End-To-End Dialogue Modelling

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

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

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

8 shown of 8 papers with code (11 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.

• Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
  24 Nov 2019 6 repositories listed
  Conversations have an intrinsic one-to-many property, which means that multiple responses can be appropriate for the same dialog context.
• Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
  29 Sep 2021 2 repositories listed Syntology ran 0 of 10 samples · 10 unverified
  Pre-trained language models have been recently shown to benefit task-oriented dialogue (TOD) systems.
• GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection
  29 Nov 2021 1 repository listed
  Pre-trained models have proved to be powerful in enhancing task-oriented dialog systems.
• 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.
• AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models
  9 Feb 2021 1 repository listed
  Our model substantially outperforms the baseline on the MultiWOZ data and shows competitive performance with state of the art in both automatic and human evaluation.
• A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning
  17 Sep 2020 1 repository listed Syntology ran 4 of 10 samples · 6 unverified
  In this paper we aim at alleviating the reliance on belief state labels in building end-to-end dialog systems, by leveraging unlabeled dialog data towards semi-supervised learning.
• SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching
  11 May 2020 1 repository listed Syntology ran 1 of 3 samples · 2 unverified
  We present a new method SOLOIST that uses transfer learning and machine teaching to build task bots at scale.
• A Simple Language Model for Task-Oriented Dialogue
  2 May 2020 1 repository listed Syntology ran 3 of 14 samples · 11 unverified
  Task-oriented dialogue is often decomposed into three tasks: understanding user input, deciding actions, and generating a response.

Syntology lines on 5 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.