---
title: "Xiang Ren — all works — Elamur Research"
description: "All 43 works of Xiang Ren 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/xiang-ren/works/"
---
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# Xiang Ren — all works

43 works · [← Xiang Ren](https://md.research.elamur.ai/free/en/authors/xiang-ren/)

1. **[Hierarchical graph representation learning with differentiable pooling ↗](https://openalex.org/W2811124557) neural information processing systems · no summary yet**Zhitao Ying et al.*2018 · 865 citations*
2. **[KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning ↗](https://aclanthology.org/D19-1282/) 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**Bill Yuchen Lin et al.*2019 · 649 citations*
3. **[GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models ↗](https://arxiv.org/abs/1802.08773) arXiv (Cornell University) · no summary yet**Jiaxuan You et al.*2018 · 490 citations*
4. **[Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs ↗](https://aclanthology.org/2020.emnlp-main.541/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Woojeong Jin et al.*2020 · 448 citations*
5. **[CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning ↗](https://aclanthology.org/2020.findings-emnlp.165/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Bill Yuchen Lin et al.*2020 · 437 citations*
6. **[Empower Sequence Labeling with Task-Aware Neural Language Model](https://md.research.elamur.ai/free/en/papers/liu-2017-empower-sequence-labeling-task-aware/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Liyuan Liu, Jingbo Shang, Frank F. Xu, et al.*2017 · 425 citations*
7. **[LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion](https://md.research.elamur.ai/free/en/papers/jiang-2023-llm-blender-ensembling-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dongfu Jiang, Xiang Ren, Bill Yuchen Lin*2023 · 321 citations*
8. **[Learning Named Entity Tagger using Domain-Specific Dictionary](https://md.research.elamur.ai/free/en/papers/shang-2018-learning-named-entity-tagger-domain/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jingbo Shang, Liyuan Liu, Xiaotao Gu, et al.*2018 · 302 citations*
9. **[Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering](https://md.research.elamur.ai/free/en/papers/feng-2020-scalable-multi-hop-relational-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, et al.*2020 · 300 citations*
10. [**WildChat: 1M ChatGPT Interaction Logs in the Wild arXiv:2405.01470**Wenting Zhao, Xiang Ren, Jack Hessel, et al.*2024 · 239 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2024-wildchat-1m-chatgpt-interaction-logs/)
11. **[Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models](https://md.research.elamur.ai/free/en/papers/lin-2020-birds-have-four-legs-numersense/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, et al.*2020 · 218 citations*
12. **[CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP ↗](https://arxiv.org/abs/2104.08835) arXiv:2104.08835 · no summary yet**Qinyuan Ye, Bill Yuchen Lin, Xiang Ren*2021 · 210 citations*
13. **[Contextualizing Hate Speech Classifiers with Post-hoc Explanation](https://md.research.elamur.ai/free/en/papers/kennedy-2020-contextualizing-hate-speech-classifiers-post/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, et al.*2020 · 205 citations*
14. **[AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding ↗](https://aclanthology.org/D16-1144/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xiang Ren et al.*2016 · 184 citations*
15. **[Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation ↗](https://aclanthology.org/2021.emnlp-main.132/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Mozhdeh Gheini, Xiang Ren, Jonathan May*2021 · 179 citations*
16. **[A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models ↗](https://aclanthology.org/2022.acl-long.197/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Woojeong Jin et al.*2022 · 149 citations*
17. **[SCOTT: Self-Consistent Chain-of-Thought Distillation](https://md.research.elamur.ai/free/en/papers/wang-2023-scott-self-consistent-chain-thought/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peifeng Wang, Zhengyang Wang, Zheng Li, et al.*2023 · 146 citations*
18. **[Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step](https://md.research.elamur.ai/free/en/papers/li-2023-symbolic-chain-thought-distillation-small/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.*2023 · 140 citations*
19. **[FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks ↗](https://aclanthology.org/2022.findings-naacl.13/) Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yet**Bill Yuchen Lin et al.*2022 · 135 citations*
20. **[Hierarchical Text Classification with Reinforced Label Assignment ↗](https://aclanthology.org/D19-1042/) 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**Yuning Mao et al.*2019 · 134 citations*
21. **[HMEAE: Hierarchical Modular Event Argument Extraction ↗](https://aclanthology.org/D19-1584/) 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**Xiaozhi Wang et al.*2019 · 132 citations*
22. **[KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/yu-2022-kg-fid-infusing-knowledge-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Donghan Yu, Chenguang Zhu, Yuwei Fang, et al.*2022 · 116 citations*
23. **[TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition ↗](https://aclanthology.org/2020.acl-main.752/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Bill Yuchen Lin et al.*2020 · 111 citations*
24. **[SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks](https://md.research.elamur.ai/free/en/papers/lin-2023-swiftsage-generative-agent-fast-slow/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Bill Yuchen Lin, Yicheng Fu, Karina Yang, et al.*2023 · 110 citations*
25. **[Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/lin-2021-common-sense-beyond-english-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, et al.*2021 · 107 citations*
26. **[Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER ↗](https://aclanthology.org/2022.acl-long.192/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Dong-Ho Lee et al.*2022 · 106 citations*
27. **[Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering ↗](https://aclanthology.org/2020.findings-emnlp.369/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Peifeng Wang et al.*2020 · 104 citations*
28. **[Dataless Knowledge Fusion by Merging Weights of Language Models ↗](https://arxiv.org/abs/2212.09849) arXiv:2212.09849 · no summary yet**Xisen Jin et al.*2022 · 101 citations*
29. **[Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach ↗](https://aclanthology.org/D17-1005/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Liyuan Liu et al.*2017 · 88 citations*
30. **[Learning Dynamic Context Augmentation for Global Entity Linking](https://md.research.elamur.ai/free/en/papers/yang-2019-learning-dynamic-context-augmentation-global/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiyuan Yang, Xiaotao Gu, Sheng Lin, et al.*2019 · 85 citations*
31. **[TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names ↗](https://aclanthology.org/2021.naacl-main.335/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Jiaming Shen et al.*2021 · 80 citations*
32. **[Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources ↗](https://aclanthology.org/2021.emnlp-main.410/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ninareh Mehrabi et al.*2021 · 65 citations*
33. **[Self-Discover: Large Language Models Self-Compose Reasoning Structures ↗](https://arxiv.org/abs/2402.03620) arXiv:2402.03620 · no summary yet**Pei Zhou et al.*2024 · 61 citations*
34. **[Collaborative Policy Learning for Open Knowledge Graph Reasoning ↗](https://aclanthology.org/D19-1269/) 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**Cong Fu et al.*2019 · 60 citations*
35. **[Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning ↗](https://aclanthology.org/2020.emnlp-main.688/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Deren Lei et al.*2020 · 58 citations*
36. [**CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting arXiv:2404.10199**Huihan Li, Liwei Jiang, Jena D. Hwang, et al.*2024 · 40 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-culture-gen-revealing-global-cultural/)
37. [**How FaR Are Large Language Models From Agents with Theory-of-Mind? arXiv:2310.03051**Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, et al.*2023 · 40 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-far-large-language-models-agents/)
38. **[ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning ↗](https://arxiv.org/abs/2012.15283) arXiv:2012.15283 · no summary yet**Rujun Han, Xiang Ren, Nanyun Peng*2020 · 39 citations*
39. **[Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality](https://md.research.elamur.ai/free/en/papers/zhou-2022-reflect-not-reflex-inference-based/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Pei Zhou, Hyundong Cho, Pegah Jandaghi, et al.*2022 · 34 citations*
40. [**PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning arXiv:2305.19472**Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, et al.*2023 · 25 citations*](https://md.research.elamur.ai/free/en/papers/brahman-2023-plasma-making-small-language-models/)
41. **[Hybrid forecasting of geopolitical events† ↗](https://doi.org/10.1002/aaai.12085) AI Magazine · no summary yet**Daniel M. Benjamin et al.*2023 · 18 citations*
42. **[Tailoring Self-Rationalizers with Multi-Reward Distillation](https://md.research.elamur.ai/free/en/papers/ramnath-2023-tailoring-self-rationalizers-multi-reward/) [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)**Sahana Ramnath, Brihi Joshi, Skyler Hallinan, et al.*2023 · 14 citations*
43. **[DRInQ: Evaluating Conversational Implicature with Controlled Context Variation](https://md.research.elamur.ai/free/en/papers/arai-2026-drinq-evaluating-conversational-implicature-controlled/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hirona Jacqueline Arai, Xiang Ren*2026*
