Image de couverture de livre

Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Keluskar, Aryan, Bhattacharjee, Amrita, Liu, Huan
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Mind the Ambiguity: Aleatoric Uncertainty Quantification in LLMs for Safe Medical Question Answering
par: Liu, Yaokun, et autres
Publié: (2026)

Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation
par: Bhattacharjee, Amrita, et autres
Publié: (2024)

EAGLE: A Domain Generalization Framework for AI-generated Text Detection
par: Bhattacharjee, Amrita, et autres
Publié: (2024)

Towards LLM-guided Causal Explainability for Black-box Text Classifiers
par: Bhattacharjee, Amrita, et autres
Publié: (2023)

Evaluating Adaptive Personalization of Educational Readings with Simulated Learners
par: Woo, Ryan T., et autres
Publié: (2026)

Adversarial Text Purification: A Large Language Model Approach for Defense
par: Moraffah, Raha, et autres
Publié: (2024)

QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs
par: Kim, Minsang, et autres
Publié: (2024)

A$^2$Search: Ambiguity-Aware Question Answering with Reinforcement Learning
par: Zhang, Fengji, et autres
Publié: (2025)

Denoising Table-Text Retrieval for Open-Domain Question Answering
par: Kang, Deokhyung, et autres
Publié: (2024)

Hybrid Graphs for Table-and-Text based Question Answering using LLMs
par: Agarwal, Ankush, et autres
Publié: (2025)

Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales
par: Nirmal, Ayushi, et autres
Publié: (2024)

Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs
par: Zhang, Zhuoxuan, et autres
Publié: (2025)

Open Domain Question Answering with Conflicting Contexts
par: Liu, Siyi, et autres
Publié: (2024)

HPE:Answering Complex Questions over Text by Hybrid Question Parsing and Execution
par: Liu, Ye, et autres
Publié: (2023)

The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters
par: Zhou, Chulun, et autres
Publié: (2025)

Understanding Network Behaviors through Natural Language Question-Answering
par: Xing, Mingzhe, et autres
Publié: (2025)

CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering
par: Wiratunga, Nirmalie, et autres
Publié: (2024)

Automatic Evaluation of Healthcare LLMs Beyond Question-Answering
par: Arias-Duart, Anna, et autres
Publié: (2025)

Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection
par: Kumarage, Tharindu, et autres
Publié: (2024)

A Dataset of Open-Domain Question Answering with Multiple-Span Answers
par: Luo, Zhiyi, et autres
Publié: (2024)

Fine-Tuning LLMs for Reliable Medical Question-Answering Services
par: Anaissi, Ali, et autres
Publié: (2024)

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
par: Zhang, Yichi, et autres
Publié: (2023)

Text to Query Plans for Question Answering on Large Tables
par: Zhang, Yipeng, et autres
Publié: (2025)

BanglaQuAD: A Bengali Open-domain Question Answering Dataset
par: Rony, Md Rashad Al Hasan, et autres
Publié: (2024)

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering
par: Mei, Jianbiao, et autres
Publié: (2025)

Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering
par: Liu, Jiaxiang, et autres
Publié: (2024)

FinTextQA: A Dataset for Long-form Financial Question Answering
par: Chen, Jian, et autres
Publié: (2024)

60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering
par: Ye, Junjie, et autres
Publié: (2024)

Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
par: Wang, Yubo, et autres
Publié: (2023)

Question Answering on Patient Medical Records with Private Fine-Tuned LLMs
par: Kothari, Sara, et autres
Publié: (2025)

Training LLMs with Reinforcement Learning for Intent-Aware Personalized Question Answering
par: Amirizaniani, Maryam, et autres
Publié: (2026)

MedEthicsQA: A Comprehensive Question Answering Benchmark for Medical Ethics Evaluation of LLMs
par: Wei, Jianhui, et autres
Publié: (2025)

To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering
par: Frisoni, Giacomo, et autres
Publié: (2024)

Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization
par: Zhang, Zixuan, et autres
Publié: (2024)

Question Answering with LLMs and Learning from Answer Sets
par: Borroto, Manuel, et autres
Publié: (2025)

I've got the "Answer"! Interpretation of LLMs Hidden States in Question Answering
par: Goloviznina, Valeriya, et autres
Publié: (2024)

Towards Inference-time Category-wise Safety Steering for Large Language Models
par: Bhattacharjee, Amrita, et autres
Publié: (2024)

Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering
par: Chowdhury, Arijit Ghosh, et autres
Publié: (2023)

Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action
par: Pan, Zhenyu, et autres
Publié: (2024)

RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
par: Monteiro, Joao, et autres
Publié: (2024)