Saved in:
| Main Authors: | Conti, Eddie, Astruc, Alejandro, Parafita, Alvaro, Brando, Axel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.18011 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CID: Measuring Feature Importance Through Counterfactual Distributions
by: Conti, Eddie, et al.
Published: (2025)
by: Conti, Eddie, et al.
Published: (2025)
Exactly Computing do-Shapley Values
by: Witter, R. Teal, et al.
Published: (2026)
by: Witter, R. Teal, et al.
Published: (2026)
Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference
by: Parafita, Álvaro, et al.
Published: (2025)
by: Parafita, Álvaro, et al.
Published: (2025)
Embedding Knowledge Graph in Function Spaces
by: Teyou, Louis Mozart Kamdem, et al.
Published: (2024)
by: Teyou, Louis Mozart Kamdem, et al.
Published: (2024)
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models
by: Berry, Lucas, et al.
Published: (2024)
by: Berry, Lucas, et al.
Published: (2024)
APEX: Probing Neural Networks via Activation Perturbation
by: Ren, Tao, et al.
Published: (2026)
by: Ren, Tao, et al.
Published: (2026)
ZIP-FIT: Embedding-Free Data Selection via Compression-Based Alignment
by: Obbad, Elyas, et al.
Published: (2024)
by: Obbad, Elyas, et al.
Published: (2024)
EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion
by: Berry, Lucas, et al.
Published: (2025)
by: Berry, Lucas, et al.
Published: (2025)
JTok: On Token Embedding as another Axis of Scaling Law via Joint Token Self-modulation
by: Yang, Yebin, et al.
Published: (2026)
by: Yang, Yebin, et al.
Published: (2026)
Position Paper: If Innovation in AI Systematically Violates Fundamental Rights, Is It Innovation at All?
by: Castañeira, Josu Eguiluz, et al.
Published: (2025)
by: Castañeira, Josu Eguiluz, et al.
Published: (2025)
How Transformers Learn to Plan via Multi-Token Prediction
by: Huang, Jianhao, et al.
Published: (2026)
by: Huang, Jianhao, et al.
Published: (2026)
Adaptive Computation Depth via Learned Token Routing in Transformers
by: Mohammed, Ahmed Abdelmuniem Abdalla
Published: (2026)
by: Mohammed, Ahmed Abdelmuniem Abdalla
Published: (2026)
Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning
by: Jeong, Wooseong, et al.
Published: (2025)
by: Jeong, Wooseong, et al.
Published: (2025)
When LLM Judge Scores Look Good but Best-of-N Decisions Fail
by: Landesberg, Eddie
Published: (2026)
by: Landesberg, Eddie
Published: (2026)
Microsaccade-Inspired Probing: Positional Encoding Perturbations Reveal LLM Misbehaviours
by: Melo, Rui, et al.
Published: (2025)
by: Melo, Rui, et al.
Published: (2025)
Exploring Token-Space Manipulation in Latent Audio Tokenizers
by: Paissan, Francesco, et al.
Published: (2026)
by: Paissan, Francesco, et al.
Published: (2026)
Embeddings to Diagnosis: Latent Fragility under Agentic Perturbations in Clinical LLMs
by: Vijayaraj, Raj Krishnan
Published: (2025)
by: Vijayaraj, Raj Krishnan
Published: (2025)
Bio2Token: All-atom tokenization of any biomolecular structure with Mamba
by: Liu, Andrew, et al.
Published: (2024)
by: Liu, Andrew, et al.
Published: (2024)
Graph Tokenization for Bridging Graphs and Transformers
by: Guo, Zeyuan, et al.
Published: (2026)
by: Guo, Zeyuan, et al.
Published: (2026)
Efficient Real-Time Aircraft ETA Prediction via Feature Tokenization Transformer
by: Huang, Liping, et al.
Published: (2025)
by: Huang, Liping, et al.
Published: (2025)
ES-Merging: Biological MLLM Merging via Embedding Space Signals
by: Lee, Wonbin, et al.
Published: (2026)
by: Lee, Wonbin, et al.
Published: (2026)
Minimizing Hyperbolic Embedding Distortion with LLM-Guided Hierarchy Restructuring
by: Ayoughi, Melika, et al.
Published: (2025)
by: Ayoughi, Melika, et al.
Published: (2025)
The Minimal Search Space for Conditional Causal Bandits
by: Simoes, Francisco N. F. Q., et al.
Published: (2025)
by: Simoes, Francisco N. F. Q., et al.
Published: (2025)
Embedding Knowledge Graphs in Degenerate Clifford Algebras
by: Teyou, Louis Mozart Kamdem, et al.
Published: (2024)
by: Teyou, Louis Mozart Kamdem, et al.
Published: (2024)
Learning Reconstructive Embeddings in Reproducing Kernel Hilbert Spaces via the Representer Theorem
by: Feito-Casares, Enrique, et al.
Published: (2026)
by: Feito-Casares, Enrique, et al.
Published: (2026)
Rethinking Tokenized Graph Transformers for Node Classification
by: Chen, Jinsong, et al.
Published: (2025)
by: Chen, Jinsong, et al.
Published: (2025)
Enhanced Graph Transformer with Serialized Graph Tokens
by: Wang, Ruixiang, et al.
Published: (2026)
by: Wang, Ruixiang, et al.
Published: (2026)
Parameter-Efficient Token Embedding Editing for Clinical Class-Level Unlearning
by: Hou, Iyad Ait, et al.
Published: (2026)
by: Hou, Iyad Ait, et al.
Published: (2026)
SliceMoE: Routing Embedding Slices Instead of Tokens for Fine-Grained and Balanced Transformer Scaling
by: Vejendla, Harshil
Published: (2025)
by: Vejendla, Harshil
Published: (2025)
Intriguing Equivalence Structures of the Embedding Space of Vision Transformers
by: Salman, Shaeke, et al.
Published: (2024)
by: Salman, Shaeke, et al.
Published: (2024)
Understanding Token Probability Encoding in Output Embeddings
by: Cho, Hakaze, et al.
Published: (2024)
by: Cho, Hakaze, et al.
Published: (2024)
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space
by: Liu, Qianmei, et al.
Published: (2024)
by: Liu, Qianmei, et al.
Published: (2024)
Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance
by: Tuck, Bryan E., et al.
Published: (2025)
by: Tuck, Bryan E., et al.
Published: (2025)
SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer
by: Fang, Jiayu, et al.
Published: (2025)
by: Fang, Jiayu, et al.
Published: (2025)
SaDiT: Efficient Protein Backbone Design via Latent Structural Tokenization and Diffusion Transformers
by: Mo, Shentong, et al.
Published: (2026)
by: Mo, Shentong, et al.
Published: (2026)
Ensemble Graph Neural Networks for Probabilistic Sea Surface Temperature Forecasting via Input Perturbations
by: González-Santana, Alejandro J., et al.
Published: (2026)
by: González-Santana, Alejandro J., et al.
Published: (2026)
Next-Token Prediction and Regret Minimization
by: Mohri, Mehryar, et al.
Published: (2026)
by: Mohri, Mehryar, et al.
Published: (2026)
Educational Cone Model in Embedding Vector Spaces
by: Ehara, Yo
Published: (2025)
by: Ehara, Yo
Published: (2025)
Beyond Semantic Manipulation: Token-Space Attacks on Reward Models
by: Zhang, Yuheng, et al.
Published: (2026)
by: Zhang, Yuheng, et al.
Published: (2026)
Rough Transformers for Continuous and Efficient Time-Series Modelling
by: Moreno-Pino, Fernando, et al.
Published: (2024)
by: Moreno-Pino, Fernando, et al.
Published: (2024)
Similar Items
-
CID: Measuring Feature Importance Through Counterfactual Distributions
by: Conti, Eddie, et al.
Published: (2025) -
Exactly Computing do-Shapley Values
by: Witter, R. Teal, et al.
Published: (2026) -
Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference
by: Parafita, Álvaro, et al.
Published: (2025) -
Embedding Knowledge Graph in Function Spaces
by: Teyou, Louis Mozart Kamdem, et al.
Published: (2024) -
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models
by: Berry, Lucas, et al.
Published: (2024)