3 papers
cs.IR2026
Towards Retrieving Interaction Spaces for Agentic Search
Shengyao Zhuang, Yuansheng Ni, Hengxin Fun +2
Retrieval for search agents is still inherited from non-agentic information retrieval: a retriever ranks the corpus and the agent reads a small set of returned documents. Recent di…
cs.CL2021
Efficient Retrieval Optimized Multi-task Learning
Hengxin Fun, Sunil Gandhi, Sujith Ravi
Recently, there have been significant advances in neural methods for tackling knowledge-intensive tasks such as open domain question answering (QA). These advances are fueled by co…
cs.LG2018
Counting in Language with RNNs
Heng xin Fun, Sergiy V Bokhnyak, Francesco Saverio Zuppichini
In this paper we examine a possible reason for the LSTM outperforming the GRU on language modeling and more specifically machine translation. We hypothesize that this has to do wit…