Understanding Common Ground Misalignment in Goal-Oriented Dialog: A Case-Study with Ubuntu Chat Logs
Fuente:
arXiv
Saved in:
| Main Authors: | Sarkar, Rupak, Srikanth, Neha, Hudson, Taylor, Rudinger, Rachel, Bonial, Claire, Resnik, Philip |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FRIDA to the Rescue! Analyzing Synthetic Data Effectiveness in Object-Based Common Sense Reasoning for Disaster Response
by: Shichman, Mollie, et al.
Published: (2025)
by: Shichman, Mollie, et al.
Published: (2025)
NLI under the Microscope: What Atomic Hypothesis Decomposition Reveals
by: Srikanth, Neha, et al.
Published: (2025)
by: Srikanth, Neha, et al.
Published: (2025)
How often are errors in natural language reasoning due to paraphrastic variability?
by: Srikanth, Neha, et al.
Published: (2024)
by: Srikanth, Neha, et al.
Published: (2024)
DiscoTrace: Representing and Comparing Answering Strategies of Humans and LLMs in Information-Seeking Question Answering
by: Srikanth, Neha, et al.
Published: (2026)
by: Srikanth, Neha, et al.
Published: (2026)
Natural Language Decompositions of Implicit Content Enable Better Text Representations
by: Hoyle, Alexander, et al.
Published: (2023)
by: Hoyle, Alexander, et al.
Published: (2023)
Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering
by: Srikanth, Neha, et al.
Published: (2023)
by: Srikanth, Neha, et al.
Published: (2023)
Conversational User-AI Intervention: A Study on Prompt Rewriting for Improved LLM Response Generation
by: Sarkar, Rupak, et al.
Published: (2025)
by: Sarkar, Rupak, et al.
Published: (2025)
Are Language Models Models?
by: Resnik, Philip
Published: (2026)
by: Resnik, Philip
Published: (2026)
Large Language Models are Biased Because They Are Large Language Models
by: Resnik, Philip
Published: (2024)
by: Resnik, Philip
Published: (2024)
Beyond Memorization: Assessing Semantic Generalization in Large Language Models Using Phrasal Constructions
by: Scivetti, Wesley, et al.
Published: (2025)
by: Scivetti, Wesley, et al.
Published: (2025)
Evaluating CxG Generalisation in LLMs via Construction-Based NLI Fine Tuning
by: Mackintosh, Tom, et al.
Published: (2025)
by: Mackintosh, Tom, et al.
Published: (2025)
Dancing with Deer: A Constructional Perspective on MWEs in the Era of LLMs
by: Bonial, Claire, et al.
Published: (2025)
by: Bonial, Claire, et al.
Published: (2025)
Neither Stochastic Parroting nor AGI: LLMs Solve Tasks through Context-Directed Extrapolation from Training Data Priors
by: Madabushi, Harish Tayyar, et al.
Published: (2025)
by: Madabushi, Harish Tayyar, et al.
Published: (2025)
ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering
by: Hoyle, Alexander, et al.
Published: (2025)
by: Hoyle, Alexander, et al.
Published: (2025)
Human-Robot Dialogue Annotation for Multi-Modal Common Ground
by: Bonial, Claire, et al.
Published: (2024)
by: Bonial, Claire, et al.
Published: (2024)
Is Your Large Language Model Knowledgeable or a Choices-Only Cheater?
by: Balepur, Nishant, et al.
Published: (2024)
by: Balepur, Nishant, et al.
Published: (2024)
Frame of Reference: Addressing the Challenges of Common Ground Representation in Situational Dialogs
by: Mohapatra, Biswesh, et al.
Published: (2026)
by: Mohapatra, Biswesh, et al.
Published: (2026)
WildChat: 1M ChatGPT Interaction Logs in the Wild
by: Zhao, Wenting, et al.
Published: (2024)
by: Zhao, Wenting, et al.
Published: (2024)
Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the U.S
by: Acquaye, Christabel, et al.
Published: (2024)
by: Acquaye, Christabel, et al.
Published: (2024)
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models
by: Sancheti, Abhilasha, et al.
Published: (2024)
by: Sancheti, Abhilasha, et al.
Published: (2024)
Flexible Agent Alignment with Goal Inference from Open-Ended Dialog
by: Ma, Rachel, et al.
Published: (2025)
by: Ma, Rachel, et al.
Published: (2025)
Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction
by: Burdisso, Sergio, et al.
Published: (2024)
by: Burdisso, Sergio, et al.
Published: (2024)
It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning
by: Balepur, Nishant, et al.
Published: (2023)
by: Balepur, Nishant, et al.
Published: (2023)
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?
by: Balepur, Nishant, et al.
Published: (2024)
by: Balepur, Nishant, et al.
Published: (2024)
Test-Time Reasoners Are Strategic Multiple-Choice Test-Takers
by: Balepur, Nishant, et al.
Published: (2025)
by: Balepur, Nishant, et al.
Published: (2025)
A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users
by: Balepur, Nishant, et al.
Published: (2025)
by: Balepur, Nishant, et al.
Published: (2025)
Chat-Ghosting: A Comparative Study of Methods for Auto-Completion in Dialog Systems
by: Mishra, Sandeep, et al.
Published: (2025)
by: Mishra, Sandeep, et al.
Published: (2025)
On the Mutual Influence of Gender and Occupation in LLM Representations
by: An, Haozhe, et al.
Published: (2025)
by: An, Haozhe, et al.
Published: (2025)
UbuntuGuard: A Culturally-Grounded Policy Benchmark for Equitable AI Safety in African Languages
by: Abdullahi, Tassallah, et al.
Published: (2026)
by: Abdullahi, Tassallah, et al.
Published: (2026)
Language Models Predict Empathy Gaps Between Social In-groups and Out-groups
by: Hou, Yu, et al.
Published: (2025)
by: Hou, Yu, et al.
Published: (2025)
Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above
by: Balepur, Nishant, et al.
Published: (2025)
by: Balepur, Nishant, et al.
Published: (2025)
TOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles
by: Liu, Yinhong, et al.
Published: (2024)
by: Liu, Yinhong, et al.
Published: (2024)
PersonalityChat: Conversation Distillation for Personalized Dialog Modeling with Facts and Traits
by: Lotfi, Ehsan, et al.
Published: (2024)
by: Lotfi, Ehsan, et al.
Published: (2024)
Training Zero-Shot Generalizable End-to-End Task-Oriented Dialog System Without Turn-level Dialog Annotations
by: Mosharrof, Adib, et al.
Published: (2024)
by: Mosharrof, Adib, et al.
Published: (2024)
Chatting with Logs: An exploratory study on Finetuning LLMs for LogQL
by: Seshagiri, Vishwanath, et al.
Published: (2024)
by: Seshagiri, Vishwanath, et al.
Published: (2024)
Multiple LLM Agents Debate for Equitable Cultural Alignment
by: Ki, Dayeon, et al.
Published: (2025)
by: Ki, Dayeon, et al.
Published: (2025)
Take Out Your Calculators: Estimating the Real Difficulty of Question Items with LLM Student Simulations
by: Acquaye, Christabel, et al.
Published: (2026)
by: Acquaye, Christabel, et al.
Published: (2026)
Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?
by: An, Haozhe, et al.
Published: (2024)
by: An, Haozhe, et al.
Published: (2024)
Evaluating and Enhancing Out-of-Domain Generalization of Task-Oriented Dialog Systems for Task Completion without Turn-level Dialog Annotations
by: Mosharrof, Adib, et al.
Published: (2025)
by: Mosharrof, Adib, et al.
Published: (2025)
Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems
by: Cai, Yucheng, et al.
Published: (2025)
by: Cai, Yucheng, et al.
Published: (2025)
Similar Items
-
FRIDA to the Rescue! Analyzing Synthetic Data Effectiveness in Object-Based Common Sense Reasoning for Disaster Response
by: Shichman, Mollie, et al.
Published: (2025) -
NLI under the Microscope: What Atomic Hypothesis Decomposition Reveals
by: Srikanth, Neha, et al.
Published: (2025) -
How often are errors in natural language reasoning due to paraphrastic variability?
by: Srikanth, Neha, et al.
Published: (2024) -
DiscoTrace: Representing and Comparing Answering Strategies of Humans and LLMs in Information-Seeking Question Answering
by: Srikanth, Neha, et al.
Published: (2026) -
Natural Language Decompositions of Implicit Content Enable Better Text Representations
by: Hoyle, Alexander, et al.
Published: (2023)