---
title: "Fudan University — works"
description: "45 works by researchers of Fudan University in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/universities/fudan-university/works/"
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# Works of Fudan University

45 works · the most cited first · [← Fudan University](https://md.research.elamur.ai/free/en/universities/fudan-university/)

1. [**Pre-trained Models for Natural Language Processing: A Survey**Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.*2020 · 1,740 citations*](https://md.research.elamur.ai/free/en/papers/qiu-2020-pre-trained-models-natural-language/)
2. [**Retrieval-Augmented Generation for Large Language Models: A Survey**Yunfan Gao, Yun Xiong, Xinyu Gao, et al.*2023 · 1,647 citations*](https://md.research.elamur.ai/free/en/papers/gao-2023-retrieval-augmented-generation-large-language/)
3. [**The Rise and Potential of Large Language Model Based Agents: A Survey**Zhiheng Xi, Wenxiang Chen, Xin Guo, et al.*2023 · 1,262 citations*](https://md.research.elamur.ai/free/en/papers/xi-2023-rise-potential-large-language/)
4. [**BERT-ATTACK: Adversarial Attack Against BERT Using BERT**Linyang Li, Ruotian Ma, Qipeng Guo, et al.*2020 · 840 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-bert-attack-adversarial-attack-against/)
5. [**Adversarial Multi-task Learning for Text Classification**Pengfei Liu, Xipeng Qiu, Xuanjing Huang*2017 · 723 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-adversarial-multi-task-learning-text/)
6. [**K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters**Ruize Wang, Duyu Tang, Nan Duan, et al.*2020 · 662 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-k-adapter-infusing-knowledge-pre/)
7. [**Extractive Summarization as Text Matching**Ming Zhong, Pengfei Liu, Yiran Chen, et al.*2020 · 567 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-extractive-summarization-as-text-matching/)
8. [**How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites**Zhe Chen, Weiyun Wang, Hao Tian, et al.*2024 · 529 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-far-gpt-4v-closing/)
9. [**FLAT: Chinese NER Using Flat-Lattice Transformer**Xiaonan Li, Hang Yan, Xipeng Qiu, et al.*2020 · 503 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-flat-chinese-ner-flat-lattice/)
10. [**Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures**Wenqiang Lei, Xisen Jin, Min-Yen Kan, et al.*2018 · 426 citations*](https://md.research.elamur.ai/free/en/papers/lei-2018-sequicity-simplifying-task-oriented-dialogue/)
11. [**Phrase Dependency Parsing for Opinion Mining**Yuanbin Wu, Qi Zhang, Xuanjing Huang, et al.*2009 · 422 citations*](https://md.research.elamur.ai/free/en/papers/wu-2009-phrase-dependency-parsing-opinion-mining/)
12. [**InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks**Zhe Chen, Jiannan Wu, Wenhai Wang, et al.*2023 · 409 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-internvl-scaling-up-vision/)
13. [**How to Fine-Tune BERT for Text Classification?**Chi Sun, Xipeng Qiu, Yige Xu, et al.*2019 · 400 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-fine-tune-bert-text-classification/)
14. [**QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization**Ming Zhong, Da Yin, Tao Yu, et al.*2021 · 397 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2021-qmsum-new-benchmark-query-based/)
15. [**A Unified Generative Framework for Aspect-based Sentiment Analysis**Hang Yan, Junqi Dai, Tuo Ji, et al.*2021 · 396 citations*](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-aspect-based/)
16. [**LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning**Jian Liu, Leyang Cui, Hanmeng Liu, et al.*2020 · 395 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-logiqa-challenge-dataset-machine-reading/)
17. [**A Unified Generative Framework for Various NER Subtasks**Hang Yan, Tao Gui, Junqi Dai, et al.*2021 · 392 citations*](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-various-ner/)
18. [**Heterogeneous Graph Neural Networks for Extractive Document Summarization**Danqing Wang, Pengfei Liu, Yining Zheng, et al.*2020 · 368 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-heterogeneous-graph-neural-networks-extractive/)
19. [**GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge**Luyao Huang, Chi Sun, Xipeng Qiu, et al.*2019 · 364 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-glossbert-bert-word-sense-disambiguation/)
20. [**SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities**Dong Zhang, Shimin Li, Xin Zhang, et al.*2023 · 346 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-speechgpt-empowering-large-language-models/)
21. [**Deep Learning for Chinese Word Segmentation and POS Tagging**Xiaoqing Zheng, Hanyang Chen, Tianyu Xu*2013 · 340 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2013-deep-learning-chinese-word-segmentation/)
22. [**Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation**Ning Dai, Jianze Liang, Xipeng Qiu, et al.*2019 · 300 citations*](https://md.research.elamur.ai/free/en/papers/dai-2019-style-transformer-unpaired-text-style/)
23. [**Character-LLM: A Trainable Agent for Role-Playing**Yunfan Shao, Linyang Li, Junqi Dai, et al.*2023 · 300 citations*](https://md.research.elamur.ai/free/en/papers/shao-2023-character-llm-trainable-agent-role/)
24. [**InternLM2 Technical Report**Zheng Cai, Maosong Cao, Haojiong Chen, et al.*2024 · 299 citations*](https://md.research.elamur.ai/free/en/papers/cai-2024-internlm2-technical-report/)
25. [**Is ChatGPT a Good NLG Evaluator? A Preliminary Study**Jiaan Wang, Yunlong Liang, Fandong Meng, et al.*2023 · 281 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-chatgpt-good-nlg-evaluator-preliminary/)
26. [**Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling**Zhe Chen, Weiyun Wang, Yue Cao, et al.*2024 · 276 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-expanding-performance-boundaries-open/)
27. [**Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4**Hanmeng Liu, Ruoxi Ning, Zhiyang Teng, et al.*2023 · 212 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-evaluating-logical-reasoning-ability-chatgpt/)
28. [**LIMO: Less is More for Reasoning**Yixin Ye, Zhen Huang, Yang Xiao, et al.*2025 · 204 citations*](https://md.research.elamur.ai/free/en/papers/ye-2025-limo-less-more-reasoning/)
29. [**InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction**Xiao Wang, Weikang Zhou, Can Zu, et al.*2023 · 194 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-instructuie-multi-task-instruction-tuning/)
30. [**Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information**Zehui Lin, Xiao Pan, Mingxuan Wang, et al.*2020 · 177 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-pre-training-multilingual-neural-machine/)
31. [**Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 174 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/)
32. [**Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts**Jian Xie, Kai Zhang, Jiangjie Chen, et al.*2023 · 165 citations*](https://md.research.elamur.ai/free/en/papers/xie-2023-adaptive-chameleon-stubborn-sloth-revealing/)
33. [**Unified Demonstration Retriever for In-Context Learning**Xiaonan Li, Kai Lv, Hang Yan, et al.*2023 · 144 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-unified-demonstration-retriever-context-learning/)
34. [**Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network**Jifan Chen, Qi Zhang, Pengfei Liu, et al.*2016 · 114 citations*](https://md.research.elamur.ai/free/en/papers/chen-2016-implicit-discourse-relation-detection-deep/)
35. [**From Persona to Personalization: A Survey on Role-Playing Language Agents**Jiangjie Chen, Xintao Wang, Rui Xu, et al.*2024 · 114 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-persona-personalization-survey-role-playing/)
36. [**Evaluating the Performance of Large Language Models on GAOKAO Benchmark**Xiaotian Zhang, Chunyang Li, Yi Zong, et al.*2023 · 107 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-evaluating-performance-large-language/)
37. [**Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples**Xiaoqing Zheng, Jiehang Zeng, Yi Zhou, et al.*2020 · 54 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2020-evaluating-enhancing-robustness-neural-network/)
38. [**SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models**Xin Zhang, Dong Zhang, Shimin Li, et al.*2023 · 51 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-speechtokenizer-unified-speech-tokenizer-speech/)
39. [**Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models**Qingkai Min, Qipeng Guo, Xiangkun Hu, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/min-2024-synergetic-event-understanding-collaborative-approach/)
40. [**Tackling Zero Pronoun Resolution and Non-Zero Coreference Resolution Jointly**Shisong Chen, Binbin Gu, Jianfeng Qu, et al.*2021 · 15 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-tackling-zero-pronoun-resolution-non/)
41. [**Dual Cache for Long Document Neural Coreference Resolution**Qipeng Guo, Xiangkun Hu, Yue Zhang, et al.*2023 · 12 citations*](https://md.research.elamur.ai/free/en/papers/guo-2023-dual-cache-long-document-neural/)
42. [**Scaling Laws for Code: A More Data-Hungry Regime**Xianzhen Luo, Wenzhen Zheng, Qingfu Zhu, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/luo-2026-scaling-laws-code-more-data/)
43. [**XQ-MEval: A Dataset with Cross-lingual Parallel Quality for Benchmarking Translation Metrics**Jingxuan Liu, Zhi Qu, Jin Tei, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/liu-2026-xq-meval-dataset-cross-lingual/)
44. [**MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues**Yaning Pan, Qianqian Xie, Guohui Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pan-2026-mt-video-bench-holistic-video/)
45. [**From Categories to Decisions: A Framework for Attitudinal Analysis of Evaluative Language**Jiamei Zeng, Haitao Wang, Harry Bunt, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeng-2026-categories-decisions-framework-attitudinal-analysis/)
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