:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Rivera, Antonio Carlos, Moore, Anthony, Robinson, Steven
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	https://arxiv.org/abs/2410.02959
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Contextual Candor: Enhancing LLM Trustworthiness Through Hierarchical Unanswerability Detection
di: Robinson, Steven, et al.
Pubblicazione: (2025)

Question Answering with LLMs and Learning from Answer Sets
di: Borroto, Manuel, et al.
Pubblicazione: (2025)

Leveraging Retrieval-Augmented Tags for Large Vision-Language Understanding in Complex Scenes
di: Rivera, Antonio Carlos, et al.
Pubblicazione: (2024)

On the Calibration of Multilingual Question Answering LLMs
di: Yang, Yahan, et al.
Pubblicazione: (2023)

Accurate Table Question Answering with Accessible LLMs
di: Jiang, Yangfan, et al.
Pubblicazione: (2026)

Agentic LLMs for Question Answering over Tabular Data
di: Tyagi, Rishit, et al.
Pubblicazione: (2025)

UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs' Memorization
di: Uddin, Md Nayem, et al.
Pubblicazione: (2024)

Mined Prompting and Metadata-Guided Generation for Wound Care Visual Question Answering
di: Durgapraveen, Bavana, et al.
Pubblicazione: (2025)

QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs
di: Kim, Minsang, et al.
Pubblicazione: (2024)

Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities
di: Jarvis, Devon, et al.
Pubblicazione: (2026)

Combining LLMs and Knowledge Graphs to Reduce Hallucinations in Question Answering
di: Pusch, Larissa, et al.
Pubblicazione: (2024)

Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering
di: Srivastava, Pragya, et al.
Pubblicazione: (2024)

How Accurate Are LLMs at Multi-Question Answering on Conversational Transcripts?
di: Zhu, Xiliang, et al.
Pubblicazione: (2025)

What Factors Affect LLMs and RLLMs in Financial Question Answering?
di: Wang, Peng, et al.
Pubblicazione: (2025)

DiscoTrace: Representing and Comparing Answering Strategies of Humans and LLMs in Information-Seeking Question Answering
di: Srikanth, Neha, et al.
Pubblicazione: (2026)

ResearchQA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and Rubrics
di: Yifei, Li S., et al.
Pubblicazione: (2025)

Multi-Document Financial Question Answering using LLMs
di: Shah, Shalin, et al.
Pubblicazione: (2024)

Automatic Evaluation of Healthcare LLMs Beyond Question-Answering
di: Arias-Duart, Anna, et al.
Pubblicazione: (2025)

Asking and Answering Questions to Extract Event-Argument Structures
di: Uddin, Md Nayem, et al.
Pubblicazione: (2024)

IMB: An Italian Medical Benchmark for Question Answering
di: Romano, Antonio, et al.
Pubblicazione: (2025)

Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering
di: Yu, Zeping, et al.
Pubblicazione: (2024)

DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMs
di: Meng, Zijie, et al.
Pubblicazione: (2024)

Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey
di: Tanjim, Md Mehrab, et al.
Pubblicazione: (2025)

Evaluating Robustness of LLMs in Question Answering on Multilingual Noisy OCR Data
di: Piryani, Bhawna, et al.
Pubblicazione: (2025)

Fine-Tuning LLMs for Reliable Medical Question-Answering Services
di: Anaissi, Ali, et al.
Pubblicazione: (2024)

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
di: Zhang, Yichi, et al.
Pubblicazione: (2023)

Question Answering under Temporal Conflict: Evaluating and Organizing Evolving Knowledge with LLMs
di: Özer, Atahan, et al.
Pubblicazione: (2025)

60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering
di: Ye, Junjie, et al.
Pubblicazione: (2024)

Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
di: Wang, Yubo, et al.
Pubblicazione: (2023)

Question Answering on Patient Medical Records with Private Fine-Tuned LLMs
di: Kothari, Sara, et al.
Pubblicazione: (2025)

Hybrid Graphs for Table-and-Text based Question Answering using LLMs
di: Agarwal, Ankush, et al.
Pubblicazione: (2025)

Training LLMs with Reinforcement Learning for Intent-Aware Personalized Question Answering
di: Amirizaniani, Maryam, et al.
Pubblicazione: (2026)

BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering
di: Mavromatis, Costas, et al.
Pubblicazione: (2025)

Graph Neural Network Enhanced Retrieval for Question Answering of LLMs
di: Li, Zijian, et al.
Pubblicazione: (2024)

PRISM: Agentic Retrieval with LLMs for Multi-Hop Question Answering
di: Nahid, Md Mahadi Hasan, et al.
Pubblicazione: (2025)

HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs
di: Panda, Pranoy, et al.
Pubblicazione: (2024)

Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark
di: Xu, Zhikun, et al.
Pubblicazione: (2024)

Improving TCM Question Answering through Tree-Organized Self-Reflective Retrieval with LLMs
di: Liu, Chang, et al.
Pubblicazione: (2025)

Mind the Gap: A Closer Look at Tokenization for Multiple-Choice Question Answering with LLMs
di: Sanz-Guerrero, Mario, et al.
Pubblicazione: (2025)

Inferential Question Answering
di: Mozafari, Jamshid, et al.
Pubblicazione: (2026)