---
title: "Wayne Xin Zhao — all works — Elamur Research"
description: "All 34 works of Wayne Xin Zhao 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/wayne-xin-zhao/works/"
---
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# Wayne Xin Zhao — all works

34 works · [← Wayne Xin Zhao](https://md.research.elamur.ai/free/en/authors/wayne-xin-zhao/)

1. **[A Survey of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Wayne Xin Zhao, Kun Zhou, Junyi Li, et al.*2023 · 2,875 citations*
2. **[A Survey on Large Language Model based Autonomous Agents](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-large-language-model-based/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Lei Wang, Chen Ma, Xueyang Feng, et al.*2023 · 2,284 citations*
3. **[HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2023-halueval-large-scale-hallucination-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Junyi Li, Xiaoxue Cheng, Wayne Xin Zhao, et al.*2023 · 651 citations*
4. **[PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction ↗](https://doi.org/10.1609/aaai.v37i4.25556) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Jiawei Jiang et al.*2023 · 639 citations*
5. **[RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/qu-2021-rocketqa-optimized-training-approach-dense/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yingqi Qu, Yuchen Ding, Jing Liu, et al.*2021 · 603 citations*
6. **[Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network](https://md.research.elamur.ai/free/en/papers/zhou-2018-multi-turn-response-selection-chatbots/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangyang Zhou, Lu Li, Daxiang Dong, et al.*2018 · 410 citations*
7. **[Large Language Models are Zero-Shot Rankers for Recommender Systems ↗](https://arxiv.org/abs/2305.08845) arXiv:2305.08845 · no summary yet**Yupeng Hou et al.*2023 · 394 citations*
8. **[RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking](https://md.research.elamur.ai/free/en/papers/ren-2021-rocketqav2-joint-training-method-dense/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ruiyang Ren, Yingqi Qu, Jing Liu, et al.*2021 · 256 citations*
9. **[Pre-Trained Language Models for Text Generation: A Survey ↗](https://doi.org/10.1145/3649449) ACM Computing Surveys · no summary yet**Junyi Li et al.*2024 · 243 citations*
10. [**Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting arXiv:2305.07004**Haoyang Huang, Tianyi Tang, Dongdong Zhang, et al.*2023 · 224 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-all-languages-created-equal-llms/)
11. **[Towards Topic-Guided Conversational Recommender System ↗](https://aclanthology.org/2020.coling-main.365/) Proceedings of the 28th International Conference on Computational Linguistics · no summary yet**Kun Zhou et al.*2020 · 201 citations*
12. **[Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation ↗](https://doi.org/10.1145/3404835.3462978) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Xinyan Fan et al.*2021 · 143 citations*
13. [**R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning arXiv:2503.05592**Huatong Song, Jinhao Jiang, Yingqian Min, et al.*2025 · 141 citations*](https://md.research.elamur.ai/free/en/papers/song-2025-r1-searcher-incentivizing-search/)
14. **[Counterfactual Data-Augmented Sequential Recommendation ↗](https://doi.org/10.1145/3404835.3462855) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Zhenlei Wang et al.*2021 · 129 citations*
15. **[KERL ↗](https://doi.org/10.1145/3397271.3401134) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Pengfei Wang et al.*2020 · 120 citations*
16. **[Dual Sparse Attention Network For Session-based Recommendation ↗](https://doi.org/10.1609/aaai.v35i5.16593) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Jiahao Yuan et al.*2021 · 118 citations*
17. **[Don't Make Your LLM an Evaluation Benchmark Cheater ↗](https://arxiv.org/abs/2311.01964) arXiv:2311.01964 · no summary yet**Kun Zhou et al.*2023 · 112 citations*
18. **[Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation](https://md.research.elamur.ai/free/en/papers/ren-2025-investigating-factual-knowledge-boundary-large/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Ruiyang Ren, Yuhao Wang, Yingqi Qu, et al.*2025 · 101 citations*
19. **[KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph](https://md.research.elamur.ai/free/en/papers/jiang-2025-kg-agent-efficient-autonomous-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, et al.*2025 · 78 citations*
20. **[Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems ↗](https://arxiv.org/abs/2412.09413) arXiv:2412.09413 · no summary yet**Yingqian Min et al.*2024 · 66 citations*
21. **[User Behavior Simulation with Large Language Model based Agents ↗](https://arxiv.org/abs/2306.02552) arXiv:2306.02552 · no summary yet**Lei Wang et al.*2023 · 64 citations*
22. **[Reasoning with Exploration: An Entropy Perspective ↗](https://arxiv.org/abs/2506.14758) arXiv:2506.14758 · no summary yet**Daixuan Cheng et al.*2025 · 63 citations*
23. **[BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models](https://md.research.elamur.ai/free/en/papers/dong-2024-bamboo-comprehensive-benchmark-evaluating-long/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Zican Dong, Tianyi Tang, Junyi Li, et al.*2024 · 59 citations*
24. **[REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2024-rear-relevance-aware-retrieval-augmented/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuhao Wang, Ruiyang Ren, Junyi Li, et al.*2024 · 55 citations*
25. **[Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network ↗](https://aclanthology.org/D19-1487/) 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**Shuqing Bian et al.*2019 · 54 citations*
26. **[Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models ↗](https://aclanthology.org/2021.findings-acl.136/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Junyi Li et al.*2021 · 53 citations*
27. **[RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement](https://md.research.elamur.ai/free/en/papers/jiang-2025-rag-star-enhancing-deliberative-reasoning/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jinhao Jiang, Jiayi Chen, Junyi Li, et al.*2025 · 31 citations*
28. **[Towards Effective and Efficient Continual Pre-training of Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-effective-efficient-continual-pre-training/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jie Chen, Zhipeng Chen, Jiapeng Wang, et al.*2025 · 29 citations*
29. **[JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models ↗](https://arxiv.org/abs/2405.14365) arXiv:2405.14365 · no summary yet**Kun Zhou et al.*2024 · 29 citations*
30. **[Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering](https://md.research.elamur.ai/free/en/papers/tang-2025-unlocking-general-long-chain-thought/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyu Tang, Xiaolei Wang, Zhihao Lv, et al.*2025 · 19 citations*
31. **[What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/du-2025-what-makes-good-visual-instructions/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yifan Du, Hangyu Guo, Kun Zhou, et al.*2025 · 13 citations*
32. **[Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation ↗](https://arxiv.org/abs/2308.00240) arXiv:2308.00240 · no summary yet**Geyang Guo et al.*2023 · 11 citations*
33. [**ReForm: Reflective Autoformalization with Prospective Bounded Sequence Optimization arXiv:2510.24592**Guoxin Chen, Jing Wu, Xinjie Chen, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-reform-reflective-autoformalization-prospective-bounded/)
34. **[CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability](https://md.research.elamur.ai/free/en/papers/peng-2025-cafe-retrieval-head-based-coarse/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Han Peng, Jinhao Jiang, Zican Dong, et al.*2025 · 4 citations*