Cover Image

Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Wanqi, Li, Yanda, Fang, Meng, Chen, Ling
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

Continual Learning for Temporal-Sensitive Question Answering
by: Yang, Wanqi, et al.
Published: (2024)

MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents
by: Yang, Wanqi, et al.
Published: (2025)

SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models
by: Yang, Wanqi, et al.
Published: (2025)

MTBench: A Multimodal Time Series Benchmark for Temporal Reasoning and Question Answering
by: Chen, Jialin, et al.
Published: (2025)

Temporal-Aware Heterogeneous Graph Reasoning with Multi-View Fusion for Temporal Question Answering
by: Wen, Wuzhenghong, et al.
Published: (2026)

On the Relation between Sensitivity and Accuracy in In-context Learning
by: Chen, Yanda, et al.
Published: (2022)

Temporal Knowledge Question Answering via Abstract Reasoning Induction
by: Chen, Ziyang, et al.
Published: (2023)

Joint Multi-Facts Reasoning Network For Complex Temporal Question Answering Over Knowledge Graph
by: Huang, Rikui, et al.
Published: (2024)

EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering
by: Long, Xiao, et al.
Published: (2025)

To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering
by: Zhan, Zaifu, et al.
Published: (2026)

Prompt Sensitivity and Answer Consistency of Small Open-Source Language Models for Clinical Question Answering in Low-Resource Healthcare
by: Hariprasad, Shravani
Published: (2026)

Seek and Solve Reasoning for Table Question Answering
by: Jiang, Ruya, et al.
Published: (2024)

Temporal Knowledge Graph Question Answering: A Survey
by: Su, Miao, et al.
Published: (2024)

Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding
by: Li, Yanda, et al.
Published: (2024)

A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question Answering
by: Zhang, Lingxi, et al.
Published: (2024)

Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts
by: Chen, Xiangnan, et al.
Published: (2025)

GlobalRAG: Enhancing Global Reasoning in Multi-hop Question Answering via Reinforcement Learning
by: Luo, Jinchang, et al.
Published: (2025)

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

Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning
by: Liu, Yutian, et al.
Published: (2025)

Multi-Hop Reasoning for Question Answering with Hyperbolic Representations
by: Welz, Simon, et al.
Published: (2025)

RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models
by: Gong, Zhaoyan, et al.
Published: (2025)

A Brain-inspired Memory Transformation based Differentiable Neural Computer for Reasoning-based Question Answering
by: Liang, Yao, et al.
Published: (2023)

Condition-Gated Reasoning for Context-Dependent Biomedical Question Answering
by: Parekh, Jash Rajesh, et al.
Published: (2026)

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

Answering Questions by Meta-Reasoning over Multiple Chains of Thought
by: Yoran, Ori, et al.
Published: (2023)

Confidence-guided Refinement Reasoning for Zero-shot Question Answering
by: Jang, Youwon, et al.
Published: (2025)

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

Omne-R1: Learning to Reason with Memory for Multi-hop Question Answering
by: Liu, Boyuan, et al.
Published: (2025)

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

HPE:Answering Complex Questions over Text by Hybrid Question Parsing and Execution
by: Liu, Ye, et al.
Published: (2023)

Self-Correction Distillation for Structured Data Question Answering
by: Zhu, Yushan, et al.
Published: (2025)

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

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering
by: Long, Xiao, et al.
Published: (2025)

This Treatment Works, Right? Evaluating LLM Sensitivity to Patient Question Framing in Medical QA
by: Yun, Hye Sun, et al.
Published: (2026)

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models
by: Yang, Wanqi, et al.
Published: (2024)

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering
by: Fu, Rong, et al.
Published: (2026)

Rationale-guided Prompting for Knowledge-based Visual Question Answering
by: Hu, Zhongjian, et al.
Published: (2024)

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

ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph
by: Jiang, Jinhao, et al.
Published: (2023)

ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering
by: Guo, Xiaoke, et al.
Published: (2026)