9 citations · 29 across the 20 of their papers we have counts for
4 papers · 1 filter
Multi-trait User Simulation with Adaptive Decoding for Conversational Task Assistants
Rafael Ferreira, David Semedo, João Magalhães
Conversational systems must be robust to user interactions that naturally exhibit diverse conversational traits. Capturing and simulating these diverse traits coherently and effici…
Show and Guide: Instructional-Plan Grounded Vision and Language Model
Diogo Glória-Silva, David Semedo, João Magalhães
Guiding users through complex procedural plans is an inherently multimodal task in which having visually illustrated plan steps is crucial to deliver an effective plan guidance. Ho…
GlórIA -- A Generative and Open Large Language Model for Portuguese
Ricardo Lopes, João Magalhães, David Semedo
Significant strides have been made in natural language tasks, largely attributed to the emergence of powerful large language models (LLMs). These models, pre-trained on extensive a…
Plan-Grounded Large Language Models for Dual Goal Conversational Settings
Diogo Glória-Silva, Rafael Ferreira, Diogo Tavares +2
Training Large Language Models (LLMs) to follow user instructions has been shown to supply the LLM with ample capacity to converse fluently while being aligned with humans. Yet, it…