Publications

You can also find my articles on my Google Scholar profile.

Conference & Workshop Papers

Evaluating Long-Form Forecasts by Their Effect on Downstream Predictions

ICML 2026 AI Forecasting Workshop, 2026

We propose evaluating long-form forecasts by how much they improve the accuracy of a downstream predictor on real-world events, rather than requiring a single ground-truth outcome.

Paper

Activation Steering for Conditional Molecular Generation

AI4Mat Workshop @ NeurIPS 2025, 2025

Using concept bottleneck models and activation steering, we enable conditional molecular generation by directly manipulating internal LLM representations.

Paper

Multilingual Assessment of Stereotypes in Large Language Models

NAACL 2025, 2025

We build and assess multilingual stereotypes across different LLMs.

Paper

Atypicality-Aware Calibration of LLMs for Medical QA

Findings of EMNLP 2024, 2024

We propose a novel method for eliciting LLM confidence in Medical QA by leveraging insights from medical atypical presentations.

Paper

Preprints

Calibrating Large Language Models with Concept Activation Vectors for Medical QA

Preprint, 2024

We propose a novel framework for calibrating LLM uncertainty through Concept Activation Vectors, improving safety and calibration in high-stakes medical decision making.

Jeremy Qin

Publications

Conference & Workshop Papers

Evaluating Long-Form Forecasts by Their Effect on Downstream Predictions

Activation Steering for Conditional Molecular Generation

Multilingual Assessment of Stereotypes in Large Language Models

Atypicality-Aware Calibration of LLMs for Medical QA

Preprints

Calibrating Large Language Models with Concept Activation Vectors for Medical QA