Summary of Forecasting Live Chat Intent From Browsing History, by Se-eun Yoon et al.
Forecasting Live Chat Intent from Browsing Historyby Se-eun Yoon, Ahmad Bin Rabiah, Zaid Alibadi, Surya…
Forecasting Live Chat Intent from Browsing Historyby Se-eun Yoon, Ahmad Bin Rabiah, Zaid Alibadi, Surya…
Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviewsby Samantha Chan,…
EfficientRAG: Efficient Retriever for Multi-Hop Question Answeringby Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang,…
Digital Avatars: Framework Development and Their Evaluationby Timothy Rupprecht, Sung-En Chang, Yushu Wu, Lei Lu,…
Training LLMs to Recognize Hedges in Spontaneous Narrativesby Amie J. Paige, Adil Soubki, John Murzaku,…
EXAONE 3.0 7.8B Instruction Tuned Language Modelby LG AI Research, Soyoung An, Kyunghoon Bae, Eunbi…
Self-Taught Evaluatorsby Tianlu Wang, Ilia Kulikov, Olga Golovneva, Ping Yu, Weizhe Yuan, Jane Dwivedi-Yu, Richard…
On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agentsby Jen-tse Huang, Jiaxu Zhou, Tailin…
CEAR: Automatic construction of a knowledge graph of chemical entities and roles from scientific literatureby…
Tulip Agent – Enabling LLM-Based Agents to Solve Tasks Using Large Tool Librariesby Felix Ocker,…