:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Elluru, Veeraraju, Singh, Arth, Aguero, Roberto, Agarwal, Ajay, Das, Debojyoti, Paul, Hreetam
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2603.25035
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Bias-Aware Machine Unlearning: Towards Fairer Vision Models via Controllable Forgetting
di: Aylapuram, Sai Siddhartha Chary, et al.
Pubblicazione: (2025)

Re-Mask and Redirect: Exploiting Denoising Irreversibility in Diffusion Language Models
di: Singh, Arth
Pubblicazione: (2026)

EMA Is Not All You Need: Mapping the Boundary Between Structure and Content in Recurrent Context
di: Singh, Arth
Pubblicazione: (2026)

Causally Grounded Mechanistic Interpretability for LLMs with Faithful Natural-Language Explanations
di: Mahale, Ajay Pravin
Pubblicazione: (2026)

Towards Understanding and Improving Refusal in Compressed Models via Mechanistic Interpretability
di: Chhabra, Vishnu Kabir, et al.
Pubblicazione: (2025)

Counting Circuits: Mechanistic Interpretability of Visual Reasoning in Large Vision-Language Models
di: Che, Liwei, et al.
Pubblicazione: (2026)

Mechanistic Interpretability of Emotion Inference in Large Language Models
di: Tak, Ala N., et al.
Pubblicazione: (2025)

Mechanistic Behavior Editing of Language Models
di: Singh, Joykirat, et al.
Pubblicazione: (2024)

Mechanistic Interpretability of Socio-Political Frames in Language Models
di: Asghari, Hadi, et al.
Pubblicazione: (2025)

Binary Autoencoder for Mechanistic Interpretability of Large Language Models
di: Cho, Hakaze, et al.
Pubblicazione: (2025)

MALCDF: A Distributed Multi-Agent LLM Framework for Real-Time Cyber
di: Bhardwaj, Arth, et al.
Pubblicazione: (2025)

Beyond Protein Language Models: An Agentic LLM Framework for Mechanistic Enzyme Design
di: Jacob, Bruno, et al.
Pubblicazione: (2025)

Challenges in Mechanistically Interpreting Model Representations
di: Golechha, Satvik, et al.
Pubblicazione: (2024)

Seeing Through Circuits: Faithful Mechanistic Interpretability for Vision Transformers
di: Żukowska, Nina, et al.
Pubblicazione: (2026)

Supernova Event Dataset: Interpreting Large Language Models' Personality through Critical Event Analysis
di: Agarwal, Pranav, et al.
Pubblicazione: (2025)

Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models
di: Winninger, Thomas, et al.
Pubblicazione: (2025)

Beyond BeautifulSoup: Benchmarking LLM-Powered Web Scraping for Everyday Users
di: Bhardwaj, Arth, et al.
Pubblicazione: (2026)

Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference
di: Kim, Geonhee, et al.
Pubblicazione: (2024)

Mechanistic Interpretability Needs Philosophy
di: Williams, Iwan, et al.
Pubblicazione: (2025)

Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and Video
di: Joseph, Sonia, et al.
Pubblicazione: (2025)

Mechanistic Interpretability of LoRA-Adapted Language Models for Nuclear Reactor Safety Applications
di: Lee, Yoon Pyo
Pubblicazione: (2025)

A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
di: Rai, Daking, et al.
Pubblicazione: (2024)

DLM-Scope: Mechanistic Interpretability of Diffusion Language Models via Sparse Autoencoders
di: Wang, Xu, et al.
Pubblicazione: (2026)

Mechanistic Interpretability with SAEs: Probing Religion, Violence, and Geography in Large Language Models
di: Simbeck, Katharina, et al.
Pubblicazione: (2025)

Mechanistic Interpretability for AI Safety -- A Review
di: Bereska, Leonard, et al.
Pubblicazione: (2024)

Mechanistic Interpretability in the Presence of Architectural Obfuscation
di: Florencio, Marcos, et al.
Pubblicazione: (2025)

ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks
di: Shukla, Arth, et al.
Pubblicazione: (2024)

Where Does Toxicity Live? Mechanistic Localization and Targeted Suppression in Language Models
di: Beniwal, Himanshu, et al.
Pubblicazione: (2026)

Mechanistic Interpretability of Brain-to-Speech Models Across Speech Modes
di: Maghsoudi, Maryam, et al.
Pubblicazione: (2026)

reward-lens: A Mechanistic Interpretability Library for Reward Models
di: Nadaf, Mohammed Suhail B
Pubblicazione: (2026)

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models
di: Lin, Zihao, et al.
Pubblicazione: (2025)

Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability
di: Geiger, Atticus, et al.
Pubblicazione: (2023)

Mechanistic Interpretability of GPT-like Models on Summarization Tasks
di: Mishra, Anurag
Pubblicazione: (2025)

Towards a Systematic Evaluation of Hallucinations in Large-Vision Language Models
di: Seth, Ashish, et al.
Pubblicazione: (2024)

Auditing Disability Representation in Vision-Language Models
di: Panda, Srikant, et al.
Pubblicazione: (2026)

The Security Threat of Compressed Projectors in Large Vision-Language Models
di: Zhang, Yudong, et al.
Pubblicazione: (2025)

MINAR: Mechanistic Interpretability for Neural Algorithmic Reasoning
di: He, Jesse, et al.
Pubblicazione: (2026)

Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
di: Tao, Stone, et al.
Pubblicazione: (2024)

Towards Ethical Multi-Agent Systems of Large Language Models: A Mechanistic Interpretability Perspective
di: Lee, Jae Hee, et al.
Pubblicazione: (2025)

On the Mechanistic Interpretability of Neural Networks for Causality in Bio-statistics
di: Conan, Jean-Baptiste A.
Pubblicazione: (2025)