---
title: "Jie Tang — all works — Elamur Research"
description: "All 53 works of Jie Tang in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/jie-tang/works/"
---
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# Jie Tang — all works

53 works · [← Jie Tang](https://md.research.elamur.ai/free/en/authors/jie-tang/)

1. **[GLM: General Language Model Pretraining with Autoregressive Blank Infilling](https://md.research.elamur.ai/free/en/papers/du-2022-glm-general-language-model-pretraining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengxiao Du, Yujie Qian, Xiao Liu, et al.*2022 · 1,455 citations*
2. **[GPT Understands, Too](https://md.research.elamur.ai/free/en/papers/liu-2021-gpt-understands-too/) [AI Open](https://md.research.elamur.ai/free/en/venues/ai-open/)**Xiao Liu, Yanan Zheng, Zhengxiao Du, et al.*2021 · 1,054 citations*
3. **[P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks](https://md.research.elamur.ai/free/en/papers/liu-2022-p-tuning-prompt-tuning-can/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiao Liu, Kaixuan Ji, Yicheng Fu, et al.*2022 · 1,017 citations*
4. [**LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding arXiv:2308.14508**Yushi Bai, Xin Lv, Jiajie Zhang, et al.*2023 · 514 citations*](https://md.research.elamur.ai/free/en/papers/bai-2023-longbench-bilingual-multitask-benchmark/)
5. [**CogView: Mastering Text-to-Image Generation via Transformers arXiv:2105.13290**Ming Ding, Zhuoyi Yang, Wenyi Hong, et al.*2021 · 469 citations*](https://md.research.elamur.ai/free/en/papers/ding-2021-cogview-mastering-text-image/)
6. [**P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks arXiv:2110.07602**Xiao Liu, Kaixuan Ji, Yicheng Fu, et al.*2021 · 469 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-p-tuning-v2-prompt-tuning/)
7. **[User-level sentiment analysis incorporating social networks ↗](https://doi.org/10.1145/2020408.2020614) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Chenhao Tan et al.*2011 · 460 citations*
8. **[COSNET ↗](https://doi.org/10.1145/2783258.2783268) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Yutao Zhang et al.*2015 · 283 citations*
9. **[Towards Knowledge-Based Recommender Dialog System ↗](https://aclanthology.org/D19-1189/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Qibin Chen et al.*2019 · 282 citations*
10. **[Cognitive Graph for Multi-Hop Reading Comprehension at Scale ↗](https://aclanthology.org/P19-1259/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Ming Ding et al.*2019 · 269 citations*
11. **[ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search](https://md.research.elamur.ai/free/en/papers/zhang-2024-rest-mcts-llm-self-training/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Dan Zhang, Sining Zhoubian, Ziniu Hu, et al.*2024 · 200 citations*
12. [**CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers arXiv:2205.15868**Wenyi Hong, Ming Ding, Wendi Zheng, et al.*2022 · 191 citations*](https://md.research.elamur.ai/free/en/papers/hong-2022-cogvideo-large-scale-pretraining/)
13. [**AgentTuning: Enabling Generalized Agent Abilities for LLMs arXiv:2310.12823**Aohan Zeng, Mingdao Liu, Rui Lu, et al.*2023 · 163 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2023-agenttuning-enabling-generalized-agent/)
14. **[Graph Random Neural Networks for Semi-Supervised Learning on Graphs ↗](https://openalex.org/W3098797593) neural information processing systems · no summary yet**Wenzheng Feng et al.*2020 · 161 citations*
15. **[Prerequisite Relation Learning for Concepts in MOOCs ↗](https://aclanthology.org/P17-1133/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Liangming Pan et al.*2017 · 146 citations*
16. [**SafetyBench: Evaluating the Safety of Large Language Models arXiv:2309.07045**Zhexin Zhang, Leqi Lei, Lindong Wu, et al.*2023 · 140 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-safetybench-evaluating-safety-large/)
17. [**LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks arXiv:2412.15204**Yushi Bai, Shangqing Tu, Jiajie Zhang, et al.*2024 · 135 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-longbench-v2-deeper-understanding/)
18. **[FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning ↗](https://aclanthology.org/2022.acl-long.592/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jing Zhou et al.*2022 · 110 citations*
19. **[WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models ↗](https://doi.org/10.1016/j.aiopen.2021.06.001) AI Open · no summary yet**Sha Yuan et al.*2021 · 109 citations*
20. **[CogLTX: Applying BERT to Long Texts ↗](https://openalex.org/W3103677861) neural information processing systems · no summary yet**Ming Ding et al.*2020 · 105 citations*
21. [**LongAlign: A Recipe for Long Context Alignment of Large Language Models arXiv:2401.18058**Yushi Bai, Xin Lv, Jiajie Zhang, et al.*2024 · 98 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-longalign-recipe-long-context/)
22. **[AutoWebGLM: A Large Language Model-based Web Navigating Agent](https://md.research.elamur.ai/free/en/papers/lai-2024-autowebglm-large-language-model-based/) [ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/)**Hanyu Lai, Xiao Liu, Iat Long Iong, et al.*2024 · 96 citations*
23. **[WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences](https://md.research.elamur.ai/free/en/papers/liu-2023-webglm-efficient-web-enhanced/) [ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/)**Xiao Liu, Hanyu Lai, Hao Yu, et al.*2023 · 95 citations*
24. **[FastMoE: A Fast Mixture-of-Expert Training System ↗](https://arxiv.org/abs/2103.13262) arXiv:2103.13262 · no summary yet**Jiaao He et al.*2021 · 93 citations*
25. **[LVBench: An Extreme Long Video Understanding Benchmark](https://md.research.elamur.ai/free/en/papers/wang-2024-lvbench-extreme-long-video-understanding/) [IEEE/CVF International Conference on Computer Vision (ICCV)](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/)**Weihan Wang, Zehai He, Wenyi Hong, et al.*2024 · 89 citations*
26. **[DeepStruct: Pretraining of Language Models for Structure Prediction ↗](https://aclanthology.org/2022.findings-acl.67/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Chenguang Wang et al.*2022 · 83 citations*
27. **[AutoRE: Document-Level Relation Extraction with Large Language Models](https://md.research.elamur.ai/free/en/papers/xue-2024-autore-document-level-relation-extraction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lilong Xue, Dan Zhang, Yuxiao Dong, et al.*2024 · 79 citations*
28. **[Black-Box Prompt Optimization: Aligning Large Language Models without Model Training](https://md.research.elamur.ai/free/en/papers/cheng-2024-black-box-prompt-optimization-aligning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiale Cheng, Xiao Liu, Kehan Zheng, et al.*2024 · 72 citations*
29. [**CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation arXiv:2311.18702**Pei Ke, Bosi Wen, Zhuoer Feng, et al.*2023 · 69 citations*](https://md.research.elamur.ai/free/en/papers/ke-2023-critiquellm-informative-critique-generation/)
30. [**LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs arXiv:2408.07055**Yushi Bai, Jiajie Zhang, Xin Lv, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-longwriter-unleashing-10-000/)
31. [**GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot arXiv:2412.02612**Aohan Zeng, Zhengxiao Du, Mingdao Liu, et al.*2024 · 65 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2024-glm-4-voice-intelligent/)
32. **[Zero-Shot Information Extraction as a Unified Text-to-Triple Translation ↗](https://aclanthology.org/2021.emnlp-main.94/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Chenguang Wang et al.*2021 · 59 citations*
33. **[Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models ↗](https://arxiv.org/abs/1906.09427) arXiv (Cornell University) · no summary yet**Guangyong Chen et al.*2019 · 55 citations*
34. **[FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding ↗](https://aclanthology.org/2022.acl-long.38/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yanan Zheng et al.*2022 · 34 citations*
35. [**ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline arXiv:2404.02893**Yifan Xu, Xiao Liu, Xinghan Liu, et al.*2024 · 30 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-chatglm-math-improving-math/)
36. **[AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents](https://md.research.elamur.ai/free/en/papers/xu-2025-androidlab-training-systematic-benchmarking-android/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifan Xu, Xiao Liu, Xueqiao Sun, et al.*2025 · 27 citations*
37. **[TreeRL: LLM Reinforcement Learning with On-Policy Tree Search](https://md.research.elamur.ai/free/en/papers/hou-2025-treerl-llm-reinforcement-learning-policy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhenyu Hou, Ziniu Hu, Yujiang Li, et al.*2025 · 26 citations*
38. **[SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation](https://md.research.elamur.ai/free/en/papers/ma-2024-spreadsheetbench-towards-challenging-real-world/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zeyao Ma, Bohan Zhang, Jing Zhang, et al.*2024 · 21 citations*
39. **[Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs ↗](https://arxiv.org/abs/1508.00715) arXiv (Cornell University) · no summary yet**Zhilin Yang, Jie Tang, William W. Cohen*2015 · 20 citations*
40. [**ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback arXiv:2404.00934**Zhenyu Hou, Yilin Niu, Zhengxiao Du, et al.*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/hou-2024-chatglm-rlhf-practices-aligning/)
41. **[NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries](https://md.research.elamur.ai/free/en/papers/zhang-2024-naturalcodebench-examining-coding-performance-mismatch/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shudan Zhang, Hanlin Zhao, Xiao Liu, et al.*2024 · 17 citations*
42. **[A Probabilistic Framework for Location Inference from Social Media ↗](https://arxiv.org/abs/1702.07281) arXiv (Cornell University) · no summary yet**Yujie Qian et al.*2017 · 15 citations*
43. [**Scaling Speech-Text Pre-training with Synthetic Interleaved Data arXiv:2411.17607**Aohan Zeng, Zhengxiao Du, Mingdao Liu, et al.*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2024-scaling-speech-text-pre-training/)
44. **[DataSciBench: An LLM Agent Benchmark for Data Science](https://md.research.elamur.ai/free/en/papers/zhang-2026-datascibench-llm-agent-benchmark-data/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dan Zhang, Sining Zhoubian, Min Cai, et al.*2026 · 13 citations*
45. [**MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model arXiv:2409.13729**Zhen Yang, Jinhao Chen, Zhengxiao Du, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-mathglm-vision-solving-mathematical-problems/)
46. **[Glyph: Scaling Context Windows via Visual-Text Compression](https://md.research.elamur.ai/free/en/papers/cheng-2026-glyph-scaling-context-windows-visual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiale Cheng, Yusen Liu, Xinyu Zhang, et al.*2026 · 6 citations*
47. **[Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation Evaluation](https://md.research.elamur.ai/free/en/papers/tian-2026-beyond-literal-mapping-benchmarking-improving/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yanzhi Tian, Cunxiang Wang, Zeming Liu, et al.*2026 · 5 citations*
48. **[A Generalizable Approach to Learning Optimizers ↗](https://arxiv.org/abs/2106.00958) arXiv (Cornell University) · no summary yet**Almeida, Diogo et al.*2021 · 5 citations*
49. **[Data Efficient RLVR via Off-Policy Influence Guidance](https://md.research.elamur.ai/free/en/papers/zhu-2026-data-efficient-rlvr-off-policy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Erle Zhu, Dazhi Jiang, Yuan Wang, et al.*2026*
50. **[KARL: Reinforcement Learning for LLM Agents on Multi-Turn Knowledge-Intensive Agentic Tasks](https://md.research.elamur.ai/free/en/papers/sun-2026-karl-reinforcement-learning-llm-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xueqiao Sun, Xiao Liu, Bowen Lv, et al.*2026*
51. **[MTP-RL: Acceleration of Reinforcement Learning Rollouts with Policy-Aligned Multi-Token Prediction](https://md.research.elamur.ai/free/en/papers/wang-2026-mtp-rl-acceleration-reinforcement-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ke Wang, Aohan Zeng, Zhengxiao Du, et al.*2026*
52. **[PlotGen-Bench: Evaluating VLMs on Generating Visualization Code from Diverse Plots across Multiple Libraries](https://md.research.elamur.ai/free/en/papers/zhao-2026-plotgen-bench-evaluating-vlms-generating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yi Zhao, Zhen Yang, Shuaiqi Duan, et al.*2026*
53. **[SAE ↗](https://doi.org/10.1145/2487575.2487720) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Yang Yang et al.*2013*