Abstract: In this talk I will talk about our participation ( University of Maryland and John's Hopkins University team) to TREC High Accuracy Retrieval of Document (HARD) track in both 2003 and 2004. I will first introduce the HARD experiment setting, then talk about interactive relevance feedback in HARD framework. I will also talk about building passage retrieval module for identifying sub-document unit that are highly relevant to user's queries. Our passage retrieval module was among the best in the track last year, but it is still far from matching to human performance. Finally, I will talk about some other interesting areas that HARD is trying to explore beyond plain batch news article document retrievals.