Understanding Common Ground Misalignment in Goal-Oriented Dialog: A Case-Study with Ubuntu Chat Logs
Rupak Sarkar, Neha Srikanth, Taylor Pellegrin, Rachel Rudinger, Claire Bonial, Philip Resnik
Abstract
While it is commonly accepted that maintaining common ground plays a role in conversational success, little prior research exists connecting conversational grounding to success in task-oriented conversations. We study failures of grounding in the Ubuntu IRC dataset, where participants use text-only communication to resolve technical issues. We find that disruptions in conversational flow often stem from a misalignment in common ground, driven by a divergence in beliefs and assumptions held by participants. These disruptions, which we call conversational friction, significantly correlate with task success. We find that although LLMs can identify overt cases of conversational friction, they struggle with subtler and more context-dependent instances requiring pragmatic or domain-specific reasoning.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext f90eecb0-60c5-4654-8684-c57fcbe7a5eeCited by top-tier papers1
Ask how each one uses itBuilds on4
- MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative TasksCristian-Paul Bara, Sky CH-Wang, Joyce ChaiEMNLP 2021 · 28 citations
- Navigating Rifts in Human-LLM Grounding: Study and BenchmarkOmar Shaikh, Hussein Mozannar, Gagan Bansal, Adam Fourney et al.ACL 2025 · 21 citations
- Natural Language Decompositions of Implicit Content Enable Better Text RepresentationsAlexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip ResnikEMNLP 2023 · 3 citations
- Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination TrendsSanjana Ramprasad, Elisa Ferracane, Zachary C. LiptonACL 2024
Related papers
- Evaluating the Effectiveness of Large Language Models in Establishing Conversational GroundingBiswesh Mohapatra, Manav Nitin Kapadnis, Laurent Romary, Justine CassellEMNLP 2024 · 1 citation
- An Annotated Corpus of Reference Resolution for Interpreting Common GroundingTakuma Udagawa, Akiko AizawaAAAI 2020 · 10 citations
- Can LLMs Ground when they (Don't) Know: A Study on Direct and Loaded Political QuestionsClara Lachenmaier, Judith Sieker, Sina ZarrießACL 2025
- End-to-End Deep Reinforcement Learning for Conversation DisentanglementKaran Bhukar, Harshit Kumar, Dinesh Raghu, Ajay GuptaAAAI 2023 · 3 citations
- Online Conversation Disentanglement with Pointer NetworksTao Yu, Shafiq R. JotyEMNLP 2020 · 2 citations
