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Conversational agents: Goals, technologies, vision and challenges
In recent years, conversational agents (CAs) have become ubiquitous and are a presence in
our daily routines. It seems that the technology has finally ripened to advance the use of CAs …
our daily routines. It seems that the technology has finally ripened to advance the use of CAs …
Recent advances and challenges in task-oriented dialog systems
Due to the significance and value in human-computer interaction and natural language
processing, task-oriented dialog systems are attracting more and more attention in both …
processing, task-oriented dialog systems are attracting more and more attention in both …
Soloist: Building Task Bots at Scale with Transfer Learning and Machine Teaching
We present a new method, Soloist, that uses transfer learning and machine teaching to build
task bots at scale. We parameterize classical modular task-oriented dialog systems using a …
task bots at scale. We parameterize classical modular task-oriented dialog systems using a …
Archer: Training language model agents via hierarchical multi-turn rl
Y Zhou, A Zanette, J Pan, S Levine, A Kumar - ar** the hallucination of large language model chatbots by few-shot grounding on Wikipedia
This paper presents the first few-shot LLM-based chatbot that almost never hallucinates and
has high conversationality and low latency. WikiChat is grounded on the English Wikipedia …
has high conversationality and low latency. WikiChat is grounded on the English Wikipedia …
[PDF][PDF] Soloist: Few-shot task-oriented dialog with a single pretrained auto-regressive model
This paper presents a new method SOLOIST 1, which uses transfer learning to efficiently
build task-oriented dialog systems at scale. We parameterize a dialog system using a …
build task-oriented dialog systems at scale. We parameterize a dialog system using a …
Crosswoz: A large-scale chinese cross-domain task-oriented dialogue dataset
To advance multi-domain (cross-domain) dialogue modeling as well as alleviate the
shortage of Chinese task-oriented datasets, we propose CrossWOZ, the first large-scale …
shortage of Chinese task-oriented datasets, we propose CrossWOZ, the first large-scale …
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 …
[KÖNYV][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 …
GPT-critic: Offline reinforcement learning for end-to-end task-oriented dialogue systems
Training a task-oriented dialogue agent can be naturally formulated as offline reinforcement
learning (RL) problem, where the agent aims to learn a conversational strategy to achieve …
learning (RL) problem, where the agent aims to learn a conversational strategy to achieve …