Enriching language models with graph-based context information to better understand textual data
Fuente:
arXiv
Saved in:
| Main Authors: | Roethel, Albert, Ganzha, Maria, Wróblewska, Anna |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hidden Holes: topological aspects of language models
by: Fitz, Stephen, et al.
Published: (2024)
by: Fitz, Stephen, et al.
Published: (2024)
'Neural howlround' in large language models: a self-reinforcing bias phenomenon, and a dynamic attenuation solution
by: Drake, Seth
Published: (2025)
by: Drake, Seth
Published: (2025)
Diffusion Language Models for Speech Recognition
by: Naveriani, Davyd, et al.
Published: (2026)
by: Naveriani, Davyd, et al.
Published: (2026)
A Transformer-based Neural Architecture Search Method
by: Wang, Shang, et al.
Published: (2025)
by: Wang, Shang, et al.
Published: (2025)
Text-Utilization for Encoder-dominated Speech Recognition Models
by: Zeyer, Albert, et al.
Published: (2026)
by: Zeyer, Albert, et al.
Published: (2026)
Interlocking-free Selective Rationalization Through Genetic-based Learning
by: Ruggeri, Federico, et al.
Published: (2024)
by: Ruggeri, Federico, et al.
Published: (2024)
State-space models can learn in-context by gradient descent
by: Sushma, Neeraj Mohan, et al.
Published: (2024)
by: Sushma, Neeraj Mohan, et al.
Published: (2024)
Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction
by: Parab, Aishni, et al.
Published: (2025)
by: Parab, Aishni, et al.
Published: (2025)
Similarity-based context aware continual learning for spiking neural networks
by: Han, Bing, et al.
Published: (2024)
by: Han, Bing, et al.
Published: (2024)
Equation discovery framework EPDE: Towards a better equation discovery
by: Maslyaev, Mikhail, et al.
Published: (2024)
by: Maslyaev, Mikhail, et al.
Published: (2024)
The Importance of Directional Feedback for LLM-based Optimizers
by: Nie, Allen, et al.
Published: (2024)
by: Nie, Allen, et al.
Published: (2024)
What's the Magic Word? A Control Theory of LLM Prompting
by: Bhargava, Aman, et al.
Published: (2023)
by: Bhargava, Aman, et al.
Published: (2023)
Beyond Scale: The Diversity Coefficient as a Data Quality Metric for Variability in Natural Language Data
by: Miranda, Brando, et al.
Published: (2023)
by: Miranda, Brando, et al.
Published: (2023)
A Gauge Theory of Superposition: Toward a Sheaf-Theoretic Atlas of Neural Representations
by: Javidnia, Hossein
Published: (2026)
by: Javidnia, Hossein
Published: (2026)
CAPO: Cost-Aware Prompt Optimization
by: Zehle, Tom, et al.
Published: (2025)
by: Zehle, Tom, et al.
Published: (2025)
W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models
by: Wang, Shang
Published: (2025)
by: Wang, Shang
Published: (2025)
Semantic Sections: An Atlas-Native Feature Ontology for Obstructed Representation Spaces
by: Javidnia, Hossein
Published: (2026)
by: Javidnia, Hossein
Published: (2026)
Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
by: Baumann, Jill, et al.
Published: (2024)
by: Baumann, Jill, et al.
Published: (2024)
Topic Modelling Black Box Optimization
by: Akramov, Roman, et al.
Published: (2025)
by: Akramov, Roman, et al.
Published: (2025)
Position as Probability: Self-Supervised Transformers that Think Past Their Training for Length Extrapolation
by: Lee, Philip Heejun
Published: (2025)
by: Lee, Philip Heejun
Published: (2025)
Language Models Learn Universal Representations of Numbers and Here's Why You Should Care
by: Štefánik, Michal, et al.
Published: (2025)
by: Štefánik, Michal, et al.
Published: (2025)
H-Node Attack and Defense in Large Language Models
by: Yocam, Eric, et al.
Published: (2026)
by: Yocam, Eric, et al.
Published: (2026)
Parameter-Efficient Fine-Tuning of LLMs with Mixture of Space Experts
by: Zhang, Buze, et al.
Published: (2026)
by: Zhang, Buze, et al.
Published: (2026)
EvoGPT-f: An Evolutionary GPT Framework for Benchmarking Formal Math Languages
by: Mercer, Johnathan
Published: (2024)
by: Mercer, Johnathan
Published: (2024)
Accelerating Training Speed of Tiny Recursive Models with Curriculum Guided Adaptive Recursion
by: Qasim, Kaleem Ullah, et al.
Published: (2025)
by: Qasim, Kaleem Ullah, et al.
Published: (2025)
Compute Allocation in Evolutionary Search: From Depth-Breadth to Multi-Armed Bandits
by: Xing, Sixue, et al.
Published: (2026)
by: Xing, Sixue, et al.
Published: (2026)
Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security
by: Qu, Youyang, et al.
Published: (2024)
by: Qu, Youyang, et al.
Published: (2024)
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
by: Abhyankar, Nikhil, et al.
Published: (2025)
by: Abhyankar, Nikhil, et al.
Published: (2025)
Vector Policy Optimization: Training for Diversity Improves Test-Time Search
by: Bahlous-Boldi, Ryan, et al.
Published: (2026)
by: Bahlous-Boldi, Ryan, et al.
Published: (2026)
Benchmarking Randomized Optimization Algorithms on Binary, Permutation, and Combinatorial Problem Landscapes
by: Odeyemi, Jethro, et al.
Published: (2025)
by: Odeyemi, Jethro, et al.
Published: (2025)
Hyperbolic Fine-Tuning for Large Language Models
by: Yang, Menglin, et al.
Published: (2024)
by: Yang, Menglin, et al.
Published: (2024)
MAR: Efficient Large Language Models via Module-aware Architecture Refinement
by: Cai, Junhong, et al.
Published: (2026)
by: Cai, Junhong, et al.
Published: (2026)
Fleet of Agents: Coordinated Problem Solving with Large Language Models
by: Klein, Lars, et al.
Published: (2024)
by: Klein, Lars, et al.
Published: (2024)
Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models
by: Petruzzellis, Flavio, et al.
Published: (2024)
by: Petruzzellis, Flavio, et al.
Published: (2024)
GLU Attention Improve Transformer
by: Wang, Zehao
Published: (2025)
by: Wang, Zehao
Published: (2025)
Elastic Architecture Search for Efficient Language Models
by: Wang, Shang
Published: (2025)
by: Wang, Shang
Published: (2025)
Large Language Models and Emergence: A Complex Systems Perspective
by: Krakauer, David C., et al.
Published: (2025)
by: Krakauer, David C., et al.
Published: (2025)
Understanding Textual Emotion Through Emoji Prediction
by: Gordon, Ethan, et al.
Published: (2025)
by: Gordon, Ethan, et al.
Published: (2025)
Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models
by: Liang, Haoyu, et al.
Published: (2025)
by: Liang, Haoyu, et al.
Published: (2025)
Thoughtbubbles: an Unsupervised Method for Parallel Thinking in Latent Space
by: Liu, Houjun, et al.
Published: (2025)
by: Liu, Houjun, et al.
Published: (2025)
Similar Items
-
Hidden Holes: topological aspects of language models
by: Fitz, Stephen, et al.
Published: (2024) -
'Neural howlround' in large language models: a self-reinforcing bias phenomenon, and a dynamic attenuation solution
by: Drake, Seth
Published: (2025) -
Diffusion Language Models for Speech Recognition
by: Naveriani, Davyd, et al.
Published: (2026) -
A Transformer-based Neural Architecture Search Method
by: Wang, Shang, et al.
Published: (2025) -
Text-Utilization for Encoder-dominated Speech Recognition Models
by: Zeyer, Albert, et al.
Published: (2026)