Conversational Response Generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

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

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

17 shown of 17 papers with code (22 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.

• A Diversity-Promoting Objective Function for Neural Conversation Models
  11 Oct 2015 14 repositories listed Syntology ran 2 of 13 samples · 11 unverified
  Sequence-to-sequence neural network models for generation of conversational responses tend to generate safe, commonplace responses (e.
• MASS: Masked Sequence to Sequence Pre-training for Language Generation
  7 May 2019 7 repositories listed
  Pre-training and fine-tuning, e.
• DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
  1 Nov 2019 6 repositories listed Syntology ran 2 of 12 samples · 10 unverified · 12 pointer-only (licence)
  We present a large, tunable neural conversational response generation model, DialoGPT (dialogue generative pre-trained transformer).
• Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
  16 Sep 2018 4 repositories listed
  Responses generated by neural conversational models tend to lack informativeness and diversity.
• PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
  14 Apr 2020 2 repositories listed
  An extensive set of experiments show that PALM achieves new state-of-the-art results on a variety of language generation benchmarks covering generative question answering (Rank 1 on the official MARCO leaderboard),…
• Explainability for Transparent Conversational Information-Seeking
  6 May 2024 1 repository listed
  We design a user study to answer questions concerning the impact of (1) the quality of explanations enhancing the response on its usefulness and (2) ways of presenting explanations to users.
• Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation
  17 Aug 2023 1 repository listed
  However, synthesizing the top retrieved passages into a complete, relevant, and concise response is still an open challenge.
• PLACES: Prompting Language Models for Social Conversation Synthesis
  7 Feb 2023 1 repository listed Syntology ran 4 of 8 samples · 4 unverified · 8 pointer-only (licence)
  Collecting high quality conversational data can be very expensive for most applications and infeasible for others due to privacy, ethical, or similar concerns.
• DialoGen: Generalized Long-Range Context Representation for Dialogue Systems
  12 Oct 2022 1 repository listed
  In this work, we propose DialoGen, a novel encoder-decoder based framework for dialogue generation with a generalized context representation that can look beyond the last-k utterances.
• CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI
  29 May 2022 1 repository listed
  Finally, we provide baseline systems for these tasks and consider the function of speakers' personalities and emotions on conversation.
• RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
  7 Jun 2021 1 repository listed Syntology ran 2 of 9 samples · 7 unverified
  We use the evaluation framework to benchmark the widely used conversational DialoGPT model along with the adaptations of four debiasing methods.
• Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization
  26 May 2021 1 repository listed
  Current dialogue summarization systems usually encode the text with a number of general semantic features (e.
• DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances
  3 Dec 2020 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Recent advances in pre-trained language models have significantly improved neural response generation.
• PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation
  1 Dec 2020 1 repository listed
  However, generating personalized responses is still a challenging task since the leverage of predefined persona information is often insufficient.
• DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation
  1 Jul 2020 1 repository listed
  We present a large, tunable neural conversational response generation model, DIALOGPT (dialogue generative pre-trained transformer).
• Conversations with Search Engines: SERP-based Conversational Response Generation
  29 Apr 2020 1 repository listed
  In this paper, we address the problem of answering complex information needs by conversing conversations with search engines, in the sense that users can express their queries in natural language, and directly…
• Learning to Abstract for Memory-augmented Conversational Response Generation
  1 Jul 2019 1 repository listed
  In this work, we propose a memory-augmented generative model, which learns to abstract from the training corpus and saves the useful information to the memory to assist the response generation.

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.