PaperBridge is a human–AI co-exploration system designed to assist researchers in synthesizing their publications into coherent, context-adaptive research narratives. By leveraging large language models (LLMs), PaperBridge facilitates both top-down and bottom-up narrative construction, enabling users to explore diverse perspectives and organize their work effectively. ()
Key Features and Functionality:
- Bi-Directional Analysis Engine: Supports iterative exploration through user-defined organization structures and thematic paper groupings, allowing for flexible narrative development.
- Paper Management Module: Automatically retrieves and categorizes a user's publication list, providing an initial topic-based organization that can be customized.
- Narrative Exploration Workspace: Offers multi-perspective exploration of narrative structures, generating candidate groupings and contribution statements to aid in narrative refinement.
- Slide Draft Preview: Transforms curated narratives into presentation-ready slide sequences, streamlining the preparation of academic presentations.
Primary Value and User Solutions:
PaperBridge addresses the challenge of assembling scholarly work into compelling narratives, particularly for interdisciplinary researchers whose output spans diverse domains and publication venues. By integrating automatic paper clustering, narrative spark generation, and editable slide deck creation, it reduces cognitive overhead and enhances the efficiency of academic communication tasks. User studies have demonstrated high usability, indicating its effectiveness in facilitating the exploration of alternative research narratives. ()
