Nan Xu

Orcid: 0000-0002-9794-7262

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, Beijing, China
  • Beijing Wenge Technology Co., Ltd, Beijing, China


According to our database1, Nan Xu authored at least 38 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Scientific Logicality Enriched Methodology for LLM Reasoning: A Practice in Physics.
CoRR, May, 2026

mChartQA and mChartQABench: A multimodal-only solution for complex chart question-answering.
Pattern Recognit., 2026

Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language Agents.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
SurveyEval: Towards Comprehensive Evaluation of LLM-Generated Academic Surveys.
CoRR, December, 2025

Meow: End-to-End Outline Writing for Automatic Academic Survey.
CoRR, September, 2025

Adaptive Thinking via Mode Policy Optimization for Social Language Agents.
CoRR, May, 2025

ImaRA: An Imaginative Frame Augmented Method for Low-Resource Multimodal Metaphor Detection and Explanation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.
CoRR, 2024

mChartQA: A universal benchmark for multimodal Chart Question Answer based on Vision-Language Alignment and Reasoning.
CoRR, 2024

A Theory Guided Scaffolding Instruction Framework for LLM-Enabled Metaphor Reasoning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MMA-Diffusion: MultiModal Attack on Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PromISe: Releasing the Capabilities of LLMs with Prompt Introspective Search.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Bridging Word-Pair and Token-Level Metaphor Detection with Explainable Domain Mining.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
AnANet: Association and Alignment Network for Modeling Implicit Relevance in Cross-Modal Correlation Classification.
IEEE Trans. Multim., 2023

YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information Extraction.
CoRR, 2023

YAYI 2: Multilingual Open-Source Large Language Models.
CoRR, 2023

MMA-Diffusion: MultiModal Attack on Diffusion Models.
CoRR, 2023

Controllable News Comment Generation based on Attribute Level Contrastive Learning.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023

Adversarial Topic-Aware Memory Network for Cross-Lingual Stance Detection.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023

Modeling Conceptual Attribute Likeness and Domain Inconsistency for Metaphor Detection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Target-Oriented Relation Alignment for Cross-Lingual Stance Detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Dynamic Routing Transformer Network for Multimodal Sarcasm Detection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval.
IEEE Intell. Syst., 2022

2021
MDA: Multimodal Data Augmentation Framework for Boosting Performance on Sentiment/Emotion Classification Tasks.
IEEE Intell. Syst., 2021

AnANet: Modeling Association and Alignment for Cross-modal Correlation Classification.
CoRR, 2021

PAN: Prototype-based Adaptive Network for Robust Cross-modal Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

A Central Opinion Extraction Framework for Boosting Performance on Sentiment Analysis.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2021

2020
Event-Driven Network for Cross-Modal Retrieval.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
NPP: A neural popularity prediction model for social media content.
Neurocomputing, 2019

Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Co-Memory Network for Multimodal Sentiment Analysis.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

MNRD: A Merged Neural Model For Rumor Detection In Social Media.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

An Encoder-Memory-Decoder Framework for Sub-Event Detection in Social Media.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
MultiSentiNet: A Deep Semantic Network for Multimodal Sentiment Analysis.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017


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