Cover Image

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kadali, Sri Durga Sai Sowmya, Papalexakis, Evangelos E.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Jailbreaking Leaves a Trace: Understanding and Detecting Jailbreak Attacks from Internal Representations of Large Language Models
by: Kadali, Sri Durga Sai Sowmya, et al.
Published: (2026)

Do Internal Layers of LLMs Reveal Patterns for Jailbreak Detection?
by: Kadali, Sri Durga Sai Sowmya, et al.
Published: (2025)

GPT-generated Text Detection: Benchmark Dataset and Tensor-based Detection Method
by: Qazi, Zubair, et al.
Published: (2024)

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection
by: Li, Jerry, et al.
Published: (2025)

Robust Vision-Language Models via Tensor Decomposition: A Defense Against Adversarial Attacks
by: Patel, Het, et al.
Published: (2025)

Gradient Co-occurrence Analysis for Detecting Unsafe Prompts in Large Language Models
by: Yang, Jingyuan, et al.
Published: (2025)

Co-occurrence is not Factual Association in Language Models
by: Zhang, Xiao, et al.
Published: (2024)

TRAWL: Tensor Reduced and Approximated Weights for Large Language Models
by: Luo, Yiran, et al.
Published: (2024)

SamBaTen: Sampling-based Batch Incremental Tensor Decomposition
by: Gujral, Ekta, et al.
Published: (2017)

Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition
by: Chen, Tiejin, et al.
Published: (2026)

On the Distinctive Co-occurrence Characteristics of Antonymy
by: Cao, Zhihan, et al.
Published: (2025)

Hierarchical Concept Geometry in Language Models Emerges from Word Co-occurrence
by: Nava, Andres, et al.
Published: (2026)

Gradient-Regularized Latent Space Modulation in Large Language Models for Structured Contextual Synthesis
by: Yotheringhay, Derek, et al.
Published: (2025)

FRAPPE: $\underline{\text{F}}$ast $\underline{\text{Ra}}$nk $\underline{\text{App}}$roximation with $\underline{\text{E}}$xplainable Features for Tensors
by: Shiao, William, et al.
Published: (2022)

Contextual Gradient Flow Modeling for Large Language Model Generalization in Multi-Scale Feature Spaces
by: Quillington, Daphne, et al.
Published: (2025)

Can a Large Language Model Learn Matrix Functions In Context?
by: Goulart, Paimon, et al.
Published: (2024)

CoViPAL: Layer-wise Contextualized Visual Token Pruning for Large Vision-Language Models
by: Tang, Zicong, et al.
Published: (2025)

CoCoA: Confidence and Context-Aware Adaptive Decoding for Resolving Knowledge Conflicts in Large Language Models
by: Khandelwal, Anant, et al.
Published: (2025)

CoCo-CoLa: Evaluating and Improving Language Adherence in Multilingual LLMs
by: Rahmati, Elnaz, et al.
Published: (2025)

Contextual Categorization Enhancement through LLMs Latent-Space
by: Bettouche, Zineddine, et al.
Published: (2024)

RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions
by: Zhang, Yuansen, et al.
Published: (2024)

MATA: Mindful Assessment of the Telugu Abilities of Large Language Models
by: Kranti, Chalamalasetti, et al.
Published: (2025)

Prompt and Parameter Co-Optimization for Large Language Models
by: Bo, Xiaohe, et al.
Published: (2025)

Incorporating Co‐occurrence Into the Operationalization of Speech Disfluency for Second Language Pronunciation and Oral Proficiency Assessment
by: Xun Yan, et al.
Published: (2025)

Global and Local Structure Learning for Sparse Tensor Completion
by: Ahn, Dawon, et al.
Published: (2025)

LatentBreak: Jailbreaking Large Language Models through Latent Space Feedback
by: Mura, Raffaele, et al.
Published: (2025)

ProCoT: Stimulating Critical Thinking and Writing of Students through Engagement with Large Language Models (LLMs)
by: Adewumi, Tosin, et al.
Published: (2023)

Instruction Tuning and CoT Prompting for Contextual Medical QA with LLMs
by: Le, Chenqian, et al.
Published: (2025)

Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues
by: Fichtel, Leandra, et al.
Published: (2025)

Federated Co-tuning Framework for Large and Small Language Models
by: Fan, Tao, et al.
Published: (2024)

CoLLEGe: Concept Embedding Generation for Large Language Models
by: Teehan, Ryan, et al.
Published: (2024)

Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses
by: Chen, Tiejin, et al.
Published: (2025)

CoLT: Reasoning with Chain of Latent Tool Calls
by: Zhu, Fangwei, et al.
Published: (2026)

Investigating CoT Monitorability in Large Reasoning Models
by: Yang, Shu, et al.
Published: (2025)

DeCoVec: Building Decoding Space based Task Vector for Large Language Models via In-Context Learning
by: Li, Feiyang, et al.
Published: (2026)

VidCoM: Fast Video Comprehension through Large Language Models with Multimodal Tools
by: Qi, Ji, et al.
Published: (2023)

Are LLM Uncertainty and Correctness Encoded by the Same Features? A Functional Dissociation via Sparse Autoencoders
by: Patel, Het, et al.
Published: (2026)

Hierarchical Contextual Manifold Alignment for Structuring Latent Representations in Large Language Models
by: Dong, Meiquan, et al.
Published: (2025)

CoLa: Learning to Interactively Collaborate with Large Language Models
by: Sharma, Abhishek, et al.
Published: (2025)

Making Metadata More FAIR Using Large Language Models
by: Sundaram, Sowmya S., et al.
Published: (2023)