I Could've Asked That: Reformulating Unanswerable Questions
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Wenting, Gao, Ge, Cardie, Claire, Rush, Alexander M. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Great Memory, Shallow Reasoning: Limits of $k$NN-LMs
by: Geng, Shangyi, et al.
Published: (2024)
by: Geng, Shangyi, et al.
Published: (2024)
Reasoning Court: Combining Reasoning, Action, and Judgment for Multi-Hop Reasoning
by: Wu, Jingtian, et al.
Published: (2025)
by: Wu, Jingtian, et al.
Published: (2025)
Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL
by: Yang, Yongjin, et al.
Published: (2024)
by: Yang, Yongjin, et al.
Published: (2024)
Adapting Fake News Detection to the Era of Large Language Models
by: Su, Jinyan, et al.
Published: (2023)
by: Su, Jinyan, et al.
Published: (2023)
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)
HAPO: Training Language Models to Reason Concisely via History-Aware Policy Optimization
by: Huang, Chengyu, et al.
Published: (2025)
by: Huang, Chengyu, et al.
Published: (2025)
Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs
by: Su, Jinyan, et al.
Published: (2025)
by: Su, Jinyan, et al.
Published: (2025)
WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild
by: Deng, Yuntian, et al.
Published: (2024)
by: Deng, Yuntian, et al.
Published: (2024)
Conversational Question Answering with Reformulations over Knowledge Graph
by: Liu, Lihui, et al.
Published: (2023)
by: Liu, Lihui, et al.
Published: (2023)
I've got the "Answer"! Interpretation of LLMs Hidden States in Question Answering
by: Goloviznina, Valeriya, et al.
Published: (2024)
by: Goloviznina, Valeriya, et al.
Published: (2024)
Policy-Gradient Training of Language Models for Ranking
by: Gao, Ge, et al.
Published: (2023)
by: Gao, Ge, et al.
Published: (2023)
FactGuard: Leveraging Multi-Agent Systems to Generate Answerable and Unanswerable Questions for Enhanced Long-Context LLM Extraction
by: Zhang, Qian-Wen, et al.
Published: (2025)
by: Zhang, Qian-Wen, et al.
Published: (2025)
Better LLM Reasoning via Dual-Play
by: Zhang, Zhengxin, et al.
Published: (2025)
by: Zhang, Zhengxin, et al.
Published: (2025)
WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries
by: Zhao, Wenting, et al.
Published: (2024)
by: Zhao, Wenting, et al.
Published: (2024)
Contextual Document Embeddings
by: Morris, John X., et al.
Published: (2024)
by: Morris, John X., et al.
Published: (2024)
Multi-Turn Code Generation Through Single-Step Rewards
by: Jain, Arnav Kumar, et al.
Published: (2025)
by: Jain, Arnav Kumar, et al.
Published: (2025)
Query Carefully: Detecting the Unanswerables in Text-to-SQL Tasks
by: Saxer, Jasmin, et al.
Published: (2025)
by: Saxer, Jasmin, et al.
Published: (2025)
Iterative Repair with Weak Verifiers for Few-shot Transfer in KBQA with Unanswerability
by: Sawhney, Riya, et al.
Published: (2024)
by: Sawhney, Riya, et al.
Published: (2024)
Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation
by: Kaiser, Magdalena, et al.
Published: (2023)
by: Kaiser, Magdalena, et al.
Published: (2023)
Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation
by: Dai, Yanqi, et al.
Published: (2026)
by: Dai, Yanqi, et al.
Published: (2026)
Commit0: Library Generation from Scratch
by: Zhao, Wenting, et al.
Published: (2024)
by: Zhao, Wenting, et al.
Published: (2024)
Did You Forget What I Asked? Prospective Memory Failures in Large Language Models
by: Mittal, Avni
Published: (2026)
by: Mittal, Avni
Published: (2026)
PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queries
by: Dong, Mingwen, et al.
Published: (2024)
by: Dong, Mingwen, et al.
Published: (2024)
Knowing but Not Showing: LLMs Recognize Ambiguity but Rarely Ask Clarifying Questions
by: Su, Jinyan, et al.
Published: (2026)
by: Su, Jinyan, et al.
Published: (2026)
Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models
by: Liu, Yi, et al.
Published: (2025)
by: Liu, Yi, et al.
Published: (2025)
Balancing Rigor and Utility: Mitigating Cognitive Biases in Large Language Models for Multiple-Choice Questions
by: Zhong, Hanyang, et al.
Published: (2024)
by: Zhong, Hanyang, et al.
Published: (2024)
Compute-Constrained Data Selection
by: Yin, Junjie Oscar, et al.
Published: (2024)
by: Yin, Junjie Oscar, et al.
Published: (2024)
Good Idea or Not, Representation of LLM Could Tell
by: Xu, Yi, et al.
Published: (2024)
by: Xu, Yi, et al.
Published: (2024)
Large Language Models Could Be Rote Learners
by: Xu, Yuyang, et al.
Published: (2025)
by: Xu, Yuyang, et al.
Published: (2025)
Reformulating KV Cache Eviction Problem for Long-Context LLM Inference
by: Mai, Tho, et al.
Published: (2026)
by: Mai, Tho, et al.
Published: (2026)
StoryCoder: Narrative Reformulation for Structured Reasoning in LLM Code Generation
by: Jang, Geonhui, et al.
Published: (2026)
by: Jang, Geonhui, et al.
Published: (2026)
VISREAS: Complex Visual Reasoning with Unanswerable Questions
by: Akter, Syeda Nahida, et al.
Published: (2024)
by: Akter, Syeda Nahida, et al.
Published: (2024)
TreeCut: A Synthetic Unanswerable Math Word Problem Dataset for LLM Hallucination Evaluation
by: Ouyang, Jialin
Published: (2025)
by: Ouyang, Jialin
Published: (2025)
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models
by: Huo, Jiahao, et al.
Published: (2025)
by: Huo, Jiahao, et al.
Published: (2025)
"I've Seen How This Goes": Characterizing Diversity via Progressive Conditional Surprise
by: Khoriaty, Matthew, et al.
Published: (2026)
by: Khoriaty, Matthew, et al.
Published: (2026)
Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
by: Han, Chen, et al.
Published: (2025)
by: Han, Chen, et al.
Published: (2025)
LLM Robustness Against Misinformation in Biomedical Question Answering
by: Bondarenko, Alexander, et al.
Published: (2024)
by: Bondarenko, Alexander, et al.
Published: (2024)
Expert-Guided Prompting and Retrieval-Augmented Generation for Emergency Medical Service Question Answering
by: Ge, Xueren, et al.
Published: (2025)
by: Ge, Xueren, et al.
Published: (2025)
Could We Have Had Better Multilingual LLMs If English Was Not the Central Language?
by: Diandaru, Ryandito, et al.
Published: (2024)
by: Diandaru, Ryandito, et al.
Published: (2024)
MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education
by: Hicke, Yann, et al.
Published: (2025)
by: Hicke, Yann, et al.
Published: (2025)
Similar Items
-
Great Memory, Shallow Reasoning: Limits of $k$NN-LMs
by: Geng, Shangyi, et al.
Published: (2024) -
Reasoning Court: Combining Reasoning, Action, and Judgment for Multi-Hop Reasoning
by: Wu, Jingtian, et al.
Published: (2025) -
Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL
by: Yang, Yongjin, et al.
Published: (2024) -
Adapting Fake News Detection to the Era of Large Language Models
by: Su, Jinyan, et al.
Published: (2023) -
Is Large Language Model Performance on Reasoning Tasks Impacted by Different Ways Questions Are Asked?
by: Song, Seok Hwan, et al.
Published: (2025)