Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness
Fuente:
arXiv
Saved in:
| Main Authors: | Rahmani, Hossein A., Wang, Xi, Aliannejadi, Mohammad, Naghiaei, Mohammadmehdi, Yilmaz, Emine |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems
by: Rahmani, Hossein A., et al.
Published: (2024)
by: Rahmani, Hossein A., et al.
Published: (2024)
JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment
by: Rahmani, Hossein A., et al.
Published: (2024)
by: Rahmani, Hossein A., et al.
Published: (2024)
Analyzing Coherency in Facet-based Clarification Prompt Generation for Search
by: Litvinov, Oleg, et al.
Published: (2024)
by: Litvinov, Oleg, et al.
Published: (2024)
SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval
by: Rahmani, Hossein A., et al.
Published: (2024)
by: Rahmani, Hossein A., et al.
Published: (2024)
LLMJudge: LLMs for Relevance Judgments
by: Rahmani, Hossein A., et al.
Published: (2024)
by: Rahmani, Hossein A., et al.
Published: (2024)
Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024
by: Rahmani, Hossein A., et al.
Published: (2024)
by: Rahmani, Hossein A., et al.
Published: (2024)
Judging the Judges: A Collection of LLM-Generated Relevance Judgements
by: Rahmani, Hossein A., et al.
Published: (2025)
by: Rahmani, Hossein A., et al.
Published: (2025)
Understanding the Role of User Profile in the Personalization of Large Language Models
by: Wu, Bin, et al.
Published: (2024)
by: Wu, Bin, et al.
Published: (2024)
Self-Correcting Large Language Models: Generation vs. Multiple Choice
by: Rahmani, Hossein A., et al.
Published: (2025)
by: Rahmani, Hossein A., et al.
Published: (2025)
Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation
by: Tang, Anfu, et al.
Published: (2025)
by: Tang, Anfu, et al.
Published: (2025)
Synthetic Test Collections for Retrieval Evaluation
by: Rahmani, Hossein A., et al.
Published: (2024)
by: Rahmani, Hossein A., et al.
Published: (2024)
Towards Understanding Bias in Synthetic Data for Evaluation
by: Rahmani, Hossein A., et al.
Published: (2025)
by: Rahmani, Hossein A., et al.
Published: (2025)
Do Images Clarify? A Study on the Effect of Images on Clarifying Questions in Conversational Search
by: Siro, Clemencia, et al.
Published: (2026)
by: Siro, Clemencia, et al.
Published: (2026)
AGENT-CQ: Automatic Generation and Evaluation of Clarifying Questions for Conversational Search with LLMs
by: Siro, Clemencia, et al.
Published: (2024)
by: Siro, Clemencia, et al.
Published: (2024)
Estimating the Usefulness of Clarifying Questions and Answers for Conversational Search
by: Sekulić, Ivan, et al.
Published: (2024)
by: Sekulić, Ivan, et al.
Published: (2024)
Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs
by: Siro, Clemencia, et al.
Published: (2024)
by: Siro, Clemencia, et al.
Published: (2024)
Multi-Turn Multi-Modal Question Clarification for Enhanced Conversational Understanding
by: Ramezan, Kimia, et al.
Published: (2025)
by: Ramezan, Kimia, et al.
Published: (2025)
ClarifyMT-Bench: Benchmarking and Improving Multi-Turn Clarification for Conversational Large Language Models
by: Luo, Sichun, et al.
Published: (2025)
by: Luo, Sichun, et al.
Published: (2025)
Adaptive Retrieval-Augmented Generation for Conversational Systems
by: Wang, Xi, et al.
Published: (2024)
by: Wang, Xi, et al.
Published: (2024)
Zero-Shot and Efficient Clarification Need Prediction in Conversational Search
by: Lu, Lili, et al.
Published: (2025)
by: Lu, Lili, et al.
Published: (2025)
Transparent and Scrutable Recommendations Using Natural Language User Profiles
by: Ramos, Jerome, et al.
Published: (2024)
by: Ramos, Jerome, et al.
Published: (2024)
Interactions with Generative Information Retrieval Systems
by: Aliannejadi, Mohammad, et al.
Published: (2024)
by: Aliannejadi, Mohammad, et al.
Published: (2024)
Generating Multi-Aspect Queries for Conversational Search
by: Abbasiantaeb, Zahra, et al.
Published: (2024)
by: Abbasiantaeb, Zahra, et al.
Published: (2024)
Improving the Reusability of Conversational Search Test Collections
by: Abbasiantaeb, Zahra, et al.
Published: (2025)
by: Abbasiantaeb, Zahra, et al.
Published: (2025)
Investigating LLM Variability in Personalized Conversational Information Retrieval
by: Lupart, Simon, et al.
Published: (2025)
by: Lupart, Simon, et al.
Published: (2025)
IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search
by: Lupart, Simon, et al.
Published: (2024)
by: Lupart, Simon, et al.
Published: (2024)
DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational Search
by: Lupart, Simon, et al.
Published: (2024)
by: Lupart, Simon, et al.
Published: (2024)
ChatR1: Reinforcement Learning for Conversational Reasoning and Retrieval Augmented Question Answering
by: Lupart, Simon, et al.
Published: (2025)
by: Lupart, Simon, et al.
Published: (2025)
Understanding Visual Saliency of Outlier Items in Product Search
by: Sarvi, Fatemeh, et al.
Published: (2025)
by: Sarvi, Fatemeh, et al.
Published: (2025)
Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation
by: Liu, Yuanna, et al.
Published: (2025)
by: Liu, Yuanna, et al.
Published: (2025)
Overview of the TREC 2023 deep learning track
by: Craswell, Nick, et al.
Published: (2025)
by: Craswell, Nick, et al.
Published: (2025)
Conversational Gold: Evaluating Personalized Conversational Search System using Gold Nuggets
by: Abbasiantaeb, Zahra, et al.
Published: (2025)
by: Abbasiantaeb, Zahra, et al.
Published: (2025)
Online and Offline Evaluation in Search Clarification
by: Tavakoli, Leila, et al.
Published: (2024)
by: Tavakoli, Leila, et al.
Published: (2024)
Towards Better Understanding of User Satisfaction in Open-Domain Conversational Search
by: Chu, Zhumin, et al.
Published: (2022)
by: Chu, Zhumin, et al.
Published: (2022)
Can We Use Large Language Models to Fill Relevance Judgment Holes?
by: Abbasiantaeb, Zahra, et al.
Published: (2024)
by: Abbasiantaeb, Zahra, et al.
Published: (2024)
Controlling Gender Bias in Retrieval via a Backpack Architecture
by: Afzali, Amirabbas, et al.
Published: (2025)
by: Afzali, Amirabbas, et al.
Published: (2025)
Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement
by: Mousavian, Maryam, et al.
Published: (2025)
by: Mousavian, Maryam, et al.
Published: (2025)
Reproducing NevIR: Negation in Neural Information Retrieval
by: Elsen, Coen van den, et al.
Published: (2025)
by: Elsen, Coen van den, et al.
Published: (2025)
Total Recall QA: A Verifiable Evaluation Suite for Deep Research Agents
by: Rafiee, Mahta, et al.
Published: (2026)
by: Rafiee, Mahta, et al.
Published: (2026)
Using LLMs to Investigate Correlations of Conversational Follow-up Queries with User Satisfaction
by: Kim, Hyunwoo, et al.
Published: (2024)
by: Kim, Hyunwoo, et al.
Published: (2024)
Similar Items
-
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems
by: Rahmani, Hossein A., et al.
Published: (2024) -
JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment
by: Rahmani, Hossein A., et al.
Published: (2024) -
Analyzing Coherency in Facet-based Clarification Prompt Generation for Search
by: Litvinov, Oleg, et al.
Published: (2024) -
SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval
by: Rahmani, Hossein A., et al.
Published: (2024) -
LLMJudge: LLMs for Relevance Judgments
by: Rahmani, Hossein A., et al.
Published: (2024)