Goal-Oriented Dialogue Systems

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

13 shown of 13 papers with code (46 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models
  23 Feb 2019 3 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Defining action spaces for conversational agents and optimizing their decision-making process with reinforcement learning is an enduring challenge.
• In-Context Learning User Simulators for Task-Oriented Dialog Systems
  1 Jun 2023 2 repositories listed
  This paper presents a novel application of large language models in user simulation for task-oriented dialog systems, specifically focusing on an in-context learning approach.
• Utterance-level Dialogue Understanding: An Empirical Study
  29 Sep 2020 2 repositories listed Syntology ran 0 of 11 samples · 11 unverified
  Most of these approaches account for the context for effective understanding.
• On the Use of Audio to Improve Dialogue Policies
  17 Oct 2024 1 repository listed
  With the significant progress of speech technologies, spoken goal-oriented dialogue systems are becoming increasingly popular.
• Learning Dialogue Representations from Consecutive Utterances
  26 May 2022 1 repository listed
  In this paper, we introduce Dialogue Sentence Embedding (DSE), a self-supervised contrastive learning method that learns effective dialogue representations suitable for a wide range of dialogue tasks.
• Knowledge-Driven Slot Constraints for Goal-Oriented Dialogue Systems
  1 Jun 2021 1 repository listed
  Practically, some combinations of slot values can be invalid according to external knowledge.
• Maintaining Common Ground in Dynamic Environments
  29 May 2021 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Common grounding is the process of creating and maintaining mutual understandings, which is a critical aspect of sophisticated human communication.
• On the Robustness of Intent Classification and Slot Labeling in Goal-oriented Dialog Systems to Real-world Noise
  14 Apr 2021 1 repository listed
  In this work, we investigate how robust IC/SL models are to noisy data.
• Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers
  30 Mar 2021 1 repository listed
  Generating knowledge grounded responses in both goal and non-goal oriented dialogue systems is an important research challenge.
• A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset
  27 Aug 2020 1 repository listed
  Dialog State Tracking (DST) is one of the most crucial modules for goal-oriented dialogue systems.
• Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task Learning
  28 Jan 2020 1 repository listed
  Since such models can greatly benefit from user intent and knowledge graph integration, in this paper we propose an RNN-based end-to-end encoder-decoder architecture which is trained with joint embeddings of the…
• NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager
  1 Aug 2018 1 repository listed
  We present bot{\#}1337: a dialog system developed for the 1st NIPS Conversational Intelligence Challenge 2017 (ConvAI).
• Sequential Dialogue Context Modeling for Spoken Language Understanding
  8 May 2017 1 repository listed
  We compare the performance of our proposed architecture with two context models, one that uses just the previous turn context and another that encodes dialogue context in a memory network, but loses the order of…

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.