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Dekun Ma

3 accepted papers

2024

Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations

EMNLP 2024main

While language model (LM)-powered chatbots and generative search engines excel at answering concrete queries, discovering information in the terrain of unknown unknowns remains challenging for users. To emulate the common educational scenario where children/students learn by listening to and partici…

Cited by 14SourcePDFScholar
2022

Multi-Robot Scene Completion: Towards Task-Agnostic Collaborative Perception

CoRL 2022poster

Collaborative perception learns how to share information among multiple robots to perceive the environment better than individually done. Past research on this has been task-specific, such as detection or segmentation. Yet this leads to different information sharing for different tasks, hindering th…

Cited by 55SourcecodeScholar
2022

V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving

RA-L 2022

Vehicle-to-everything (V2X) communication techniques enable the collaboration between vehicles and many other entities in the neighboring environment, which could fundamentally improve the perception system for autonomous driving. However, the lack of a public dataset significantly restricts the res

Cited by 346SourceScholar