Cover Image

Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bhandari, Kushal Raj, Xing, Sixue, Dan, Soham, Gao, Jianxi
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Robustness of Tabular Retrieval via Representational Stability
by: Bhandari, Kushal Raj, et al.
Published: (2026)

Unraveling the cognitive patterns of Large Language Models through module communities
by: Bhandari, Kushal Raj, et al.
Published: (2025)

CRAFT: Training-Free Cascaded Retrieval for Tabular QA
by: Singh, Adarsh, et al.
Published: (2025)

Forecasting Open-Weight AI Model Growth on HuggingFace
by: Bhandari, Kushal Raj, et al.
Published: (2025)

From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents
by: Yue, Ling, et al.
Published: (2026)

Few-shot Policy (de)composition in Conversational Question Answering
by: Erwin, Kyle, et al.
Published: (2025)

Accurate and Regret-aware Numerical Problem Solver for Tabular Question Answering
by: Wang, Yuxiang, et al.
Published: (2024)

Token Constraint Decoding Improves Robustness on Question Answering for Large Language Models
by: Yao, Jui-Ming, et al.
Published: (2025)

Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models
by: Hong, Xingyun, et al.
Published: (2024)

MedLM: Exploring Language Models for Medical Question Answering Systems
by: Yagnik, Niraj, et al.
Published: (2024)

Attention-guided Evidence Grounding for Spoken Question Answering
by: Yang, Ke, et al.
Published: (2026)

Understanding Network Behaviors through Natural Language Question-Answering
by: Xing, Mingzhe, et al.
Published: (2025)

Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology
by: Tran, Son Quoc, et al.
Published: (2024)

Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
by: Adlakha, Vaibhav, et al.
Published: (2023)

RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector
by: Wang, Zhensheng, et al.
Published: (2024)

LLM Robustness Against Misinformation in Biomedical Question Answering
by: Bondarenko, Alexander, et al.
Published: (2024)

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering
by: Cao, Han, et al.
Published: (2024)

Uncertainty Estimation of Large Language Models in Medical Question Answering
by: Wu, Jiaxin, et al.
Published: (2024)

Multilingual Medical Reasoning for Question Answering with Large Language Models
by: Ferrazzi, Pietro, et al.
Published: (2025)

Adversarial Question Answering Robustness: A Multi-Level Error Analysis and Mitigation Study
by: Choudhury, Agniv Roy, et al.
Published: (2026)

Large Language Model for Patent Concept Generation
by: Ren, Runtao, et al.
Published: (2024)

Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
by: Wen, Zhihua, et al.
Published: (2024)

Cost-efficient Knowledge-based Question Answering with Large Language Models
by: Dong, Junnan, et al.
Published: (2024)

Leveraging Large Language Models in Code Question Answering: Baselines and Issues
by: Andryushchenko, Georgy, et al.
Published: (2024)

Collaboration among Multiple Large Language Models for Medical Question Answering
by: Shang, Kexin, et al.
Published: (2025)

Multilingual State Space Models for Structured Question Answering in Indic Languages
by: Vats, Arpita, et al.
Published: (2025)

TopBench: A Benchmark for Implicit Prediction and Reasoning over Tabular Question Answering
by: Ji, An-Yang, et al.
Published: (2026)

Memory-Centric Embodied Question Answering
by: Zhai, Mingliang, et al.
Published: (2025)

YESciEval: Robust LLM-as-a-Judge for Scientific Question Answering
by: D'Souza, Jennifer, et al.
Published: (2025)

Open Domain Question Answering with Conflicting Contexts
by: Liu, Siyi, et al.
Published: (2024)

On the Temporal Question-Answering Capabilities of Large Language Models Over Anonymized Data
by: Ruiz, Alfredo Garrachón, et al.
Published: (2025)

EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering and Reasoning
by: Wei, Mingyang, et al.
Published: (2026)

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering
by: Ferguson, Nick, et al.
Published: (2025)

Can Language Models Analyze Data? Evaluating Large Language Models for Question Answering over Datasets
by: Xenofontos, Andreas, et al.
Published: (2026)

Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation
by: Kaiser, Magdalena, et al.
Published: (2023)

Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering
by: Chowdhury, Arijit Ghosh, et al.
Published: (2023)

RealitySummary: Exploring On-Demand Mixed Reality Text Summarization and Question Answering using Large Language Models
by: Gunturu, Aditya, et al.
Published: (2024)

Declarative Knowledge Distillation from Large Language Models for Visual Question Answering Datasets
by: Eiter, Thomas, et al.
Published: (2024)

Multi-Agents Based on Large Language Models for Knowledge-based Visual Question Answering
by: Hu, Zhongjian, et al.
Published: (2024)

Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering
by: Yu, Haoran, et al.
Published: (2024)