Cover Image

BlackboxNLP-2025 MIB Shared Task: Improving Circuit Faithfulness via Better Edge Selection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nikankin, Yaniv, Arad, Dana, Itzhak, Itay, Reusch, Anja, Simhi, Adi, Kesten-Pomeranz, Gal, Belinkov, Yonatan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Findings of the BlackboxNLP 2025 Shared Task: Localizing Circuits and Causal Variables in Language Models
by: Arad, Dana, et al.
Published: (2025)

Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs
by: Nikankin, Yaniv, et al.
Published: (2025)

BlackboxNLP-2025 MIB Shared Task: Exploring Ensemble Strategies for Circuit Localization Methods
by: Mondorf, Philipp, et al.
Published: (2025)

Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics
by: Nikankin, Yaniv, et al.
Published: (2024)

Trust Me, I'm Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer
by: Simhi, Adi, et al.
Published: (2025)

Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models
by: Pomerants, Gal, et al.
Published: (2026)

ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs
by: Simhi, Adi, et al.
Published: (2025)

HACK: Hallucinations Along Certainty and Knowledge Axes
by: Simhi, Adi, et al.
Published: (2025)

MIB: A Mechanistic Interpretability Benchmark
by: Mueller, Aaron, et al.
Published: (2025)

Reverse-Engineering the Retrieval Process in GenIR Models
by: Reusch, Anja, et al.
Published: (2025)

Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs
by: Itzhak, Itay, et al.
Published: (2025)

Distinguishing Ignorance from Error in LLM Hallucinations
by: Simhi, Adi, et al.
Published: (2024)

Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs
by: Simhi, Adi, et al.
Published: (2024)

ReFACT: Updating Text-to-Image Models by Editing the Text Encoder
by: Arad, Dana, et al.
Published: (2023)

SAEs Are Good for Steering -- If You Select the Right Features
by: Arad, Dana, et al.
Published: (2025)

Reasoning Models Know What's Important, and Encode It in Their Activations
by: Nikankin, Yaniv, et al.
Published: (2026)

Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias
by: Itzhak, Itay, et al.
Published: (2023)

From Feelings to Metrics: Understanding and Formalizing How Users Vibe-Test LLMs
by: Itzhak, Itay, et al.
Published: (2026)

Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms
by: Hanna, Michael, et al.
Published: (2024)

Old Habits Die Hard: How Conversational History Geometrically Traps LLMs
by: Simhi, Adi, et al.
Published: (2026)

Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines
by: Toker, Michael, et al.
Published: (2024)

CRISP: Persistent Concept Unlearning via Sparse Autoencoders
by: Ashuach, Tomer, et al.
Published: (2025)

Differentiable Faithfulness Alignment for Cross-Model Circuit Transfer
by: Shao, Shun, et al.
Published: (2026)

Mechanisms of Prompt-Induced Hallucination in Vision-Language Models
by: Rudman, William, et al.
Published: (2026)

Measuring Chain of Thought Faithfulness by Unlearning Reasoning Steps
by: Tutek, Martin, et al.
Published: (2025)

ContraSim -- Analyzing Neural Representations Based on Contrastive Learning
by: Rahamim, Adir, et al.
Published: (2023)

Position-aware Automatic Circuit Discovery
by: Haklay, Tal, et al.
Published: (2025)

Short Solutions To Homogenous Linear congruences
by: Simhi, Omer
Published: (2024)

Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models
by: Toker, Michael, et al.
Published: (2025)

Interpolating Parametrized Quantum Circuits using Blackbox Queries
by: Simon, Lars, et al.
Published: (2023)

Investigating the Development of Task-Oriented Communication in Vision-Language Models
by: Carmeli, Boaz, et al.
Published: (2026)

Are formal and functional linguistic mechanisms dissociated in language models?
by: Hanna, Michael, et al.
Published: (2025)

REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space
by: Ashuach, Tomer, et al.
Published: (2024)

Accelerating the Global Aggregation of Local Explanations
by: Mor, Alon, et al.
Published: (2023)

Measures of Information Reflect Memorization Patterns
by: Bansal, Rachit, et al.
Published: (2022)

CtD: Composition through Decomposition in Emergent Communication
by: Carmeli, Boaz, et al.
Published: (2026)

Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information
by: Iskander, Shadi, et al.
Published: (2024)

Concept-Best-Matching: Evaluating Compositionality in Emergent Communication
by: Carmeli, Boaz, et al.
Published: (2024)

Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
by: Yu, Zeping, et al.
Published: (2025)

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
by: Marks, Samuel, et al.
Published: (2024)