Ask Good Questions for Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Qi, Lu, Zhongqi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Can LLMs Ask Good Questions?
by: Zhang, Yueheng, et al.
Published: (2025)
by: Zhang, Yueheng, et al.
Published: (2025)
Knowledge Boundary Discovery for Large Language Models
by: Wang, Ziquan, et al.
Published: (2026)
by: Wang, Ziquan, et al.
Published: (2026)
STaR-GATE: Teaching Language Models to Ask Clarifying Questions
by: Andukuri, Chinmaya, et al.
Published: (2024)
by: Andukuri, Chinmaya, et al.
Published: (2024)
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
by: Deng, Yihe, et al.
Published: (2023)
by: Deng, Yihe, et al.
Published: (2023)
CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval
by: Chi, Yizhou, et al.
Published: (2024)
by: Chi, Yizhou, et al.
Published: (2024)
IntelliAsk: Learning to Ask High-Quality Research Questions via RLVR
by: Sharma, Karun, et al.
Published: (2026)
by: Sharma, Karun, et al.
Published: (2026)
Are Large Language Models Good Prompt Optimizers?
by: Ma, Ruotian, et al.
Published: (2024)
by: Ma, Ruotian, et al.
Published: (2024)
Are Large Vision Language Models Good Game Players?
by: Wang, Xinyu, et al.
Published: (2025)
by: Wang, Xinyu, et al.
Published: (2025)
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models
by: Yan, Xue, et al.
Published: (2023)
by: Yan, Xue, et al.
Published: (2023)
Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions
by: Testoni, Alberto, et al.
Published: (2024)
by: Testoni, Alberto, et al.
Published: (2024)
From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
by: Zhou, Zhanke, et al.
Published: (2025)
by: Zhou, Zhanke, et al.
Published: (2025)
Are Large Language Models Good Statisticians?
by: Zhu, Yizhang, et al.
Published: (2024)
by: Zhu, Yizhang, et al.
Published: (2024)
EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering and Reasoning
by: Wei, Mingyang, et al.
Published: (2026)
by: Wei, Mingyang, et al.
Published: (2026)
Ask Again, Then Fail: Large Language Models' Vacillations in Judgment
by: Xie, Qiming, et al.
Published: (2023)
by: Xie, Qiming, et al.
Published: (2023)
Are Large Language Models Good at Detecting Propaganda?
by: Jose, Julia, et al.
Published: (2025)
by: Jose, Julia, et al.
Published: (2025)
Large Language Models are Good Relational Learners
by: Wu, Fang, et al.
Published: (2025)
by: Wu, Fang, et al.
Published: (2025)
Uncertainty Estimation of Large Language Models in Medical Question Answering
by: Wu, Jiaxin, et al.
Published: (2024)
by: Wu, Jiaxin, et al.
Published: (2024)
Are Large Language Models Good Essay Graders?
by: Kundu, Anindita, et al.
Published: (2024)
by: Kundu, Anindita, et al.
Published: (2024)
Is Large Language Model Performance on Reasoning Tasks Impacted by Different Ways Questions Are Asked?
by: Song, Seok Hwan, et al.
Published: (2025)
by: Song, Seok Hwan, et al.
Published: (2025)
Mind What You Ask For: Emotional and Rational Faces of Persuasion by Large Language Models
by: Mieleszczenko-Kowszewicz, Wiktoria, et al.
Published: (2025)
by: Mieleszczenko-Kowszewicz, Wiktoria, et al.
Published: (2025)
Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models
by: Shin, Jisu, et al.
Published: (2024)
by: Shin, Jisu, et al.
Published: (2024)
Shoot First, Ask Questions Later? Building Rational Agents that Explore and Act Like People
by: Grand, Gabriel, et al.
Published: (2025)
by: Grand, Gabriel, et al.
Published: (2025)
Are Large Language Models a Good Replacement of Taxonomies?
by: Sun, Yushi, et al.
Published: (2024)
by: Sun, Yushi, et al.
Published: (2024)
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
by: Ma, Yubo, et al.
Published: (2023)
by: Ma, Yubo, et al.
Published: (2023)
On Wednesdays, We Ask Questions: Optimizing "Active Listening" in Automated Legal Triage and Referral
by: Steenhuis, Quinten, et al.
Published: (2026)
by: Steenhuis, Quinten, et al.
Published: (2026)
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
by: Hu, Beizhe, et al.
Published: (2023)
by: Hu, Beizhe, et al.
Published: (2023)
Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators
by: Gu, Feng, et al.
Published: (2025)
by: Gu, Feng, et al.
Published: (2025)
Multilingual Medical Reasoning for Question Answering with Large Language Models
by: Ferrazzi, Pietro, et al.
Published: (2025)
by: Ferrazzi, Pietro, et al.
Published: (2025)
An Empirical Evaluation of Large Language Models on Consumer Health Questions
by: Abrar, Moaiz, et al.
Published: (2024)
by: Abrar, Moaiz, et al.
Published: (2024)
Are Large Language Models Consistent over Value-laden Questions?
by: Moore, Jared, et al.
Published: (2024)
by: Moore, Jared, et al.
Published: (2024)
Asking the Right Questions: Benchmarking Large Language Models in the Development of Clinical Consultation Templates
by: McCoy, Liam G., et al.
Published: (2025)
by: McCoy, Liam G., et al.
Published: (2025)
Are Large Language Models Good In-context Learners for Financial Sentiment Analysis?
by: Wei, Xinyu, et al.
Published: (2025)
by: Wei, Xinyu, et al.
Published: (2025)
Ask-before-Plan: Proactive Language Agents for Real-World Planning
by: Zhang, Xuan, et al.
Published: (2024)
by: Zhang, Xuan, et al.
Published: (2024)
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond
by: Xu, Fangzhi, et al.
Published: (2023)
by: Xu, Fangzhi, et al.
Published: (2023)
Large Language Models "Ad Referendum": How Good Are They at Machine Translation in the Legal Domain?
by: Briva-Iglesias, Vicent, et al.
Published: (2024)
by: Briva-Iglesias, Vicent, et al.
Published: (2024)
Value Entanglement: Conflation Between Different Kinds of Good In (Some) Large Language Models
by: Cho, Seong Hah, et al.
Published: (2026)
by: Cho, Seong Hah, et al.
Published: (2026)
Collaboration among Multiple Large Language Models for Medical Question Answering
by: Shang, Kexin, et al.
Published: (2025)
by: Shang, Kexin, et al.
Published: (2025)
Evaluation Methodology for Large Language Models for Multilingual Document Question and Answer
by: Kahana, Adar, et al.
Published: (2024)
by: Kahana, Adar, et al.
Published: (2024)
Follow-Up Questions Improve Documents Generated by Large Language Models
by: Tix, Bernadette J
Published: (2024)
by: Tix, Bernadette J
Published: (2024)
Cost-efficient Knowledge-based Question Answering with Large Language Models
by: Dong, Junnan, et al.
Published: (2024)
by: Dong, Junnan, et al.
Published: (2024)
Similar Items
-
Can LLMs Ask Good Questions?
by: Zhang, Yueheng, et al.
Published: (2025) -
Knowledge Boundary Discovery for Large Language Models
by: Wang, Ziquan, et al.
Published: (2026) -
STaR-GATE: Teaching Language Models to Ask Clarifying Questions
by: Andukuri, Chinmaya, et al.
Published: (2024) -
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
by: Deng, Yihe, et al.
Published: (2023) -
CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval
by: Chi, Yizhou, et al.
Published: (2024)