Papers by Vikram Duvvur

1 papers
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks (2024.acl-long)

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Challenge: Existing benchmarks focus on text-based agents, neglecting many natural tasks that require visual information to effectively solve.
Approach: They propose a benchmark to assess the performance of multimodal web agents . they use visual and textual inputs to process and interpret natural language instructions .
Outcome: a new benchmark assesses the performance of multimodal agents on visually grounded tasks . the benchmark identifies limitations of text-only agents and offers insights towards building stronger agents for the web .

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