, et al.
Publicado: (2026)

GraphSearch: Agentic Search-Augmented Reasoning for Zero-Shot Graph Learning
por: Liu, Jiajin, et al.
Publicado: (2026)

GRATR: Zero-Shot Evidence Graph Retrieval-Augmented Trustworthiness Reasoning
por: Zhu, Ying, et al.
Publicado: (2024)

Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual Augmentation
por: Miandoab, Kaveh Eskandari, et al.
Publicado: (2025)

Assessing Visual Privacy Risks in Multimodal AI: A Novel Taxonomy-Grounded Evaluation of Vision-Language Models
por: Tsaprazlis, Efthymios, et al.
Publicado: (2025)

Making Sense Of Distributed Representations With Activation Spectroscopy
por: Reing, Kyle, et al.
Publicado: (2025)

Learning Morphisms with Gauss-Newton Approximation for Growing Networks
por: Lawton, Neal, et al.
Publicado: (2024)

One-Shot Strategic Classification Under Unknown Costs
por: Rosenfeld, Elan, et al.
Publicado: (2023)

Geometry over Density: Few-Shot Cross-Domain OOD Detection
por: Li, Shawn, et al.
Publicado: (2026)

Improving Diversity in Black-box Few-shot Knowledge Distillation
por: Vo, Tri-Nhan, et al.
Publicado: (2026)

Towards Zero-Shot Terrain Traversability Estimation: Challenges and Opportunities
por: Germann, Ida, et al.
Publicado: (2025)

Effects of time-delay couplings in the collective frequency of network oscillations
por: Wu, Hui, et al.
Publicado: (2024)

A Comprehensive Test System for Transmission Expansion Planning: Modeling N-1 Contingencies and Multi-Loading Scenarios
por: Dhamala, Bhuban, et al.
Publicado: (2026)

Diverse Image Priors for Black-box Data-free Knowledge Distillation
por: Vo, Tri-Nhan, et al.
Publicado: (2026)

Zero-Shot Relational Learning for Multimodal Knowledge Graphs
por: Cai, Rui, et al.
Publicado: (2024)

Asking Back: Interaction-Layer Antidistillation Watermarks
por: Yang, Guang, et al.
Publicado: (2026)