Lei Hou

Lei Hou is an Associate Professor in the Department of Computer Science and Technology at Tsinghua University. His research interests include Knowledge Graph and Large Language Model. He has published over 70 papers in top-tier journals and conferences as first author or corresponding author. Hou has served as a member of the Language and Knowledge Computing Committee of the Chinese Information Society and has reviewed for conferences such as AAAI, ACL, EMNLP, and TKDE. His work focuses on knowledge representation, acquisition, integration, and reasoning techniques in the knowledge engineering lifecycle, as well as the evaluation and enhancement of knowledge memorization, understanding, application, and creation abilities of large language models.

Lei Hou is a researcher at Tsinghua University specializing in Knowledge Graph and Large Language Model technologies. His work focuses on advancing the capabilities of language models through benchmarking, evaluation, and integration with knowledge bases. Hou's research includes developing benchmarks like Longbench and Rm-bench to assess long-context understanding and reward models, as well as exploring knowledge-enhanced pre-trained models. He has also contributed to multi-hop question answering, entity alignment, and neural collective entity linking. His publications highlight efforts to improve the reasoning, alignment, and transferability of language models in complex tasks.