Nan Hu
Orcid: 0009-0001-4062-3515
According to our database1,
Nan Hu
authored at least 18 papers
between 2023 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Pandora: Leveraging Code-driven Knowledge Transfer for Unified Structured Knowledge Reasoning.
CoRR, August, 2025
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
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
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
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