Papers by Minkyoung Song
Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence (2026.acl-long)
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| Challenge: | Existing methods for standard generation tasks fail to capture the unique dynamics of ICL. |
| Approach: | They propose a concept of self-function vectors that leverage Bayesian views and the mechanistic interpretability of ICL to model latent concept learned during in-context prompting. |
| Outcome: | The proposed framework can be used for trustworthy-related applications, such as hallucination detection. |