19 citations · 25 across the 8 of their papers we have counts for
8 papers
Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources
Alisia Lupidi, Carlos Gemmell, Nicola Cancedda +5
Synthetic data generation has recently emerged as a promising approach for enhancing the capabilities of large language models (LLMs) without the need for expensive human annotatio…
Open Assistant Toolkit -- version 2
Sophie Fischer, Federico Rossetto, Carlos Gemmell +5
We present the second version of the Open Assistant Toolkit (OAT-v2), an open-source task-oriented conversational system for composing generative neural models. OAT-v2 is a scalabl…
GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task Assistants
Sophie Fischer, Carlos Gemmell, Niklas Tecklenburg +3
We tackle the challenge of building real-world multimodal assistants for complex real-world tasks. We describe the practicalities and challenges of developing and deploying GRILLBo…
Generate, Transform, Answer: Question Specific Tool Synthesis for Tabular Data
Carlos Gemmell, Jeffrey Dalton
Tabular question answering (TQA) presents a challenging setting for neural systems by requiring joint reasoning of natural language with large amounts of semi-structured data. Unli…
GRILLBot: An Assistant for Real-World Tasks with Neural Semantic Parsing and Graph-Based Representations
Carlos Gemmell, Iain Mackie, Paul Owoicho +3
GRILLBot is the winning system in the 2022 Alexa Prize TaskBot Challenge, moving towards the next generation of multimodal task assistants. It is a voice assistant to guide users t…
VILT: Video Instructions Linking for Complex Tasks
Sophie Fischer, Carlos Gemmell, Iain Mackie +1
This work addresses challenges in developing conversational assistants that support rich multimodal video interactions to accomplish real-world tasks interactively. We introduce th…
CODEC: Complex Document and Entity Collection
Iain Mackie, Paul Owoicho, Carlos Gemmell +3
CODEC is a document and entity ranking benchmark that focuses on complex research topics. We target essay-style information needs of social science researchers, i.e. "How has the U…
Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback
Carlos Gemmell, Federico Rossetto, Jeffrey Dalton
Tools capable of automatic code generation have the potential to augment programmer's capabilities. While straightforward code retrieval is incorporated into many IDEs, an emerging…