:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Boyi, Liu, Zhuo, He, Hangfeng
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2506.00331
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Role of Model Prior in Real-World Inductive Reasoning
by: Liu, Zhuo, et al.
Published: (2024)

Same Company, Same Signal: The Role of Identity in Earnings Call Transcripts
by: Yu, Ding, et al.
Published: (2024)

Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting
by: Wu, Jiarui, et al.
Published: (2025)

AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering
by: Zhang, Taolin, et al.
Published: (2026)

Multimodal Reranking for Knowledge-Intensive Visual Question Answering
by: Wen, Haoyang, et al.
Published: (2024)

Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering
by: Du, Haowei, et al.
Published: (2024)

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks
by: Yuen, Sizhe, et al.
Published: (2025)

SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning Evaluation
by: He, Hangfeng, et al.
Published: (2023)

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

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

A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering
by: Li, Yunxin, et al.
Published: (2023)

KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions
by: Xu, Fangyuan, et al.
Published: (2024)

Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering
by: Wang, Yuqi, et al.
Published: (2024)

Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation
by: Lyu, Yuanjie, et al.
Published: (2024)

Self-Improvement Programming for Temporal Knowledge Graph Question Answering
by: Chen, Zhuo, et al.
Published: (2024)

LLM-based Discriminative Reasoning for Knowledge Graph Question Answering
by: Xu, Mufan, et al.
Published: (2024)

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

Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering
by: Zhu, Jiajun, et al.
Published: (2025)

MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering
by: Shi, Yucheng, et al.
Published: (2023)

Rationale-Guided Retrieval Augmented Generation for Medical Question Answering
by: Sohn, Jiwoong, et al.
Published: (2024)

KnowMT-Bench: Benchmarking Knowledge-Intensive Long-Form Question Answering in Multi-Turn Dialogues
by: Chen, Junhao, et al.
Published: (2025)

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

MHQA: A Diverse, Knowledge Intensive Mental Health Question Answering Challenge for Language Models
by: Racha, Suraj, et al.
Published: (2025)

When Cases Get Rare: A Retrieval Benchmark for Off-Guideline Clinical Question Answering
by: Lee, Doeun, et al.
Published: (2026)

Unveiling Divergent Inductive Biases of LLMs on Temporal Data
by: Kishore, Sindhu, et al.
Published: (2024)

Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts
by: Chen, Zhuo, et al.
Published: (2024)

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering
by: Sui, Yuan, et al.
Published: (2024)

Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering
by: Liu, Guangyi, et al.
Published: (2024)

An Empirical Analysis on Large Language Models in Debate Evaluation
by: Liu, Xinyi, et al.
Published: (2024)

Plan of Knowledge: Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
by: Qian, Xinying, et al.
Published: (2025)

PDF Retrieval Augmented Question Answering
by: Hoang, Thi Thu Uyen, et al.
Published: (2025)

Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering
by: Chu, Zheng, et al.
Published: (2025)

Knowledge Dependency Estimation for Reliable Question Answering
by: Tong, Chaodong, et al.
Published: (2026)

Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
by: Ning, Yunfeng, et al.
Published: (2025)

Cross-modal Retrieval for Knowledge-based Visual Question Answering
by: Lerner, Paul, et al.
Published: (2024)

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

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

Question-to-Question Retrieval for Hallucination-Free Knowledge Access: An Approach for Wikipedia and Wikidata Question Answering
by: Thottingal, Santhosh
Published: (2025)

The Role of Model Confidence on Bias Effects in Measured Uncertainties for Vision-Language Models
by: Liu, Xinyi, et al.
Published: (2025)

RefTool: Reference-Guided Tool Creation for Knowledge-Intensive Reasoning
by: Liu, Xiao, et al.
Published: (2025)