Dialogue State Tracking

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

7 leaderboard tables shown for this task, 7 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

13 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

30 shown of 138 papers with code (300 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.

• Language Models are Unsupervised Multitask Learners
  14 Feb 2019 21 repositories listed
  Natural language processing tasks, such as question answering, machine translation, reading comprehension, and summarization, are typically approached with supervised learning on taskspecific datasets.
• MultiWOZ 2.1: A Consolidated Multi-Domain Dialogue Dataset with State Corrections and State Tracking Baselines
  2 Jul 2019 6 repositories listed Syntology ran 2 of 23 samples · 21 unverified
  To fix the noisy state annotations, we use crowdsourced workers to re-annotate state and utterances based on the original utterances in the dataset.
• KLUE: Korean Language Understanding Evaluation
  20 May 2021 4 repositories listed
  We introduce Korean Language Understanding Evaluation (KLUE) benchmark.
• Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset
  12 Sep 2019 4 repositories listed
  In this work, we introduce the the Schema-Guided Dialogue (SGD) dataset, containing over 16k multi-domain conversations spanning 16 domains.
• PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
  10 Sep 2021 3 repositories listed Syntology ran 4 of 7 samples · 3 unverified
  Large pre-trained language models for textual data have an unconstrained output space; at each decoding step, they can produce any of 10, 000s of sub-word tokens.
• MultiWOZ 2.3: A multi-domain task-oriented dialogue dataset enhanced with annotation corrections and co-reference annotation
  12 Oct 2020 3 repositories listed
  In this paper, we introduce MultiWOZ 2.
• Efficient Dialogue State Tracking by Selectively Overwriting Memory
  10 Nov 2019 3 repositories listed
  This mechanism consists of two steps: (1) predicting state operation on each of the memory slots, and (2) overwriting the memory with new values, of which only a few are generated according to the predicted state…
• CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
  11 Sep 2019 3 repositories listed Syntology ran 1 of 11 samples · 10 unverified
  We present CoSQL, a corpus for building cross-domain, general-purpose database (DB) querying dialogue systems.
• Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
  2 Sep 2019 3 repositories listed
  We focus on the cross-domain context-dependent text-to-SQL generation task.
• Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics
  15 Dec 2021 2 repositories listed
  Recent works that revealed the vulnerability of dialogue state tracking (DST) models to distributional shifts have made holistic comparisons on robustness and qualitative analyses increasingly important for…
• Few-Shot Bot: Prompt-Based Learning for Dialogue Systems
  15 Oct 2021 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  A simple yet unexplored solution is prompt-based few-shot learning (Brown et al.
• 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.
• Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking
  10 May 2021 2 repositories listed
  Zero-shot cross-domain dialogue state tracking (DST) enables us to handle task-oriented dialogue in unseen domains without the expense of collecting in-domain data.
• Structured Prediction as Translation between Augmented Natural Languages
  14 Jan 2021 2 repositories listed
  We propose a new framework, Translation between Augmented Natural Languages (TANL), to solve many structured prediction language tasks including joint entity and relation extraction, nested named entity recognition,…
• Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing
  5 Jan 2021 2 repositories listed
  Semantic parsing has long been a fundamental problem in natural language processing.
• CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
  24 Oct 2020 2 repositories listed Syntology ran 9 of 10 samples · 1 unverified
  Dialogue state trackers have made significant progress on benchmark datasets, but their generalization capability to novel and realistic scenarios beyond the held-out conversations is less understood.
• Jointly Optimizing State Operation Prediction and Value Generation for Dialogue State Tracking
  24 Oct 2020 2 repositories listed
  However, in such a stacked encoder-decoder structure, the operation prediction objective only affects the BERT encoder and the value generation objective mainly affects the RNN decoder.
• CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
  27 Feb 2020 2 repositories listed
  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 Chinese Cross-Domain Wizard-of-Oz task-oriented…
• Schema-Guided Dialogue State Tracking Task at DSTC8
  2 Feb 2020 2 repositories listed
  The goal of this task is to develop dialogue state tracking models suitable for large-scale virtual assistants, with a focus on data-efficient joint modeling across domains and zero-shot generalization to new APIs.
• Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering
  7 Nov 2019 2 repositories listed
  Multi-domain dialogue state tracking (DST) is a critical component for conversational AI systems.
• Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
  21 May 2019 2 repositories listed
  Over-dependence on domain ontology and lack of knowledge sharing across domains are two practical and yet less studied problems of dialogue state tracking.
• Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation
  31 Aug 2018 2 repositories listed
  However, the \emph{expensive nature of state labeling} and the \emph{weak interpretability} make the dialogue state tracking a challenging problem for both task-oriented and non-task-oriented dialogue generation: For…
• Global-Locally Self-Attentive Dialogue State Tracker
  19 May 2018 2 repositories listed Syntology ran 0 of 8 samples · 8 unverified · 3 pointer-only (licence)
  Dialogue state tracking, which estimates user goals and requests given the dialogue context, is an essential part of task-oriented dialogue systems.
• Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
  1 Jun 2017 2 repositories listed
  We present Attract-Repel, an algorithm for improving the semantic quality of word vectors by injecting constraints extracted from lexical resources.
• Counter-fitting Word Vectors to Linguistic Constraints
  2 Mar 2016 2 repositories listed
  In this work, we present a novel counter-fitting method which injects antonymy and synonymy constraints into vector space representations in order to improve the vectors' capability for judging semantic similarity.
• Know Your Mistakes: Towards Preventing Overreliance on Task-Oriented Conversational AI Through Accountability Modeling
  17 Jan 2025 1 repository listed
  The accountability model is an augmented LLM with an additional accountability head that functions as a binary classifier to predict the relevant slots of the dialogue state mentioned in the conversation.
• Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot
  30 Oct 2024 1 repository listed
  Goal-oriented chatbots are essential for automating user tasks, such as booking flights or making restaurant reservations.
• A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understanding
  24 Sep 2024 1 repository listed
  Dialogue State Tracking (DST) is crucial for understanding user needs and executing appropriate system actions in task-oriented dialogues.
• Confidence Estimation for LLM-Based Dialogue State Tracking
  15 Sep 2024 1 repository listed Syntology ran 10 of 12 samples · 2 unverified · 12 pointer-only (licence)
  We evaluate four methods for estimating confidence scores based on softmax, raw token scores, verbalized confidences, and a combination of these methods, using the area under the curve (AUC) metric to assess…
• TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation
  19 Aug 2024 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  A practical dialogue system requires the capacity for ongoing skill acquisition and adaptability to new tasks while preserving prior knowledge.

Syntology lines on 9 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.