Papers by Carter Teplica
SCIURus: Shared Circuits for Interpretable Uncertainty Representations in Language Models (2025.naacl-long)
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| Challenge: | Existing methods for uncertainty quantification in large language models provide little insight into factors responsible for an uncertainty estimate, limiting their usefulness as practical tools for improving trustworthiness and understanding uncertainty reasoning. |
| Approach: | They adapt causal tracing and zero-ablation techniques to study the effect of different circuits on LLM generation to identify whether factuality of generated responses and uncertainty originate in separate or shared circuits. |
| Outcome: | The proposed methods use the well-established methods of causal tracing and zero-ablation to study the effect of different circuits on LLM generation. |