Copertina

Graph Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Plenz, Moritz, Frank, Anette
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence Machine Learning I.2.0; I.2.4; I.2.7
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Cross-Lingual Generalization and Compression: From Language-Specific to Shared Neurons
di: Riemenschneider, Frederick, et al.
Pubblicazione: (2025)

AI-generated stories favour stability over change: homogeneity and cultural stereotyping in narratives generated by gpt-4o-mini
di: Rettberg, Jill Walker, et al.
Pubblicazione: (2025)

A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19
di: Khandelwal, Vedant, et al.
Pubblicazione: (2024)

Automated Circuit Interpretation via Probe Prompting
di: Birardi, Giuseppe
Pubblicazione: (2025)

Gyan: An Explainable Neuro-Symbolic Language Model
di: Srinivasan, Venkat, et al.
Pubblicazione: (2026)

Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
di: Xu, Wenjie, et al.
Pubblicazione: (2023)

Robustness of Large Language Models to Perturbations in Text
di: Singh, Ayush, et al.
Pubblicazione: (2024)

Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models
di: Allen, Bradley P., et al.
Pubblicazione: (2024)

Large Language Models Can Better Understand Knowledge Graphs Than We Thought
di: Dai, Xinbang, et al.
Pubblicazione: (2024)

ACCORD: Closing the Commonsense Measurability Gap
di: Roewer-Després, François, et al.
Pubblicazione: (2024)

A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion
di: Niu, Guanglin, et al.
Pubblicazione: (2024)

The Drill-Down and Fabricate Test (DDFT): A Protocol for Measuring Epistemic Robustness in Language Models
di: Baxi, Rahul
Pubblicazione: (2025)

Sycophancy as compositions of Atomic Psychometric Traits
di: Jain, Shreyans, et al.
Pubblicazione: (2025)

KNOW: A Real-World Ontology for Knowledge Capture with Large Language Models
di: Bendiken, Arto
Pubblicazione: (2024)

Question Answering Over Spatio-Temporal Knowledge Graph
di: Dai, Xinbang, et al.
Pubblicazione: (2024)

ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
di: Dumitru, Razvan-Gabriel, et al.
Pubblicazione: (2025)

BabyReasoningBench: Generating Developmentally-Inspired Reasoning Tasks for Evaluating Baby Language Models
di: Dhole, Kaustubh D.
Pubblicazione: (2026)

ROZA Graphs: Self-Improving Near-Deterministic RAG through Evidence-Centric Feedback
di: Penaroza, Matthew
Pubblicazione: (2026)

MeMo: Towards Language Models with Associative Memory Mechanisms
di: Zanzotto, Fabio Massimo, et al.
Pubblicazione: (2025)

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey
di: Vegner, Ivan, et al.
Pubblicazione: (2025)

Quo Vadis ChatGPT? From Large Language Models to Large Knowledge Models
di: Venkatasubramanian, Venkat, et al.
Pubblicazione: (2024)

A Human-Machine Collaboration Framework for the Development of Schemas
di: Isaak, Nicos
Pubblicazione: (2024)

Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels
di: Dumitru, Razvan-Gabriel, et al.
Pubblicazione: (2024)

Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
di: Dumitru, Razvan-Gabriel, et al.
Pubblicazione: (2024)

ALISON: Fast and Effective Stylometric Authorship Obfuscation
di: Xing, Eric, et al.
Pubblicazione: (2024)

Enhancing Transformer RNNs with Multiple Temporal Perspectives
di: Dumitru, Razvan-Gabriel, et al.
Pubblicazione: (2024)

Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory
di: Goldstein, Daniel, et al.
Pubblicazione: (2026)

NRR-Core: Non-Resolution Reasoning as a Computational Framework for Contextual Identity and Ambiguity Preservation
di: Saito, Kei
Pubblicazione: (2025)

CopySpec: Accelerating LLMs with Speculative Copy-and-Paste Without Compromising Quality
di: Dumitru, Razvan-Gabriel, et al.
Pubblicazione: (2025)

NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference
di: Saito, Kei
Pubblicazione: (2026)

RWKV-7 "Goose" with Expressive Dynamic State Evolution
di: Peng, Bo, et al.
Pubblicazione: (2025)

Hopscotch: Discovering and Skipping Redundancies in Language Models
di: Eyceoz, Mustafa, et al.
Pubblicazione: (2025)

CAPE: Corrective Actions from Precondition Errors using Large Language Models
di: Raman, Shreyas Sundara, et al.
Pubblicazione: (2022)

Scaling Laws for State Dynamics in Large Language Models
di: Li, Jacob X, et al.
Pubblicazione: (2025)

Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs
di: Tytarenko, Stepan, et al.
Pubblicazione: (2024)

Perturbation Dose Responses in Recursive LLM Loops: Raw Switching, Stochastic Floors, and Persistent Escape under Append, Replace, and Dialog Updates
di: Kaplanski, Pawel
Pubblicazione: (2026)

Incentives or Ontology? A Structural Rebuttal to OpenAI's Hallucination Thesis
di: Ackermann, Richard, et al.
Pubblicazione: (2025)

BERTologyNavigator: Advanced Question Answering with BERT-based Semantics
di: Rajpal, Shreya, et al.
Pubblicazione: (2024)

Large Language Models as Oracles for Ontology Alignment
di: Lushnei, Sviatoslav, et al.
Pubblicazione: (2025)

OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
di: Sharma, Kartik, et al.
Pubblicazione: (2024)