Hiroaki Hayashi

Research scientist at Salesforce Research.

Interests

• Large Language Model training, finetuning, evaluation
• Software engineering LLM Agents
• Text summarization

Recent Work

• LLMs Get Lost In Multi-Turn Conversation Philippe Laban^*, Hiroaki Hayashi^*, Yingbo Zhou, Jennifer Neville
• CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification Jiacheng Xu, Bo Pang, Jin Qu, Hiroaki Hayashi, Caiming Xiong, Yingbo Zhou
• XGen-7B Technical Report Erik Nijkamp^*, Tian Xie^*, Hiroaki Hayashi^*, Bo Pang^*, Congying Xia^*, and others
• CodeGen2.5: Small, but mighty (Blog) Erik Nijkamp^*, Hiroaki Hayashi^*, Yingbo Zhou, Caiming Xiong
• CodeGen2: Lessons for Training LLMs on Programming and Natural Languages Erik Nijkamp^*, Hiroaki Hayashi^*, Caiming Xiong, Silvio Savarese, Yingbo Zhou
• CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis Erik Nijkamp^*, Bo Pang^*, Hiroaki Hayashi^*, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong
• Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig
• WikiAsp: A Dataset for Multi-domain Aspect-based Summarization Hiroaki Hayashi, Prashant Budania, Peng Wang, Chris Ackerson, Raj Neervannan, Graham Neubig
• GSum: A General Framework for Guided Neural Abstractive Summarization Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig