Dialogue Generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

13 leaderboard tables shown for this task, 13 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. 10 shown of 13 until expanded.

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

34 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 34 until expanded.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 265 papers with code (606 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.

• Neural Machine Translation by Jointly Learning to Align and Translate
  1 Sep 2014 124 repositories listed Syntology ran 21 of 44 samples · 23 unverified · 16 pointer-only (licence)
  Neural machine translation is a recently proposed approach to machine translation.
• TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
  23 Jan 2019 23 repositories listed Syntology ran 8 of 26 samples · 18 unverified · 7 pointer-only (licence)
  We introduce a new approach to generative data-driven dialogue systems (e.
• Personalizing Dialogue Agents: I have a dog, do you have pets too?
  22 Jan 2018 15 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Chit-chat models are known to have several problems: they lack specificity, do not display a consistent personality and are often not very captivating.
• Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset
  1 Nov 2018 9 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  One challenge for dialogue agents is recognizing feelings in the conversation partner and replying accordingly, a key communicative skill.
• MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
  5 Oct 2018 8 repositories listed
  We propose several strong multimodal baselines and show the importance of contextual and multimodal information for emotion recognition in conversations.
• Adversarial Learning for Neural Dialogue Generation
  23 Jan 2017 8 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  In this paper, drawing intuition from the Turing test, we propose using adversarial training for open-domain dialogue generation: the system is trained to produce sequences that are indistinguishable from…
• Deep Reinforcement Learning for Dialogue Generation
  5 Jun 2016 8 repositories listed
  Recent neural models of dialogue generation offer great promise for generating responses for conversational agents, but tend to be shortsighted, predicting utterances one at a time while ignoring their influence on…
• NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist
  15 May 2023 7 repositories listed
  Our proposed framework provides access: (i) for verifying whether automatic metrics are faithful to human preference, regardless of their correlation level to human; and (ii) for inspecting the strengths and limitations…
• PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation
  26 Apr 2021 5 repositories listed
  To enhance the generalization ability of PanGu-α, we collect 1.
• ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation
  26 Jan 2020 5 repositories listed
  Current pre-training works in natural language generation pay little attention to the problem of exposure bias on downstream tasks.
• Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent
  8 Jul 2019 4 repositories listed
  Multiple sequence to sequence models were used to establish an end-to-end multi-turns proactive dialogue generation agent, with the aid of data augmentation techniques and variant encoder-decoder structure designs.
• Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation
  2 Jun 2016 4 repositories listed
  We introduce the multiresolution recurrent neural network, which extends the sequence-to-sequence framework to model natural language generation as two parallel discrete stochastic processes: a sequence of high-level…
• G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
  29 Mar 2023 3 repositories listed Syntology ran 2 of 4 samples · 2 unverified
  In this work, we present G-Eval, a framework of using large language models with chain-of-thoughts (CoT) and a form-filling paradigm, to assess the quality of NLG outputs.
• PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation
  20 Sep 2021 3 repositories listed
  To explore the limit of dialogue generation pre-training, we present the models of PLATO-XL with up to 11 billion parameters, trained on both Chinese and English social media conversations.
• PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable
  17 Oct 2019 3 repositories listed
  Pre-training models have been proved effective for a wide range of natural language processing tasks.
• Text Generation from Knowledge Graphs with Graph Transformers
  4 Apr 2019 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Generating texts which express complex ideas spanning multiple sentences requires a structured representation of their content (document plan), but these representations are prohibitively expensive to manually produce.
• 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.
• Personalized Dialogue Generation with Diversified Traits
  28 Jan 2019 3 repositories listed
  In this paper, we investigate the problem of incorporating explicit personality traits in dialogue generation to deliver personalized dialogues.
• Wizard of Wikipedia: Knowledge-Powered Conversational agents
  3 Nov 2018 3 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  In open-domain dialogue intelligent agents should exhibit the use of knowledge, however there are few convincing demonstrations of this to date.
• DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text
  5 Feb 2018 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Existing text generation methods tend to produce repeated and "boring" expressions.
• End-to-end Adversarial Learning for Generative Conversational Agents
  28 Nov 2017 3 repositories listed
  This paper presents a new adversarial learning method for generative conversational agents (GCA) besides a new model of GCA.
• Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation
  29 Jun 2017 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  However, previous work in dialogue response generation has shown that these metrics do not correlate strongly with human judgment in the non task-oriented dialogue setting.
• An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
  29 Sep 2022 2 repositories listed Syntology ran 2 of 11 samples · 9 unverified
  Open-domain dialogue systems aim to interact with humans through natural language texts in an open-ended fashion.
• BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla
  23 May 2022 2 repositories listed
  This work presents BanglaNLG, a comprehensive benchmark for evaluating natural language generation (NLG) models in Bangla, a widely spoken yet low-resource language.
• PanGu-Bot: Efficient Generative Dialogue Pre-training from Pre-trained Language Model
  31 Mar 2022 2 repositories listed
  We investigate different aspects of responses generated by PanGu-Bot, including response quality, knowledge, and safety.
• Group-wise Contrastive Learning for Neural Dialogue Generation
  16 Sep 2020 2 repositories listed
  Neural dialogue response generation has gained much popularity in recent years.
• A Large-Scale Chinese Short-Text Conversation Dataset
  10 Aug 2020 2 repositories listed
  The cleaned dataset and the pre-training models will facilitate the research of short-text conversation modeling.
• Towards Controllable Biases in Language Generation
  1 May 2020 2 repositories listed
  We present a general approach towards controllable societal biases in natural language generation (NLG).
• A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation
  6 Feb 2020 2 repositories listed
  To address this, we propose a neural topical expansion framework, namely Persona Exploration and Exploitation (PEE), which is able to extend the predefined user persona description with semantically correlated content…
• A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data
  12 Nov 2019 2 repositories listed Syntology ran 2 of 12 samples · 10 unverified
  Further, to incorporate the target persona in the decoding process and to balance its contribution, an attention routing structure is devised in the decoder to merge features extracted from the target persona and…

Syntology lines on 13 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.