User simulation for evaluating information access systems
With the emergence of various information access systems exhibiting increasing complexity,
there is a critical need for sound and scalable means of automatic evaluation. To address …
there is a critical need for sound and scalable means of automatic evaluation. To address …
Leveraging large language models in conversational recommender systems
L Friedman, S Ahuja, D Allen, Z Tan… - arXiv preprint arXiv …, 2023 - arxiv.org
A Conversational Recommender System (CRS) offers increased transparency and control to
users by enabling them to engage with the system through a real-time multi-turn dialogue …
users by enabling them to engage with the system through a real-time multi-turn dialogue …
Towards human-centered proactive conversational agents
Recent research on proactive conversational agents (PCAs) mainly focuses on improving
the system's capabilities in anticipating and planning action sequences to accomplish tasks …
the system's capabilities in anticipating and planning action sequences to accomplish tasks …
Large language model augmented narrative driven recommendations
Narrative-driven recommendation (NDR) presents an information access problem where
users solicit recommendations with verbose descriptions of their preferences and context, for …
users solicit recommendations with verbose descriptions of their preferences and context, for …
Prompting and evaluating large language models for proactive dialogues: Clarification, target-guided, and non-collaboration
Conversational systems based on Large Language Models (LLMs), such as ChatGPT, show
exceptional proficiency in context understanding and response generation. However …
exceptional proficiency in context understanding and response generation. However …
Generative Echo Chamber? Effect of LLM-Powered Search Systems on Diverse Information Seeking
Large language models (LLMs) powered conversational search systems have already been
used by hundreds of millions of people, and are believed to bring many benefits over …
used by hundreds of millions of people, and are believed to bring many benefits over …
Exploiting simulated user feedback for conversational search: Ranking, rewriting, and beyond
This research aims to explore various methods for assessing user feedback in mixed-
initiative conversational search (CS) systems. While CS systems enjoy profuse …
initiative conversational search (CS) systems. While CS systems enjoy profuse …
[图书][B] Neural approaches to conversational information retrieval
A conversational information retrieval (CIR) system is an information retrieval (IR) system
with a conversational interface, which allows users to interact with the system to seek …
with a conversational interface, which allows users to interact with the system to seek …
Query performance prediction: From ad-hoc to conversational search
Query performance prediction (QPP) is a core task in information retrieval. The QPP task is
to predict the retrieval quality of a search system for a query without relevance judgments …
to predict the retrieval quality of a search system for a query without relevance judgments …
PACIFIC: towards proactive conversational question answering over tabular and textual data in finance
To facilitate conversational question answering (CQA) over hybrid contexts in finance, we
present a new dataset, named PACIFIC. Compared with existing CQA datasets, PACIFIC …
present a new dataset, named PACIFIC. Compared with existing CQA datasets, PACIFIC …