[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  WebAgentlab@ICML25 ✈️ [@webagentlab](/creator/twitter/webagentlab) on x XXX followers Created: 2025-07-04 02:26:26 UTC LineRetriever: Planning-Aware Observation Reduction for Web Agents LineRetriever is a novel method that enhances web agent performance by intelligently reducing observation size through planning-aware retrieval, allowing for more efficient navigation while maintaining decision-making effectiveness within context limits. Imene Kerboua, Sahar Omidi Shayegan @sahar_shayegan , Megh Thakkar @Megh1211 , Xing Han Lù @xhluca , Massimo Caccia @MassCaccia , Véronique Eglin, Alexandre Aussem, Jérémy Espinas, Alexandre Lacoste @alex_lacoste_ INSA Lyon; Esker; ServiceNow Research; Mila AI Institute; McGill University; Université Claude Bernard Lyon 1; LIRIS  XX engagements  [Post Link](https://x.com/webagentlab/status/1940960364189102511)
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
WebAgentlab@ICML25 ✈️ @webagentlab on x XXX followers
Created: 2025-07-04 02:26:26 UTC
LineRetriever: Planning-Aware Observation Reduction for Web Agents
LineRetriever is a novel method that enhances web agent performance by intelligently reducing observation size through planning-aware retrieval, allowing for more efficient navigation while maintaining decision-making effectiveness within context limits.
Imene Kerboua, Sahar Omidi Shayegan @sahar_shayegan , Megh Thakkar @Megh1211 , Xing Han Lù @xhluca , Massimo Caccia @MassCaccia , Véronique Eglin, Alexandre Aussem, Jérémy Espinas, Alexandre Lacoste @alex_lacoste_
INSA Lyon; Esker; ServiceNow Research; Mila AI Institute; McGill University; Université Claude Bernard Lyon 1; LIRIS
XX engagements
/post/tweet::1940960364189102511