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cs.IR2024
Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling
Jie Zou, Aixin Sun, Cheng Long +1
In conversational recommender systems (CRSs), conversations usually involve a set of items and item-related entities or attributes, e.g., director is a related entity of a movie. T…
cs.IR2024
Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics
Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan +3
Large language models (LLMs) often produce unsupported or unverifiable content, known as "hallucinations." To mitigate this, retrieval-augmented LLMs incorporate citations, groundi…
cs.IR2024
Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning
Georgios Sidiropoulos, Evangelos Kanoulas
Dense retrieval has become the new paradigm in passage retrieval. Despite its effectiveness on typo-free queries, it is not robust when dealing with queries that contain typos. Cur…