Co-occurring keywords · papers mentioning both
Papers
Circuit-Think: A Multimodal Reasoning Framework for Automated Circuit-to-Netlist Translation with Trajectory-Guided Reinforcement Learning
AAAI 2026
Emergence of Minimal Circuits for Indirect Object Identification in Attention-Only Transformers
ACL 2026
KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits
AAAI 2026
Uncovering Sentiment Analysis Circuit in Large Language Model
ACL 2026
Arithmetic Without Algorithms: Language Models Solve Math with a Bag of Heuristics
ICLR 2025
Circuit-Tracer: A New Library for Finding Feature Circuits
EMNLP 2025
Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information
ACL 2025
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning
NAACL 2025
Neuroplasticity and Corruption in Model Mechanisms: A Case Study Of Indirect Object Identification
NAACL 2025
The Same but Different: Structural Similarities and Differences in Multilingual Language Modeling
ICLR 2025
The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate It
EMNLP 2025
Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis
ICML 2025
Circuit Component Reuse Across Tasks in Transformer Language Models
ICLR 2024
How does GPT-2 Predict Acronyms? Extracting and Understanding a Circuit via Mechanistic Interpretability
AISTATS 2024
Hypothesis Testing the Circuit Hypothesis in LLMs
NeurIPS 2024
Information Flow Routes: Automatically Interpreting Language Models at Scale
EMNLP 2024
LLM Circuit Analyses Are Consistent Across Training and Scale
NeurIPS 2024
On the Similarity of Circuits across Languages: a Case Study on the Subject-verb Agreement Task
EMNLP 2024
Optimization Algorithm Design via Electric Circuits
NeurIPS 2024
Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models
EMNLP 2024
Transcoders find interpretable LLM feature circuits
NeurIPS 2024