Mind2Web is the first large-scale dataset of real-world web tasks for developing generalist language-guided agents that complete complex actions on diverse websites.
Automatic task completion flows from web apis
3 Pith papers cite this work, alongside 59 external citations. Polarity classification is still indexing.
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ChunkGroupSHAP clusters semantically related chunks into shared cross-document features for listwise Shapley explanations of embedding-based rankings.
citing papers explorer
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Mind2Web: Towards a Generalist Agent for the Web
Mind2Web is the first large-scale dataset of real-world web tasks for developing generalist language-guided agents that complete complex actions on diverse websites.
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Listwise Explanation of Embedding-Based Rankings via Semantic Chunk Grouping
ChunkGroupSHAP clusters semantically related chunks into shared cross-document features for listwise Shapley explanations of embedding-based rankings.
- Enhancing AI Interpretability with Localised Architectures