Copertina

Encoder-Free Knowledge-Graph Reasoning with LLMs via Hyperdimensional Path Retrieval

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Yezi, Chung, William Youngwoo, Chen, Hanning, Yeung, Calvin, Imani, Mohsen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Mitigating Bias in Graph Hyperdimensional Computing
di: Liu, Yezi, et al.
Pubblicazione: (2025)

LUNE: Efficient LLM Unlearning via LoRA Fine-Tuning with Negative Examples
di: Liu, Yezi, et al.
Pubblicazione: (2025)

Recover-to-Forget: Gradient Reconstruction from LoRA for Efficient LLM Unlearning
di: Liu, Yezi, et al.
Pubblicazione: (2025)

Promoting Fairness in Link Prediction with Graph Enhancement
di: Liu, Yezi, et al.
Pubblicazione: (2024)

HEAL: Brain-inspired Hyperdimensional Efficient Active Learning
di: Ni, Yang, et al.
Pubblicazione: (2024)

Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing
di: Liu, Yezi, et al.
Pubblicazione: (2025)

Geometric Priors for Generalizable World Models via Vector Symbolic Architecture
di: Chung, William Youngwoo, et al.
Pubblicazione: (2026)

HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning
di: Chen, Hanning, et al.
Pubblicazione: (2024)

Cauchy-Schwarz Fairness Regularizer
di: Liu, Yezi, et al.
Pubblicazione: (2025)

Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning
di: Yun, Sanggeon, et al.
Pubblicazione: (2024)

Robust Reasoning and Learning with Brain-Inspired Representations under Hardware-Induced Nonlinearities
di: Chung, William Youngwoo, et al.
Pubblicazione: (2026)

Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
di: Liu, Haochen, et al.
Pubblicazione: (2024)

MissionHD: Hyperdimensional Refinement of Distribution-Deficient Reasoning Graphs for Video Anomaly Detection
di: Yun, Sanggeon, et al.
Pubblicazione: (2025)

Coupled Inference in Diffusion Models for Semantic Decomposition
di: Yeung, Calvin, et al.
Pubblicazione: (2026)

Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
di: Piran, Fardin Jalil, et al.
Pubblicazione: (2024)

CoG: Controllable Graph Reasoning via Relational Blueprints and Failure-Aware Refinement over Knowledge Graphs
di: Liu, Yuanxiang, et al.
Pubblicazione: (2026)

FedQHD: Closed-Form Function-Space Federated Reinforcement Learning
di: Hou, Yuchen, et al.
Pubblicazione: (2026)

Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach
di: Huang, Wenjun, et al.
Pubblicazione: (2024)

ReCellTy: Domain-Specific Knowledge Graph Retrieval-Augmented LLMs Reasoning Workflow for Single-Cell Annotation
di: Han, Dezheng, et al.
Pubblicazione: (2025)

Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring
di: Piran, Fardin Jalil, et al.
Pubblicazione: (2024)

Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey
di: Agrawal, Garima, et al.
Pubblicazione: (2023)

Beyond Retrieval: Ensembling Cross-Encoders and GPT Rerankers with LLMs for Biomedical QA
di: Verma, Shashank, et al.
Pubblicazione: (2025)

Residualized Temporal Sparse Autoencoders for Interpreting Diffusion Models
di: Yeung, Calvin, et al.
Pubblicazione: (2026)

Asynchronous Reasoning: Training-Free Interactive Thinking LLMs
di: Yakushev, George, et al.
Pubblicazione: (2025)

ReSAE: Residualized Sparse Autoencoders for Multi-Layer Transformer Interventions
di: Poduval, Prathyush, et al.
Pubblicazione: (2026)

DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models
di: Chung, Tsz Ting, et al.
Pubblicazione: (2025)

Towards Efficient Hyperdimensional Computing Using Photonics
di: Fayza, Farbin, et al.
Pubblicazione: (2023)

K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction
di: Abdullahi, Tassallah, et al.
Pubblicazione: (2025)

DecoHD: Decomposed Hyperdimensional Classification under Extreme Memory Budgets
di: Yun, Sanggeon, et al.
Pubblicazione: (2025)

Scaling Multi-Hop Training Data via Graph-Constrained Path Selection
di: Chen, Pengyu, et al.
Pubblicazione: (2026)

Hyperdimensional Probe: Decoding LLM Representations via Vector Symbolic Architectures
di: Bronzini, Marco, et al.
Pubblicazione: (2025)

LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
di: Zhu, Yuqi, et al.
Pubblicazione: (2023)

Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners
di: Peng, Miao, et al.
Pubblicazione: (2025)

Internal Flow Signatures for Self-Checking and Refinement in LLMs
di: Jeong, Sungheon, et al.
Pubblicazione: (2026)

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
di: Huang, Yukun, et al.
Pubblicazione: (2025)

Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
di: Ovadia, Oded, et al.
Pubblicazione: (2023)

Causal Reasoning Favors Encoders: On The Limits of Decoder-Only Models
di: Roy, Amartya, et al.
Pubblicazione: (2025)

Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
di: Zheng, Yilun, et al.
Pubblicazione: (2025)

DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains
di: Xiao, Yongkang, et al.
Pubblicazione: (2025)

STEP: Scientific Time-Series Encoder Pretraining via Cross-Domain Distillation
di: Zhang, Chen, et al.
Pubblicazione: (2026)