Cover Image

LLMs Process Lists With General Filter Heads

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sharma, Arnab Sen, Rogers, Giordano, Shapira, Natalie, Bau, David
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
by: Karvonen, Adam, et al.
Published: (2025)

Rethinking Visual Information Processing in Multimodal LLMs
by: Kim, Dongwan, et al.
Published: (2025)

The Quest for the Right Mediator: Surveying Mechanistic Interpretability Through the Lens of Causal Mediation Analysis
by: Mueller, Aaron, et al.
Published: (2024)

Locating and Editing Factual Associations in Mamba
by: Sharma, Arnab Sen, et al.
Published: (2024)

You're (Not) My Type -- Can LLMs Generate Feedback of Specific Types for Introductory Programming Tasks?
by: Lohr, Dominic, et al.
Published: (2024)

Do explanations generalize across large reasoning models?
by: Pal, Koyena, et al.
Published: (2026)

Model Lakes
by: Pal, Koyena, et al.
Published: (2024)

Leveraging LLMs for Bangla Grammar Error Correction:Error Categorization, Synthetic Data, and Model Evaluation
by: Bhattacharyya, Pramit, et al.
Published: (2024)

Forget What You Know about LLMs Evaluations -- LLMs are Like a Chameleon
by: Cohen-Inger, Nurit, et al.
Published: (2025)

Uncovering the Computational Ingredients of Human-Like Representations in LLMs
by: Studdiford, Zach, et al.
Published: (2025)

BioVERSE: Representation Alignment of Biomedical Modalities to LLMs for Multi-Modal Reasoning
by: Tsou, Ching-Huei, et al.
Published: (2025)

The Anxiety of Influence: Bloom Filters in Transformer Attention Heads
by: Balogh, Peter
Published: (2026)

How RLHF Amplifies Sycophancy
by: Shapira, Itai, et al.
Published: (2026)

Language Models use Lookbacks to Track Beliefs
by: Prakash, Nikhil, et al.
Published: (2025)

Generative AI in Science: Applications, Challenges, and Emerging Questions
by: Harries, Ryan, et al.
Published: (2025)

Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
by: Kaur, Jivat Neet, et al.
Published: (2022)

The Two Sides of the Coin: Hallucination Generation and Detection with LLMs as Evaluators for LLMs
by: Bui, Anh Thu Maria, et al.
Published: (2024)

Debiasing LLMs by Masking Unfairness-Driving Attention Heads
by: Han, Tingxu, et al.
Published: (2025)

Atomic Calibration of LLMs in Long-Form Generations
by: Zhang, Caiqi, et al.
Published: (2024)

Evaluating Role-Consistency in LLMs for Counselor Training
by: Rudolph, Eric, et al.
Published: (2026)

Elucidating Mechanisms of Demographic Bias in LLMs for Healthcare
by: Ahsan, Hiba, et al.
Published: (2025)

Beyond Line-Level Filtering for the Pretraining Corpora of LLMs
by: Park, Chanwoo, et al.
Published: (2025)

HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation
by: Acosta, Julián N., et al.
Published: (2024)

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation
by: Fang, Sen, et al.
Published: (2025)

Hybrid Reward-Driven Reinforcement Learning for Efficient Quantum Circuit Synthesis
by: Giordano, Sara, et al.
Published: (2025)

Rethinking Explanations: Formalizing Contrast in Description Logics
by: Mahmood, Yasir, et al.
Published: (2026)

Discovering Forbidden Topics in Language Models
by: Rager, Can, et al.
Published: (2025)

Unveiling Hidden Links Between Unseen Security Entities
by: Alfasi, Daniel, et al.
Published: (2024)

Shared Lexical Task Representations Explain Behavioral Variability In LLMs
by: Yang, Zhuonan, et al.
Published: (2026)

Patched RTC: evaluating LLMs for diverse software development tasks
by: Sharma, Asankhaya
Published: (2024)

Feedback-Generation for Programming Exercises With GPT-4
by: Azaiz, Imen, et al.
Published: (2024)

The Collective Turing Test: Large Language Models Can Generate Realistic Multi-User Discussions
by: Bouleimen, Azza, et al.
Published: (2025)

How LLMs Are Persuaded: A Few Attention Heads, Rerouted
by: Sun, Xiangkun, et al.
Published: (2026)

Do LLMs Favor LLMs? Quantifying Interaction Effects in Peer Review
by: Sharma, Vibhhu, et al.
Published: (2026)

Dissecting Bias in LLMs: A Mechanistic Interpretability Perspective
by: Chandna, Bhavik, et al.
Published: (2025)

Rise of Generative Artificial Intelligence in Science
by: Ding, Liangping, et al.
Published: (2024)

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation
by: Luo, Yucong, et al.
Published: (2024)

Enhancing Temporal Awareness in LLMs for Temporal Point Processes
by: Chen, Lili, et al.
Published: (2025)

Context Misleads LLMs: The Role of Context Filtering in Maintaining Safe Alignment of LLMs
by: Kim, Jinhwa, et al.
Published: (2025)

NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models
by: Ho, Zheng Yi, et al.
Published: (2024)