[KongchangAI]
Benchmark

Mind2Web

An academic benchmark for web GUI understanding and automation, used to evaluate the ability of AI models to understand and execute multi-step tasks on real web interfaces.

Timeline (last 90 days)

Oct 14

Evaluating browser agents typically uses public benchmarks such as WebArena, WebVoyager, Mind2Web, and GAIA, measuring end-to-end success rate and step efficiency on multi-step tasks on real websites.

Unverified50%
Sep 18

Mind2Web and OSWorld are benchmarks based on static screenshots, allowing agents to make decisions on completely static interfaces.

Unverified50%
Sep 13

Mind2Web and ScreenAgent are GUI automation projects from academia that understand interface states through screenshots or accessibility trees.

Unverified50%
Sep 7

Mind2Web was proposed by Ohio State University and uses real website snapshots, focusing on evaluating a model's ability to generalize and execute tasks on websites it has never seen before.

Unverified50%
Sep 7

WebArena, MiniWoB++, and Mind2Web are early representative benchmarks in the browser automation field, focusing respectively on real website interaction, simplified web page operations, and cross-website generalization capability.

Unverified50%
Aug 31

Benchmarks such as WebArena and Mind2Web show that the current strongest web agents still achieve a success rate of less than 50% on complex web tasks.

Unverified50%

All Facts (6)

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