Cover Image

Persistent Topological Features in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gardinazzi, Yuri, Viswanathan, Karthik, Panerai, Giada, Ansuini, Alessio, Cazzaniga, Alberto, Biagetti, Matteo
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Computational Geometry Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Geometry of Tokens in Internal Representations of Large Language Models
by: Viswanathan, Karthik, et al.
Published: (2025)

The representation landscape of few-shot learning and fine-tuning in large language models
by: Doimo, Diego, et al.
Published: (2024)

Zigzag Persistence of Neural Responses to Time-Varying Stimuli
by: Gardinazzi, Yuri, et al.
Published: (2026)

Emergent representations in networks trained with the Forward-Forward algorithm
by: Tosato, Niccolò, et al.
Published: (2023)

Probing Geometry of Next Token Prediction Using Cumulant Expansion of the Softmax Entropy
by: Viswanathan, Karthik, et al.
Published: (2025)

The Flood Complex: Large-Scale Persistent Homology on Millions of Points
by: Graf, Florian, et al.
Published: (2025)

Bias after Prompting: Persistent Discrimination in Large Language Models
by: Sivakumar, Nivedha, et al.
Published: (2025)

The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models
by: Serra, Alessandro Pietro, et al.
Published: (2024)

Algorithm for Interpretable Graph Features via Motivic Persistent Cohomology
by: Maruyama, Yoshihiro
Published: (2025)

Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reduction
by: Clémot, Mattéo, et al.
Published: (2025)

Rotary Offset Features in Large Language Models
by: Jonasson, André
Published: (2025)

Robust Barycenters of Persistence Diagrams
by: Sisouk, Keanu, et al.
Published: (2025)

Understanding and inverse design of implicit bias in stochastic learning: a geometric perspective
by: Aladrah, Nicola, et al.
Published: (2026)

PHLP: Sole Persistent Homology for Link Prediction - Interpretable Feature Extraction
by: You, Junwon, et al.
Published: (2024)

Automatically Interpreting Millions of Features in Large Language Models
by: Paulo, Gonçalo, et al.
Published: (2024)

Semantic Structure of Feature Space in Large Language Models
by: Kozlowski, Austin C., et al.
Published: (2026)

Latent Feature Mining for Predictive Model Enhancement with Large Language Models
by: Li, Bingxuan, et al.
Published: (2024)

GeoLAN: Geometric Learning of Latent Explanatory Directions in Large Language Models
by: Pan, Tianyu Bell, et al.
Published: (2026)

The Curved Spacetime of Transformer Architectures
by: Di Sipio, Riccardo, et al.
Published: (2025)

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models
by: Yang, Junjie, et al.
Published: (2025)

In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery
by: Merler, Matteo, et al.
Published: (2024)

Head Pursuit: Probing Attention Specialization in Multimodal Transformers
by: Basile, Lorenzo, et al.
Published: (2025)

Persistent Homology via Finite Topological Spaces
by: Kayacan, Selçuk
Published: (2025)

Topological Machine Learning with Unreduced Persistence Diagrams
by: Abreu, Nicole, et al.
Published: (2025)

Wu's Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry
by: Sinha, Shiven, et al.
Published: (2024)

Pre-trained Large Language Models Use Fourier Features to Compute Addition
by: Zhou, Tianyi, et al.
Published: (2024)

Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models
by: Deng, Boyi, et al.
Published: (2026)

Topological Spatial Graph Coarsening
by: Calissano, Anna, et al.
Published: (2025)

Cover Learning for Large-Scale Topology Representation
by: Scoccola, Luis, et al.
Published: (2025)

Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure
by: Chen, Ziyi, et al.
Published: (2024)

NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
by: Dhurandhar, Amit, et al.
Published: (2024)

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models
by: Sawmya, Shashata, et al.
Published: (2025)

MoSE: Mixture of Slimmable Experts for Efficient and Adaptive Language Models
by: Tastan, Nurbek, et al.
Published: (2026)

Certifying Robustness via Topological Representations
by: Agerberg, Jens, et al.
Published: (2025)

Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization
by: Ji, Yixin, et al.
Published: (2024)

LLM-Select: Feature Selection with Large Language Models
by: Jeong, Daniel P., et al.
Published: (2024)

Rapid and Precise Topological Comparison with Merge Tree Neural Networks
by: Qin, Yu, et al.
Published: (2024)

Quantum Attention by Overlap Interference: Predicting Sequences from Classical and Many-Body Quantum Data
by: Pecilli, Alessio, et al.
Published: (2026)

Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models
by: Lee, Joseph, et al.
Published: (2024)

Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
by: Cao, Sheng, et al.
Published: (2025)