mlsanityData to 14 Oct 2026

PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue

arXiv 2302.06674 ↗First posted 13 Feb 2023cs.CL cs.IRcited by 6

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Abstract (arXiv)

Identifying relevant persona or knowledge for conversational systems is critical to grounded dialogue response generation. However, each grounding has been mostly researched in isolation with more practical multi-context dialogue tasks introduced in recent works. We define Persona and Knowledge Dual Context Identification as the task to identify persona and knowledge jointly for a given dialogue, which could be of elevated importance in complex multi-context dialogue settings. We develop a novel grounding retrieval method that utilizes all contexts of dialogue simultaneously. Our method requires less computational power via utilizing neural QA retrieval models. We further introduce our novel null-positive rank test which measures ranking performance on semantically dissimilar samples (i.e. hard negatives) in relation to data augmentation.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 37 of its 43 references that are in the map. First posted on arXiv 13 Feb 2023.

Builds on

37 of 43 references.

References · 37

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25 more
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 3; 2025: 2; 2026: 1.

6 papers.

  1. 2024Hello Again! LLM-powered Personalized Agent for Long-term Dialoguecited by 123
  2. 2024Position: Towards Bidirectional Human-AI Alignmentcited by 18
  3. 2025Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomycited by 3
  4. 2025Exploring the Impact of Occupational Personas on Domain-Specific QAcited by 1
  5. 2026Multi-turn Conversational AI from Text to Multimodal Interaction: Data, Models, Evaluation, and Open Challengescited by 1
  6. 2024Bridging Information Gaps in Dialogues With Grounded Exchanges Using Knowledge Graphscited by 0