Invited Talks

• 2024/25 - MIT. Developing Effective Long-Context Language Models.
• 2024/10 - COS 597R (Deep Dive into Large Language Models; instructors: Prof. Danqi Chen and Prof. Sanjeev Arora), Princeton University. Long-Context Language Models.
• 2024/10 - Princeton Research Computing. Using Large Language Models in your Research: Fine-Tuning, Embeddings, and Using APIs.
• 2024/09 - Google Deepmind. A Way to ProLong: A Recipe for Effectively Extending Context Windows for Language Models.
• 2024/04 - CS 6501 (Natural Language Processing; instructor: Prof. Yu Meng), UVA. Language Models as the New Search Engines.
• 2024/04 - CSCI-SHU 376 (Natural Language Processing; instructor: Prof. Chen Zhao), NYU Shanghai. Language Models as the New Search Engines.
• 2024/03 - 15-442/642 (Machine Learning Systems; instructor: Prof. Zhihao Jia), CMU. Language Models as the New Search Engines.
• 2024/03 - FAI-seminar. Long-Context Language Modeling with Parallel Context Encoding.
• 2024/02 - UMass NLP Seminar. Enabling Large Language Models to Generate Text with Citations.
• 2024/02 - COS 598D (Advanced Topics in Computer Science: Systems and Machine Learning; instructor: Prof. Kai Li), Princeton University. Pre-trained Large Language Models.
• 2023/11 - THUNLP Seminar, Tsinghua University. Enabling LLMs to Generate Text with Citations.
• 2023/06 - Semantic Machines. Enabling Large Language Models to Generate Text with Citations.
• 2023/06 - Apple. Enabling Large Language Models to Generate Text with Citations.
• 2023/06 - SingleStore. Enabling Large Language Models to Generate Text with Citations.
• 2023/06 - MLNLP Seminar. Enabling Large Language Models to Generate Text with Citations (in Chinese).
• 2022/06 - AI Time. Ditch the Gold Standard: Re-evaluating Conversational Question Answering (in Chinese).
• 2021/07 - Cohere. Simple Contrastive Learning of Sentence Embeddings.
• 2021/04 - ASAPP. Simple Contrastive Learning of Sentence Embeddings.