mechanistic analysis

Good Arguments Against the People Pleasers: How Reasoning Mitigates (Yet Masks) LLM Sycophancy ACL 2026 METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models ACL 2026 Why LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations ACL 2026 Anchored Answers: Unravelling Positional Bias in GPT-2’s Multiple-Choice Questions ACL 2025 How do autoregressive transformers solve full addition? EMNLP 2025 Memory or Reasoning? Explore How LLMs Compute Mixed Arithmetic Expressions ACL 2025 Modular Arithmetic: Language Models Solve Math Digit by Digit IJCNLP 2025 Moral Self-correction is Not An Innate Capability in Language Models IJCNLP 2025 Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline EMNLP 2025 Quantifying Logical Consistency in Transformers via Query-Key Alignment EMNLP 2025 Representing Rule-based Chatbots with Transformers NAACL 2025 Sparse Latents Steer Retrieval-Augmented Generation ACL 2025 The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate It EMNLP 2025 Why Safeguarded Ships Run Aground? Aligned Large Language Models’ Safety Mechanisms Tend to Be Anchored in The Template Region ACL 2025 A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task ACL 2024 Pre-trained Large Language Models Use Fourier Features to Compute Addition NeurIPS 2024 Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models EMNLP 2024 Why do LLaVA Vision-Language Models Reply to Images in English? EMNLP 2024 Characterizing Mechanisms for Factual Recall in Language Models EMNLP 2023 Tracr: Compiled Transformers as a Laboratory for Interpretability NeurIPS 2023