Papers by Bilal Khan
ConText-LE: Cross-Distribution Generalization for Longitudinal Experiential Data via Narrative-Based LLM Representations (2025.findings-emnlp)
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| Challenge: | Longitudinal experiential data offers rich insights into dynamic human states, yet building models that generalize across diverse contexts remains challenging. |
| Approach: | They propose a framework that investigates text representation strategies and output formulations to maximize large language model cross-distribution generalization for behavioral forecasting. |
| Outcome: | The proposed framework achieves 12.28% improvement in out-of-distribution accuracy and 11.99% improvement in F1 scores over binary classification methods. |