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DocHop introduces a benchmark for evaluating multi-hop reasoning in information-dense documents, focusing on chart-context integration in multimodal large language models, with experiments showing a significant gap between model and human performance.
Weasel is a trajectory selection method for offline training of web agents that improves out-of-domain generalization by balancing importance and diversity. It achieves up to 12.5x training speedups and improved performance across several benchmarks.