3 citations · 4 across the 6 of their papers we have counts for
6 papers
SimulatorArena: Are User Simulators Reliable Proxies for Multi-Turn Evaluation of AI Assistants?
Yao Dou, Michel Galley, Baolin Peng +6
Large language models (LLMs) are increasingly used in interactive applications, and human evaluation remains the gold standard for assessing their performance in multi-turn convers…
Stabilizing Black-Box Prompt Optimization with Textual Regularization and Signal Aggregation
MohammadReza Davari, Utkarsh Garg, Weixin Cai +1
An increasing number of NLP applications interact with large language models (LLMs) through black-box APIs, making prompt engineering critical for controlling model behavior. Recen…
CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng +7
Large Language Models are typically trained with next-turn rewards, limiting their ability to optimize for long-term interaction. As a result, they often respond passively to ambig…
SoftTiger: A Clinical Foundation Model for Healthcare Workflows
Ye Chen, Igor Couto, Wei Cai +2
We introduce SoftTiger, a clinical large language model (CLaM) designed as a foundation model for healthcare workflows. The narrative and unstructured nature of clinical notes is a…
Joint Repetition Suppression and Content Moderation of Large Language Models
Minghui Zhang, Alex Sokolov, Weixin Cai +1
Natural language generation (NLG) is one of the most impactful fields in NLP, and recent years have witnessed its evolution brought about by large language models (LLMs). As the ke…
Interactive Text Generation
Felix Faltings, Michel Galley, Baolin Peng +5
Users interact with text, image, code, or other editors on a daily basis. However, machine learning models are rarely trained in the settings that reflect the interactivity between…