The authors add an LLM-powered summarization tool to the BIP! Finder search engine that generates cited, concise or review-style summaries of impact-ranked search results.
TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization
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abstract
This paper presents TL;DR Progress, a new tool for exploring the literature on neural text summarization. It organizes 514~papers based on a comprehensive annotation scheme for text summarization approaches and enables fine-grained, faceted search. Each paper was manually annotated to capture aspects such as evaluation metrics, quality dimensions, learning paradigms, challenges addressed, datasets, and document domains. In addition, a succinct indicative summary is provided for each paper, consisting of automatically extracted contextual factors, issues, and proposed solutions. The tool is available online at https://www.tldr-progress.de, a demo video at https://youtu.be/uCVRGFvXUj8
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cs.DL 1years
2025 1verdicts
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unclear 1representative citing papers
citing papers explorer
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Accelerating Scientific Discovery with Multi-Document Summarization of Impact-Ranked Papers
The authors add an LLM-powered summarization tool to the BIP! Finder search engine that generates cited, concise or review-style summaries of impact-ranked search results.