Papers by Ilya Pershin

2 papers
Cross-Modal Conceptualization in Bottleneck Models (2023.emnlp-main)

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Challenge: Existing models that use text descriptions to predict labels are limited in their interpretations.
Approach: They propose to use text descriptions to guide the induction of concepts in CBMs . they propose to employ a more moderate assumption and instead use text to guide induction .
Outcome: The proposed model adopts a more moderate assumption and uses text descriptions to guide the induction of concepts.
Enhancing RLHF with Human Gaze Modeling (2025.emnlp-main)

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Challenge: Reinforcement Learning from Human Feedback (RLHF) is a powerful paradigm for aligning language models with human values and preferences.
Approach: They propose to use gaze-aware reward models and gaze-based distribution of sparse rewards to enhance RLHF.
Outcome: The proposed models achieve faster convergence while maintaining or slightly improving performance, reducing computational requirements during policy training.

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