태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
The problem of conversational web navigation is described as follow: a digital agent controls a web browser and follows user instructions to solve real-world tasks in a multi-turn dialogue fashion. It was introduced alongside the WebLINX benchmark (Lù, Kasner, Reddy, 2024), and complements tasks such as Autonomous Web Navigation. It is one of many problems tackled by generalist (web) agents.
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
WebLINX is a large-scale benchmark of 100K interactions across 2300 expert demonstrations of conversational web navigation. It covers a broad range of patterns on over 150 real-world websites and can be used to train and evaluate agents in diverse scenarios.
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.