Copertina

Temporal Knowledge Question Answering via Abstract Reasoning Induction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Ziyang, Li, Dongfang, Zhao, Xiang, Hu, Baotian, Zhang, Min
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language Artificial Intelligence I.2.7
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Question Answering Over Spatio-Temporal Knowledge Graph
di: Dai, Xinbang, et al.
Pubblicazione: (2024)

Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models
di: Xiong, Guanming, et al.
Pubblicazione: (2024)

Graph Guided Question Answer Generation for Procedural Question-Answering
di: Pham, Hai X., et al.
Pubblicazione: (2024)

DQA: Diagnostic Question Answering for IT Support
di: Kapoor, Vishaal, et al.
Pubblicazione: (2026)

AskSport: Web Application for Sports Question-Answering
di: Onofre, Enzo B, et al.
Pubblicazione: (2025)

Combining Data Generation and Active Learning for Low-Resource Question Answering
di: Kimmich, Maximilian, et al.
Pubblicazione: (2022)

BERTologyNavigator: Advanced Question Answering with BERT-based Semantics
di: Rajpal, Shreya, et al.
Pubblicazione: (2024)

PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition
di: Zhang, Ziyang, et al.
Pubblicazione: (2024)

Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
di: Xu, Wenjie, et al.
Pubblicazione: (2023)

The Dual-Route Model of Induction
di: Feucht, Sheridan, et al.
Pubblicazione: (2025)

An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms
di: Chen, Ziyang, et al.
Pubblicazione: (2024)

Learning Temporal Abstractions via Variational Homomorphisms in Option-Induced Abstract MDPs
di: Li, Chang, et al.
Pubblicazione: (2025)

Comparing the Performance of LLMs in RAG-based Question-Answering: A Case Study in Computer Science Literature
di: Dayarathne, Ranul, et al.
Pubblicazione: (2025)

$\rm SP^3$: Enhancing Structured Pruning via PCA Projection
di: Hu, Yuxuan, et al.
Pubblicazione: (2023)

Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
di: Peters, Sydney, et al.
Pubblicazione: (2025)

Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering
di: Zong, Chang, et al.
Pubblicazione: (2024)

ObfusQAte: A Proposed Framework to Evaluate LLM Robustness on Obfuscated Factual Question Answering
di: Ghosh, Shubhra, et al.
Pubblicazione: (2025)

KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?
di: Saha, Soumadeep, et al.
Pubblicazione: (2025)

A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects
di: Niu, Guanglin, et al.
Pubblicazione: (2025)

APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification
di: Chernodub, Artem, et al.
Pubblicazione: (2025)

RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
di: Saji, Alan, et al.
Pubblicazione: (2025)

Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering
di: Toroghi, Armin, et al.
Pubblicazione: (2024)

Overview of the ClinIQLink 2025 Shared Task on Medical Question-Answering
di: Colelough, Brandon, et al.
Pubblicazione: (2025)

Leveraging Synthetic Data for Question Answering with Multilingual LLMs in the Agricultural Domain
di: Kaur, Rishemjit, et al.
Pubblicazione: (2025)

A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation
di: Chen, Ziyang, et al.
Pubblicazione: (2025)

SAM Decoding: Speculative Decoding via Suffix Automaton
di: Hu, Yuxuan, et al.
Pubblicazione: (2024)

Constructing Cloze Questions Generatively
di: Sun, Yicheng, et al.
Pubblicazione: (2024)

CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge
di: Guo, Willis, et al.
Pubblicazione: (2024)

Measuring Reasoning Utility in LLMs via Conditional Entropy Reduction
di: Guo, Xu
Pubblicazione: (2025)

Adaptive Interviewing for Persona Simulation in LLMs: Evidence-Grounded Reasoning Improves Decision Alignment
di: Su, Ruoxi, et al.
Pubblicazione: (2026)

Exemplar Retrieval Without Overhypothesis Induction: Limits of Distributional Sequence Learning in Early Word Learning
di: Cacioli, Jon-Paul
Pubblicazione: (2026)

A Graph-based Approach for Multi-Modal Question Answering from Flowcharts in Telecom Documents
di: Soman, Sumit, et al.
Pubblicazione: (2025)

MORABLES: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with Fables
di: Marcuzzo, Matteo, et al.
Pubblicazione: (2025)

ReFactX: Scalable Reasoning with Reliable Facts via Constrained Generation
di: Pozzi, Riccardo, et al.
Pubblicazione: (2025)

Agentic Retrieval-Augmented Generation for Financial Document Question Answering
di: Shu, Yang, et al.
Pubblicazione: (2026)

Diffusion-based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion
di: Niu, Guanglin, et al.
Pubblicazione: (2025)

PerCoR: Evaluating Commonsense Reasoning in Persian via Multiple-Choice Sentence Completion
di: Alikhani, Morteza, et al.
Pubblicazione: (2025)

Evaluating Explainable AI Attribution Methods in Neural Machine Translation via Attention-Guided Knowledge Distillation
di: Nourbakhsh, Aria, et al.
Pubblicazione: (2026)

HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
di: He, Yongquan, et al.
Pubblicazione: (2024)

Bielik-Minitron-7B: Compressing Large Language Models via Structured Pruning and Knowledge Distillation for the Polish Language
di: Kinas, Remigiusz, et al.
Pubblicazione: (2026)