---
title: "Peking University — works"
description: "74 works by researchers of Peking University in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/universities/peking-university/works/"
---
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# Works of Peking University

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

1. [**DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning**DeepSeek-AI, Daya Guo, Dejian Yang, et al.*2025 · 4,593 citations*](https://md.research.elamur.ai/free/en/papers/deepseek-ai-2025-deepseek-r1-incentivizing-reasoning-capability/)
2. [**A Survey on Evaluation of Large Language Models**Yupeng Chang, Xu Wang, Jindong Wang, et al.*2023 · 3,640 citations*](https://md.research.elamur.ai/free/en/papers/chang-2023-survey-evaluation-large-language-models/)
3. [**DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models**Zhihong Shao, Peiyi Wang, Qihao Zhu, et al.*2024 · 2,013 citations*](https://md.research.elamur.ai/free/en/papers/shao-2024-deepseekmath-pushing-limits-mathematical-reasoning/)
4. [**VisualBERT: A Simple and Performant Baseline for Vision and Language**Liunian Harold Li, Mark Yatskar, Da Yin, et al.*2019 · 1,510 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-visualbert-simple-performant-baseline-vision/)
5. [**K-BERT: Enabling Language Representation with Knowledge Graph**Weijie Liu, Peng Zhou, Zhe Zhao, et al.*2019 · 1,006 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-k-bert-enabling-language-representation/)
6. [**Gated Self-Matching Networks for Reading Comprehension and Question Answering**Wenhui Wang, Nan Yang, Furu Wei, et al.*2017 · 823 citations*](https://md.research.elamur.ai/free/en/papers/wang-2017-gated-self-matching-networks-reading/)
7. [**Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths**Yan Xu, Lili Mou, Ge Li, et al.*2015 · 769 citations*](https://md.research.elamur.ai/free/en/papers/xu-2015-classifying-relations-long-short-term/)
8. [**WizardLM: Empowering large pre-trained language models to follow complex instructions**Can Xu, Qingfeng Sun, Kai Zheng, et al.*2023 · 729 citations*](https://md.research.elamur.ai/free/en/papers/xu-2023-wizardlm-empowering-large-pre-trained/)
9. [**Style Transfer in Text: Exploration and Evaluation**Zhenxin Fu, Xiaoye Tan, Nanyun Peng, et al.*2017 · 701 citations*](https://md.research.elamur.ai/free/en/papers/fu-2017-style-transfer-text-exploration-evaluation/)
10. [**Video-LLaVA: Learning United Visual Representation by Alignment Before Projection**Bin Lin, Yang Ye, Bin Zhu, et al.*2023 · 614 citations*](https://md.research.elamur.ai/free/en/papers/lin-2023-video-llava-learning-united-visual/)
11. [**Co-Training for Cross-Lingual Sentiment Classification**Xiaojun Wan*2009 · 594 citations*](https://md.research.elamur.ai/free/en/papers/wan-2009-co-training-cross-lingual-sentiment/)
12. [**Instruction Tuning for Large Language Models: A Survey**Shengyu Zhang, Linfeng Dong, Xiaoya Li, et al.*2023 · 515 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-instruction-tuning-large-language-models/)
13. [**Baichuan 2: Open Large-scale Language Models**Aiyuan Yang, Bin Xiao, Bingning Wang, et al.*2023 · 512 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-baichuan-2-open-large-scale/)
14. [**Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis**Wenhao Zhu, Hongyi Liu, Qingxiu Dong, et al.*2024 · 503 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2024-multilingual-machine-translation-large-language/)
15. [**Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations**Peiyi Wang, Lei Li, Zhihong Shao, et al.*2024 · 482 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-math-shepherd-verify-reinforce-llms/)
16. [**Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model**Yitao Cai, Huiyu Cai, Xiaojun Wan*2019 · 450 citations*](https://md.research.elamur.ai/free/en/papers/cai-2019-multi-modal-sarcasm-detection-twitter/)
17. [**Entity-Relation Extraction as Multi-Turn Question Answering**Xiaoya Li, Fan Yin, Zijun Sun, et al.*2019 · 437 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-entity-relation-extraction-as-multi/)
18. [**GPT-NER: Named Entity Recognition via Large Language Models**Shuhe Wang, Xiaofei Sun, Xiaoya Li, et al.*2025 · 436 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-gpt-ner-named-entity-recognition/)
19. [**Natural Language Inference by Tree-Based Convolution and Heuristic Matching**Lili Mou, Rui Men, Ge Li, et al.*2016 · 425 citations*](https://md.research.elamur.ai/free/en/papers/mou-2016-natural-language-inference-tree-based/)
20. [**Abstractive Document Summarization with a Graph-Based Attentional Neural Model**Jiwei Tan, Xiaojun Wan, Jianguo Xiao*2017 · 407 citations*](https://md.research.elamur.ai/free/en/papers/tan-2017-abstractive-document-summarization-graph-based/)
21. [**Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis**Chaoyou Fu, Yuhan Dai, Yongdong Luo, et al.*2024 · 403 citations*](https://md.research.elamur.ai/free/en/papers/fu-2024-video-mme-first-ever-comprehensive/)
22. [**CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction**Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, et al.*2018 · 375 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2018-cail2018-large-scale-legal-dataset/)
23. [**FastBERT: a Self-distilling BERT with Adaptive Inference Time**Weijie Liu, Peng Zhou, Zhiruo Wang, et al.*2020 · 374 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-fastbert-self-distilling-bert-adaptive/)
24. [**Question Answering on Freebase via Relation Extraction and Textual Evidence**Kun Xu, Siva Reddy, Yansong Feng, et al.*2016 · 357 citations*](https://md.research.elamur.ai/free/en/papers/xu-2016-question-answering-freebase-relation-extraction/)
25. [**ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate**Chi-Min Chan, Weize Chen, Yusheng Su, et al.*2023 · 351 citations*](https://md.research.elamur.ai/free/en/papers/chan-2023-chateval-better-llm-based/)
26. [**Do NLP Models Know Numbers? Probing Numeracy in Embeddings**Eric Wallace, Yizhong Wang, Sujian Li, et al.*2019 · 348 citations*](https://md.research.elamur.ai/free/en/papers/wallace-2019-do-nlp-models-know-numbers/)
27. [**GraphCodeBERT: Pre-training Code Representations with Data Flow**Daya Guo, Shuo Ren, Shuai Lu, et al.*2021 · 328 citations*](https://md.research.elamur.ai/free/en/papers/guo-2021-graphcodebert-pre-training-code-representations/)
28. [**Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach**Jingjing Xu, Xu Sun, Qi Zeng, et al.*2018 · 301 citations*](https://md.research.elamur.ai/free/en/papers/xu-2018-unpaired-sentiment-sentiment-translation-cycled/)
29. [**PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts**Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.*2023 · 301 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-promptrobust-towards-evaluating-robustness-large/)
30. [**Multi-step Jailbreaking Privacy Attacks on ChatGPT**Haoran Li, Dadi Guo, Wei Fan, et al.*2023 · 298 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-multi-step-jailbreaking-privacy-attacks/)
31. [**Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering**Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, et al.*2020 · 295 citations*](https://md.research.elamur.ai/free/en/papers/feng-2020-scalable-multi-hop-relational-reasoning/)
32. [**API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs**Minghao Li, Yingxiu Zhao, Bowen Yu, et al.*2023 · 281 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-api-bank-comprehensive-benchmark-tool/)
33. [**An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models**Liang Chen, Haozhe Zhao, Tianyu Liu, et al.*2024 · 276 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-image-worth-1-2-tokens/)
34. [**A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions**Junchao Wu, Shu Yang, Runzhe Zhan, et al.*2025 · 276 citations*](https://md.research.elamur.ai/free/en/papers/wu-2025-survey-llm-generated-text-detection/)
35. [**A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer**Fuli Luo, Peng Li, Jie Zhou, et al.*2019 · 265 citations*](https://md.research.elamur.ai/free/en/papers/luo-2019-dual-reinforcement-learning-framework-unsupervised/)
36. [**Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers**Damai Dai, Yutao Sun, Li Dong, et al.*2023 · 252 citations*](https://md.research.elamur.ai/free/en/papers/dai-2023-why-can-gpt-learn-context/)
37. [**Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture**Jiaxi Cui; Munan Ning; Zongjian Li; Bohua Chen; Yang Yan; Hao Li; Bin Ling; Yonghong Tian;, Li Yuan*2023 · 246 citations*](https://md.research.elamur.ai/free/en/papers/cui-2023-chatlaw-multi-agent-legal-assistant/)
38. [**Knowledge-Grounded Dialogue Generation with Pre-trained Language Models**Xueliang Zhao, Wei Wu, Can Xu, et al.*2020 · 244 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2020-knowledge-grounded-dialogue-generation-pre/)
39. [**Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction**Yubo Ma, Zehao Wang, Yixin Cao, et al.*2022 · 225 citations*](https://md.research.elamur.ai/free/en/papers/ma-2022-prompt-extraction-paie-prompting-argument/)
40. [**Reasoning Over Semantic-Level Graph for Fact Checking**Wanjun Zhong, Jingjing Xu, Duyu Tang, et al.*2020 · 221 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-reasoning-over-semantic-level-graph/)
41. [**Making Language Models Better Reasoners with Step-Aware Verifier**Yifei Li, Zeqi Lin, Shizhuo Zhang, et al.*2023 · 216 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-making-language-models-better-reasoners/)
42. [**Safe RLHF: Safe Reinforcement Learning from Human Feedback**Josef Dai, Xuehai Pan, Ruiyang Sun, et al.*2023 · 207 citations*](https://md.research.elamur.ai/free/en/papers/dai-2023-safe-rlhf-safe-reinforcement-learning/)
43. [**Recursive Deep Models for Discourse Parsing**Jiwei Li, Rumeng Li, Eduard Hovy*2014 · 206 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-recursive-deep-models-discourse-parsing/)
44. [**PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization**Yidong Wang, Zhuohao Yu, Zhengran Zeng, et al.*2023 · 189 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-pandalm-automatic-evaluation-benchmark-llm/)
45. [**SGPT: GPT Sentence Embeddings for Semantic Search**Niklas Muennighoff*2022 · 187 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2022-sgpt-gpt-sentence-embeddings-semantic/)
46. [**Preference Ranking Optimization for Human Alignment**Feifan Song, Bowen Yu, Minghao Li, et al.*2023 · 183 citations*](https://md.research.elamur.ai/free/en/papers/song-2023-preference-ranking-optimization-human-alignment/)
47. [**Representation Degeneration Problem in Training Natural Language Generation Models**Jun Gao, Di He, Xu Tan, et al.*2019 · 179 citations*](https://md.research.elamur.ai/free/en/papers/gao-2019-representation-degeneration-problem-training-natural/)
48. [**A Two-Stage Parsing Method for Text-Level Discourse Analysis**Yizhong Wang, Sujian Li, Houfeng Wang*2017 · 164 citations*](https://md.research.elamur.ai/free/en/papers/wang-2017-two-stage-parsing-method-text/)
49. [**LooGLE: Can Long-Context Language Models Understand Long Contexts?**Jiaqi Li, Mengmeng Wang, Zilong Zheng, et al.*2023 · 162 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-loogle-long-context-language-models/)
50. [**Implicit Discourse Relation Classification via Multi-Task Neural Networks**Yang Liu, Sujian Li, Xiaodong Zhang, et al.*2016 · 162 citations*](https://md.research.elamur.ai/free/en/papers/liu-2016-implicit-discourse-relation-classification-multi/)
51. [**Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents**Zihao Wang, Shaofei Cai, Guanzhou Chen, et al.*2023 · 161 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-describe-explain-plan-select-interactive/)
52. [**Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models**Bofei Gao, Feifan Song, Zhe Yang, et al.*2024 · 159 citations*](https://md.research.elamur.ai/free/en/papers/gao-2024-omni-math-universal-olympiad-level/)
53. [**Lawyer LLaMA Technical Report**Quzhe Huang, Mingxu Tao, Chen Zhang, et al.*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-lawyer-llama-technical-report/)
54. [**pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection**Wan Wei, Xiao Zhang, Xuqin Liu, et al.*2016 · 155 citations*](https://md.research.elamur.ai/free/en/papers/wei-2016-pkudblab-semeval-2016-task-6/)
55. [**Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning**Lean Wang, Lei Li, Damai Dai, et al.*2023 · 153 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-label-words-anchors-information-flow/)
56. [**Process Reinforcement through Implicit Rewards**Ganqu Cui, Lifan Yuan, Zefan Wang, et al.*2025 · 147 citations*](https://md.research.elamur.ai/free/en/papers/cui-2025-process-reinforcement-through-implicit-rewards/)
57. [**rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking**Xinyu Guan, Li Lyna Zhang, Yifei Liu, et al.*2025 · 146 citations*](https://md.research.elamur.ai/free/en/papers/guan-2025-rstar-math-small-llms-can/)
58. [**Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding**Heming Xia, Zhe Yang, Qingxiu Dong, et al.*2024 · 145 citations*](https://md.research.elamur.ai/free/en/papers/xia-2024-unlocking-efficiency-large-language-model/)
59. [**SGM: Sequence Generation Model for Multi-label Classification**Pengcheng Yang, Xu Sun, Wei Li, et al.*2018 · 145 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-sgm-sequence-generation-model-multi/)
60. [**Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge**Jiayi Ye, Yanbo Wang, Yue Huang, et al.*2024 · 142 citations*](https://md.research.elamur.ai/free/en/papers/ye-2024-justice-prejudice-quantifying-biases-llm/)
61. [**A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation**Tianyu Liu, Yizhe Zhang, Chris Brockett, et al.*2022 · 140 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-token-level-reference-free-hallucination/)
62. [**SafetyBench: Evaluating the Safety of Large Language Models**Zhexin Zhang, Leqi Lei, Lindong Wu, et al.*2023 · 135 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-safetybench-evaluating-safety-large/)
63. [**Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning**Pan Lu, Ran Gong, Shibiao Jiang, et al.*2021 · 134 citations*](https://md.research.elamur.ai/free/en/papers/lu-2021-inter-gps-interpretable-geometry-problem/)
64. [**EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees**Yuhui Li, Fangyun Wei, Chao Zhang, et al.*2024 · 131 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-eagle-2-faster-inference-language/)
65. [**Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention**Yang Liu, Sujian Li*2016 · 128 citations*](https://md.research.elamur.ai/free/en/papers/liu-2016-recognizing-implicit-discourse-relations-repeated/)
66. [**Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models**Lei Li, Yuqi Wang, Runxin Xu, et al.*2024 · 123 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-multimodal-arxiv-dataset-improving-scientific/)
67. [**RestGPT: Connecting Large Language Models with Real-World RESTful APIs**Yifan Song, Weimin Xiong, Dawei Zhu, et al.*2023 · 108 citations*](https://md.research.elamur.ai/free/en/papers/song-2023-restgpt-connecting-large-language-models/)
68. [**AMR-To-Text Generation with Graph Transformer**Tianming Wang, Xiaojun Wan, Hanqi Jin*2020 · 108 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-amr-text-generation-graph-transformer/)
69. [**SciDTB: Discourse Dependency TreeBank for Scientific Abstracts**An Yang, Sujian Li*2018 · 83 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-scidtb-discourse-dependency-treebank-scientific/)
70. [**Implicit Discourse Relation Recognition by Selecting Typical Training Examples**Xun Wang, Sujian Li, Jiwei Li, et al.*2012 · 47 citations*](https://md.research.elamur.ai/free/en/papers/wang-2012-implicit-discourse-relation-recognition-selecting/)
71. [**How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark**Minglai Yang, Ethan Huang, Liang Zhang, et al.*2025 · 24 citations*](https://md.research.elamur.ai/free/en/papers/yang-2025-llm-reasoning-distracted-irrelevant-context/)
72. [**A Double-Graph Based Framework for Frame Semantic Parsing**Ce Zheng, Xudong Chen, Runxin Xu, et al.*2022 · 20 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2022-double-graph-based-framework-frame/)
73. [**Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference Tuning**Shengguang Wu, Shusheng Yang, Zhenglun Chen, et al.*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/wu-2024-rethinking-pragmatics-large-language-models/)
74. [**Incorporate Semantic Structures into Machine Translation Evaluation via UCCA**Jin Xu, Yinuo Guo, Junfeng Hu*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-incorporate-semantic-structures-into-machine/)
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