A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior | Paper Citation Record

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This paper cites Large Language Models for Software Engineering: A Systematic Literature Review,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Large Language Models for Software Engineering: A Systematic Literature Review,

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This paper cites A Survey on Large Language Models for Software Engineering,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior A Survey on Large Language Models for Software Engineering,

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Software Testing with Large Language Models: Survey, Landscape, and Vision,

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This paper cites A Systematic Approach for Assessing Large Language Models’ Test Case Generation Capability,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior A Systematic Approach for Assessing Large Language Models’ Test Case Generation Capability,

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Automated Repair of Programs from Large Language Models,

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This paper cites ThinkRepair: Self- Directed Automated Program Repair,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior ThinkRepair: Self- Directed Automated Program Repair,

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This paper cites LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision, and the Road Ahead,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision, and the Road Ahead,

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Observation 6ed6561a-6bdf-430e-9218-c594d0bfb1af · outbound

This paper cites Large Language Model-Based Agents for Software Engineering: A Sur- vey,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Large Language Model-Based Agents for Software Engineering: A Sur- vey,

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Observation 8b0fd84b-7a9f-4ec2-a859-d6fc4171ffc4 · outbound

This paper cites Precise Documentation: The Key to Better Software,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Precise Documentation: The Key to Better Software,

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Observation b8a3d815-88b4-4d8c-9a04-48685fd57531 · outbound

This paper cites Are Your Comments Out- dated? Toward Automatically Detecting Code-Comment Consistency,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Are Your Comments Out- dated? Toward Automatically Detecting Code-Comment Consistency,

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This paper cites Software Documentation: The Practitioners’ Perspec- tive,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Software Documentation: The Practitioners’ Perspec- tive,

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Observation 71d106c7-c853-4870-bd84-009f52196e9f · outbound

This paper cites Towards Detecting Inconsistent Comments in Java Source Code Automatically,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Towards Detecting Inconsistent Comments in Java Source Code Automatically,

Reference 12

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Observation c7c1f735-af69-4221-8501-9d91aec394b6 · outbound

This paper cites Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension,

Reference 13

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Observation 772440f3-ee2c-4bc1-8c1c-9023c653cf55 · outbound

This paper cites When Names Disappear: Revealing What LLMs Actually Understand About Code,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior When Names Disappear: Revealing What LLMs Actually Understand About Code,

Reference 14

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Observation 1daf260e-4a78-4f55-8f43-53bd06039ddd · outbound

This paper cites Bugs in Large Language Models Generated Code: An Empirical Study,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Bugs in Large Language Models Generated Code: An Empirical Study,

Reference 15

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This paper cites What Is Wrong with Your Code Generated by Large Language Models? An Extensive Study,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior What Is Wrong with Your Code Generated by Large Language Models? An Extensive Study,

Reference 16

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Observation 18e0108d-fd06-4fd0-8828-eb4ad480cbd8 · outbound

This paper cites Towards Best Practices of Activation Patching in Language Models: Metrics and Methods,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Towards Best Practices of Activation Patching in Language Models: Metrics and Methods,

Reference 17

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Observation 8d3f22bb-48d0-41a8-b6f2-730378c72173 · outbound

This paper cites How to use and interpret activation patching.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior How to use and interpret activation patching

Reference 18

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Observation 36f90b6f-2890-4a17-bd43-e9cfe8f1a87f · outbound

This paper cites Localizing Model Behavior with Path Patching.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Localizing Model Behavior with Path Patching

Reference 19

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Observation 148a2755-b459-40f1-8b05-817d4e358f6f · outbound

This paper cites Towards Automated Circuit Discovery for Mechanistic In- terpretability,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Towards Automated Circuit Discovery for Mechanistic In- terpretability,

Reference 20

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Observation 77ccf146-28f3-471a-9fcc-9daea89e2c81 · outbound

This paper cites Replication Package - Mechanistic Lens and Semantic Conflicts,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Replication Package - Mechanistic Lens and Semantic Conflicts,

Reference 21

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This paper cites Evaluating Large Language Models Trained on Code.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Evaluating Large Language Models Trained on Code

Reference 22

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Program Synthesis with Large Language Models

Reference 23

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Observation 116e6b1c-d157-410d-8c9c-b3bb1a399b0d · outbound

This paper cites Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation,

Reference 24

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This paper cites TestE- val: Benchmarking Large Language Models for Test Case Generation,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior TestE- val: Benchmarking Large Language Models for Test Case Generation,

Reference 25

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Observation 7671682e-fe05-4523-856d-0aa455621a04 · outbound

This paper cites Benchmarking LLMs for Unit Test Generation from Real-World Functions,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Benchmarking LLMs for Unit Test Generation from Real-World Functions,

Reference 26

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior TestForge: Feedback-Driven, Agentic Test Suite Generation

Reference 27

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Observation b2b4f1f9-ea7d-407f-ab42-283473759d3d · outbound

This paper cites Mutation-Guided Unit Test Generation with a Large Language Model.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Mutation-Guided Unit Test Generation with a Large Language Model

Reference 28

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This paper cites Correctness Assessment of Code Generated by Large Language Models Using Internal Representations,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Correctness Assessment of Code Generated by Large Language Models Using Internal Representations,

Reference 29

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Observation fbd0c770-ab4f-497d-a4f5-87a7a5200614 · outbound

This paper cites Model- Agnostic Quality Assessment for LLM-Generated Code via Dynamic Internal Representation Selection,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Model- Agnostic Quality Assessment for LLM-Generated Code via Dynamic Internal Representation Selection,

Reference 30

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Observation 870ed4b0-414a-478c-8349-70f91eeaf425 · outbound

This paper cites On LLMs’ Internal Rep- resentation of Code Correctness,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior On LLMs’ Internal Rep- resentation of Code Correctness,

Reference 31

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Observation 2281766c-ac91-49c9-b169-c4f8cda7a0b1 · outbound

This paper cites Mechanistic Interpretability of Code Correctness in LLMs via Sparse Autoencoders,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Mechanistic Interpretability of Code Correctness in LLMs via Sparse Autoencoders,

Reference 32

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior CodeCircuit: Toward Inferring LLM-Generated Code Correctness via Attribution Graphs,

Reference 33

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This paper cites Investigating Gender Bias in Language Models Using Causal Mediation Analysis,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Investigating Gender Bias in Language Models Using Causal Mediation Analysis,

Reference 34

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability,

Reference 35

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Locating and Editing Factual Associations in GPT,

Reference 36

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior In- terpretability in the Wild: A Circuit for Indirect Object Identification in GPT-2 Small,

Reference 37

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior A Mathematical Framework for Transformer Circuits,

Reference 38

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Scaling and Evaluating Sparse Autoencoders,

Reference 39

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior An Empir- ical Study on Code Comment Completion,

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Code Comment Inconsistency Detection with BERT and Longformer

Reference 41

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior The Effect of Comments on Program Comprehension: An Eye-tracking Study,

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior 9.6 Million Links in Source Code Comments: Purpose, Evolution, and Decay,

Reference 43

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Code Llama: Open Foundation Models for Code

Reference 44

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Observation c4e95a17-abe7-4043-8604-7a338bb5b512 · outbound

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Qwen2 Technical Report

Reference 45

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Mistral 7B

Reference 46

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Observation fb863da3-1713-4053-a63b-dcf62c3178a3 · outbound

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior The Llama 3 Herd of Models

Reference 47

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior TransformerLens,

Reference 48

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Note on the Sampling Error of the Difference Between Correlated Proportions or Percentages,

Reference 49

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Cohen,Statistical Power Analysis for the Behavioral Sciences

Reference 50

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Observation e49cdb80-8c10-46a4-820f-90dd768a0ca0 · outbound

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Individual Comparisons by Ranking Methods,

Reference 51

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior A Simple Sequentially Rejective Multiple Test Procedure,

Reference 52

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This paper cites An Empirical Study of the Non-Determinism of ChatGPT in Code Generation,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior An Empirical Study of the Non-Determinism of ChatGPT in Code Generation,

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This paper cites 40 Years of Designing Code Comprehension Experiments: A Systematic Mapping Study,.

A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior 40 Years of Designing Code Comprehension Experiments: A Systematic Mapping Study,

Reference 54

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Observation 543973a2-0a9b-481a-9eb3-d92fcab13272 · outbound

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A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior Open Science in Software Engineering,

Reference 55

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