Conversational Question Answering

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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

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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 63 papers with code (142 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.

• SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
  10 Dec 2018 6 repositories listed
  Conversational question answering (CQA) is a novel QA task that requires understanding of dialogue context.
• CoQA: A Conversational Question Answering Challenge
  21 Aug 2018 4 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  Humans gather information by engaging in conversations involving a series of interconnected questions and answers.
• Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling
  19 Dec 2022 3 repositories listed
  In this paper, we propose an unsupervised query enhanced approach for knowledge-intensive conversations, namely QKConv.
• APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning
  14 Dec 2022 3 repositories listed
  For the retriever, we adopt a number-aware negative sampling strategy to enable the retriever to be more discriminative on key numerical facts.
• 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.
• PCoQA: Persian Conversational Question Answering Dataset
  7 Dec 2023 2 repositories listed
  Our models include baseline models and pre-trained models, which are leveraged to boost the performance of the model.
• PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance
  8 Jun 2023 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  This paper introduces PIXIU, a comprehensive framework including the first financial LLM based on fine-tuning LLaMA with instruction data, the first instruction data with 136K data samples to support the fine-tuning,…
• KL-Divergence Guided Temperature Sampling
  2 Jun 2023 2 repositories listed
  One common approach to mitigate hallucinations is to provide source/grounding documents and the model is trained to produce predictions that bind to and are attributable to the provided source.
• Ditch the Gold Standard: Re-evaluating Conversational Question Answering
  16 Dec 2021 2 repositories listed
  In this work, we conduct the first large-scale human evaluation of state-of-the-art conversational QA systems, where human evaluators converse with models and judge the correctness of their answers.
• EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications
  18 Nov 2020 2 repositories listed
  The literature has witnessed the success of leveraging Pre-trained Language Models (PLMs) and Transfer Learning (TL) algorithms to a wide range of Natural Language Processing (NLP) applications, yet it is not easy to…
• Open-Domain Question Answering Goes Conversational via Question Rewriting
  10 Oct 2020 2 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  We introduce a new dataset for Question Rewriting in Conversational Context (QReCC), which contains 14K conversations with 80K question-answer pairs.
• Attentive History Selection for Conversational Question Answering
  26 Aug 2019 2 repositories listed
  First, we propose a positional history answer embedding method to encode conversation history with position information using BERT in a natural way.
• Preference-based Learning with Retrieval Augmented Generation for Conversational Question Answering
  28 Mar 2025 1 repository listed
  Conversational Question Answering (ConvQA) involves multiple subtasks, i) to understand incomplete questions in their context, ii) to retrieve relevant information, and iii) to generate answers.
• Simulating Task-Oriented Dialogues with State Transition Graphs and Large Language Models
  23 Apr 2024 1 repository listed
  In our experiments, using graph-guided response simulations leads to significant improvements in intent classification, slot filling and response relevance compared to naive single-prompt simulated conversations.
• Consistency Training by Synthetic Question Generation for Conversational Question Answering
  17 Apr 2024 1 repository listed Syntology ran 3 of 5 samples · 2 unverified
  In our novel model-agnostic approach, referred to as CoTaH (Consistency-Trained augmented History), we augment the historical information with synthetic questions and subsequently employ consistency training to train a…
• NORMY: Non-Uniform History Modeling for Open Retrieval Conversational Question Answering
  7 Feb 2024 1 repository listed
  A typical OrConvQA pipeline consists of three modules: a Retriever to retrieve relevant documents from the collection, a Reranker to rerank them given the question and the context, and a Reader to extract an answer span.
• Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs
  3 Jan 2024 1 repository listed
  Conversational question answering systems often rely on semantic parsing to enable interactive information retrieval, which involves the generation of structured database queries from a natural language input.
• Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions
  5 Dec 2023 1 repository listed
  Our framework involves two LLMs interacting on a specific topic, with the first LLM acting as a student, generating questions to explore a given search topic.
• On the Robustness of Question Rewriting Systems to Questions of Varying Hardness
  12 Nov 2023 1 repository listed
  In conversational question answering (CQA), the task of question rewriting~(QR) in context aims to rewrite a context-dependent question into an equivalent self-contained question that gives the same answer.
• GLaMM: Pixel Grounding Large Multimodal Model
  6 Nov 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  In this work, we present Grounding LMM (GLaMM), the first model that can generate natural language responses seamlessly intertwined with corresponding object segmentation masks.
• No that's not what I meant: Handling Third Position Repair in Conversational Question Answering
  31 Jul 2023 1 repository listed
  We demonstrate the usefulness of the data by training and evaluating strong baseline models for executing TPRs.
• Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning
  7 Jun 2023 1 repository listed
  To address this problem, we further introduce a novel contrastive learning strategy, making sure to reflect previous turns when retrieving the phrase for the current context, by maximizing representational similarities…
• Large Language Models Need Holistically Thought in Medical Conversational QA
  9 May 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  The medical conversational question answering (CQA) system aims at providing a series of professional medical services to improve the efficiency of medical care.
• Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks
  2 May 2023 1 repository listed
  In conversational question answering, users express their information needs through a series of utterances with incomplete context.
• Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement
  10 Feb 2023 1 repository listed
  Conversational Question Answering (ConvQA) models aim at answering a question with its relevant paragraph and previous question-answer pairs that occurred during conversation multiple times.
• Semantic Parsing for Conversational Question Answering over Knowledge Graphs
  28 Jan 2023 1 repository listed
  In this paper, we are interested in developing semantic parsers which understand natural language questions embedded in a conversation with a user and ground them to formal queries over definitions in a general purpose…
• Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question Answering
  21 Dec 2022 1 repository listed
  While transformer models achieve high performance on standard question answering tasks, we show that they fail to be semantically faithful once we perform these interventions for a significant number of cases (~50% for…
• Open-Domain Conversational Question Answering with Historical Answers
  17 Nov 2022 1 repository listed
  Open-domain conversational question answering can be viewed as two tasks: passage retrieval and conversational question answering, where the former relies on selecting candidate passages from a large corpus and the…
• PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance
  17 Oct 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  To facilitate conversational question answering (CQA) over hybrid contexts in finance, we present a new dataset, named PACIFIC.
• Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs
  9 Oct 2022 1 repository listed
  The majority of existing ConvQA methods rely on full supervision signals with a strict assumption of the availability of gold logical forms of queries to extract answers from the KG.

Syntology lines on 7 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.