Cover Image

Question Calibration and Multi-Hop Modeling for Temporal Question Answering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xue, Chao, Liang, Di, Wang, Pengfei, Zhang, Jing
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering
by: Lu, Yifan, et al.
Published: (2024)

End-to-End Beam Retrieval for Multi-Hop Question Answering
by: Zhang, Jiahao, et al.
Published: (2023)

Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability
by: Chen, Xiangsen, et al.
Published: (2024)

Resource-Friendly Dynamic Enhancement Chain for Multi-Hop Question Answering
by: Ji, Binquan, et al.
Published: (2025)

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
by: Zhuang, Ziyuan, et al.
Published: (2024)

Credible Plan-Driven RAG Method for Multi-Hop Question Answering
by: Zhang, Ningning, et al.
Published: (2025)

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

CRAFT: Calibrated Reasoning with Answer-Faithful Traces via Reinforcement Learning for Multi-Hop Question Answering
by: Liu, Yu, et al.
Published: (2026)

$π$-CoT: Prolog-Initialized Chain-of-Thought Prompting for Multi-Hop Question-Answering
by: Wan, Chao, et al.
Published: (2025)

BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering
by: Zhang, Taolin, et al.
Published: (2025)

Memory-Aware and Uncertainty-Guided Retrieval for Multi-Hop Question Answering
by: Ji, Yuelyu, et al.
Published: (2025)

Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering
by: Zhu, Rongzhi, et al.
Published: (2025)

QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering
by: Ouyang, Sheng, et al.
Published: (2024)

DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering
by: Wang, Xinyi, et al.
Published: (2025)

REAP: Enhancing RAG with Recursive Evaluation and Adaptive Planning for Multi-Hop Question Answering
by: Zhu, Yijie, et al.
Published: (2025)

Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering
by: Chen, Mingda, et al.
Published: (2023)

FrugalRAG: Less is More in RL Finetuning for Multi-Hop Question Answering
by: Java, Abhinav, et al.
Published: (2025)

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

ConRAG: Consensus-Driven Multi-View Retrieval for Multi-Hop Question Answering
by: Zhu, Yikai, et al.
Published: (2026)

Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering
by: Shi, Yucheng, et al.
Published: (2024)

CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answering
by: Yang, Hao, et al.
Published: (2026)

LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments
by: Chen, Ruirui, et al.
Published: (2024)

Consistency-Aware Parameter-Preserving Knowledge Editing Framework for Multi-Hop Question Answering
by: Deng, Lingwen, et al.
Published: (2025)

MDER-DR: Multi-Hop Question Answering with Entity-Centric Summaries
by: Campi, Riccardo, et al.
Published: (2026)

A Method for Multi-Hop Question Answering on Persian Knowledge Graph
by: Ghafouri, Arash, et al.
Published: (2025)

Reasoning in Trees: Improving Retrieval-Augmented Generation for Multi-Hop Question Answering
by: Shi, Yuling, et al.
Published: (2026)

Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel Knowledge
by: Yang, Zhuoyi, et al.
Published: (2026)

Multi-hop Question Answering under Temporal Knowledge Editing
by: Cheng, Keyuan, et al.
Published: (2024)

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

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

Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo
by: Rampal, Nakul, et al.
Published: (2024)

Calibrated Large Language Models for Binary Question Answering
by: Giovannotti, Patrizio, et al.
Published: (2024)

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge
by: He, Jie, et al.
Published: (2024)

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering
by: Wu, Ruofan, et al.
Published: (2025)

Zero-Shot Multi-Hop Question Answering via Monte-Carlo Tree Search with Large Language Models
by: Lee, Seongmin, et al.
Published: (2024)

Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs
by: Thompson, Travis, et al.
Published: (2025)

An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering
by: Murphy, Alexander, et al.
Published: (2025)

StepChain GraphRAG: Reasoning Over Knowledge Graphs for Multi-Hop Question Answering
by: Ni, Tengjun, et al.
Published: (2025)

FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering
by: Wang, Xiaochen, et al.
Published: (2024)

FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models
by: Zhu, Andrew, et al.
Published: (2024)