Nan Hu

Orcid: 0009-0001-4062-3515

According to our database1, Nan Hu authored at least 18 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Pandora: Leveraging Code-driven Knowledge Transfer for Unified Structured Knowledge Reasoning.
CoRR, August, 2025

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation.
CoRR, July, 2025

OneEval: Benchmarking LLM Knowledge-intensive Reasoning over Diverse Knowledge Bases.
CoRR, June, 2025

After Retrieval, Before Generation: Enhancing the Trustworthiness of Large Language Models in RAG.
CoRR, May, 2025

Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs.
CoRR, January, 2025

Question answering over spatio-temporal knowledge graph.
Knowl. Based Syst., 2025

Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Rethinking Stateful Tool Use in Multi-Turn Dialogues: Benchmarks and Challenges.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge.
CoRR, 2024

HGT: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding.
CoRR, 2024

Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs.
CoRR, 2024

Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
An empirical study of pre-trained language models in simple knowledge graph question answering.
World Wide Web (WWW), September, 2023

Evaluation of ChatGPT as a Question Answering System for Answering Complex Questions.
CoRR, 2023

Can ChatGPT Replace Traditional KBQA Models? An In-Depth Analysis of the Question Answering Performance of the GPT LLM Family.
Proceedings of the Semantic Web - ISWC 2023, 2023


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