27 citations · 41 across the 6 of their papers we have counts for
6 papers · 1 filter
Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration
Chenyang Lyu, Minghao Wu, Longyue Wang +5
Although instruction-tuned large language models (LLMs) have exhibited remarkable capabilities across various NLP tasks, their effectiveness on other data modalities beyond text ha…
QAScore -- An Unsupervised Unreferenced Metric for the Question Generation Evaluation
Tianbo Ji, Chenyang Lyu, Gareth Jones +2
Question Generation (QG) aims to automate the task of composing questions for a passage with a set of chosen answers found within the passage. In recent years, the introduction of…
Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains
Chenyang Lyu, Jennifer Foster, Yvette Graham
Past works that investigate out-of-domain performance of QA systems have mainly focused on general domains (e.g. news domain, wikipedia domain), underestimating the importance of s…
Achieving Reliable Human Assessment of Open-Domain Dialogue Systems
Tianbo Ji, Yvette Graham, Gareth J. F. Jones +2
Evaluation of open-domain dialogue systems is highly challenging and development of better techniques is highlighted time and again as desperately needed. Despite substantial effor…
Improving Unsupervised Question Answering via Summarization-Informed Question Generation
Chenyang Lyu, Lifeng Shang, Yvette Graham +3
Question Generation (QG) is the task of generating a plausible question for a given <passage, answer> pair. Template-based QG uses linguistically-informed heuristics to transform d…
Improving Document-Level Sentiment Analysis with User and Product Context
Chenyang Lyu, Jennifer Foster, Yvette Graham
Past work that improves document-level sentiment analysis by encoding user and product information has been limited to considering only the text of the current review. We investiga…