Infogent: An Agent-Based Framework for Web Information Aggregation (2025.findings-naacl)
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| Challenge: | Existing web navigation tasks evaluate web agents on task completion basis . however, information aggregation tasks have received relatively little attention . |
| Approach: | They propose a web navigation framework that uses three components for web information aggregation. |
| Outcome: | The proposed framework beats existing SOTA search framework by 7% under Direct API-Driven Access on FRAMES and improves over an existing information-seeking web agent by 4.3% under Interactive Visual Access on AssistantBench. |
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| Challenge: | Large language models excel in information seeking tasks, but their knowledge is limited in coverage and timeliness. |
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| Challenge: | Current methods for information extraction (IE) focus on integrating IE output with the database . a long-overlooked question is what counts as "relevant knowledge" |
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| Challenge: | Existing mobile AI agents focus on most task-relevant elements at each step, leading to local optimal solutions and ignoring the overall GUI flow. |
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