---
title: "Ji-Rong Wen — all works — Elamur Research"
description: "All 43 works of Ji-Rong Wen 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/ji-rong-wen/works/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ji-rong-wen/works/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/) / all works

# Ji-Rong Wen — all works

43 works · [← Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/)

1. **[Evaluating Object Hallucination in Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/li-2023-evaluating-object-hallucination-large-vision/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yifan Li, Yifan Du, Kun Zhou, et al.*2023 · 1,004 citations*
2. **[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*
3. **[StructGPT: A General Framework for Large Language Model to Reason over Structured Data ↗](https://arxiv.org/abs/2305.09645) arXiv:2305.09645 · no summary yet**Jinhao Jiang et al.*2023 · 412 citations*
4. **[Large Language Models for Information Retrieval: A Survey](https://md.research.elamur.ai/free/en/papers/zhu-2023-large-language-models-information-retrieval/) [ACM Transactions on Information Systems](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/)**Yutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen*2023 · 339 citations*
5. **[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*
6. **[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*
7. **[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*
8. **[Tool Learning with Large Language Models: A Survey ↗](https://doi.org/10.1007/s11704-024-40678-2) arXiv:2405.17935 · no summary yet**Changle Qu et al.*2024 · 195 citations*
9. **[Large Language Diffusion Models](https://md.research.elamur.ai/free/en/papers/nie-2025-large-language-diffusion-models/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shen Nie, Fengqi Zhu, Zebin You, et al.*2025 · 178 citations*
10. **[Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models](https://md.research.elamur.ai/free/en/papers/tang-2024-language-specific-neurons-key-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyi Tang, Wenyang Luo, Haoyang Huang, et al.*2024 · 156 citations*
11. **[The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-dawn-after-dark-empirical-study/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junyi Li, Jie Chen, Ruiyang Ren, et al.*2024 · 153 citations*
12. **[Debiased Contrastive Learning of Unsupervised Sentence Representations ↗](https://aclanthology.org/2022.acl-long.423/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Kun Zhou et al.*2022 · 150 citations*
13. **[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*
14. [**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/)
15. **[MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation](https://md.research.elamur.ai/free/en/papers/tu-2022-misc-mixed-strategy-aware-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Quan Tu, Yanran Li, Jianwei Cui, et al.*2022 · 141 citations*
16. **[2D Conditional Random Fields for Web information extraction ↗](https://doi.org/10.1145/1102351.1102483) International Conference on Machine Learning · no summary yet**Jun Zhu et al.*2005 · 133 citations*
17. **[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*
18. **[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*
19. **[SetRank ↗](https://doi.org/10.1145/3397271.3401104) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Liang Pang et al.*2020 · 111 citations*
20. **[Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models ↗](https://aclanthology.org/2023.emnlp-main.621/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xiaolei Wang et al.*2023 · 105 citations*
21. **[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*
22. **[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*
23. **[WebThinker: Empowering Large Reasoning Models with Deep Research Capability ↗](https://arxiv.org/abs/2504.21776) arXiv:2504.21776 · no summary yet**Xiaoxi Li et al.*2025 · 72 citations*
24. **[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*
25. **[Efficiently Answering Technical Questions — A Knowledge Graph Approach ↗](https://doi.org/10.1609/aaai.v31i1.10956) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Shuo Yang et al.*2017 · 65 citations*
26. **[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*
27. **[Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback ↗](https://doi.org/10.1145/3404835.3462892) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Xiao Zhang et al.*2021 · 60 citations*
28. **[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*
29. **[Encoding History with Context-aware Representation Learning for Personalized Search ↗](https://doi.org/10.1145/3397271.3401175) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Yujia Zhou, Zhicheng Dou, Ji-Rong Wen*2020 · 59 citations*
30. **[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*
31. **[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*
32. **[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*
33. **[LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models](https://md.research.elamur.ai/free/en/papers/zhu-2026-llada-1-5-variance-reduced/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fengqi Zhu, Rongzhen Wang, Shen Nie, et al.*2026 · 49 citations*
34. **[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*
35. **[Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/sun-2026-challenging-boundaries-reasoning-olympiad-level/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoxiang Sun, Yingqian Min, Zhipeng Chen, et al.*2026 · 25 citations*
36. **[OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain](https://md.research.elamur.ai/free/en/papers/wang-2025-omnieval-omnidirectional-automatic-rag-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shuting Wang, Jiejun Tan, Zhicheng Dou, et al.*2025 · 24 citations*
37. **[A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech](https://md.research.elamur.ai/free/en/papers/yang-2021-joint-model-dropped-pronoun-recovery/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingxuan Yang, Kerui Xu, Jun Xu, et al.*2021 · 16 citations*
38. **[RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/dong-2025-rag-critic-leveraging-automated-critic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanting Dong, Jiajie Jin, Xiaoxi Li, et al.*2025 · 14 citations*
39. **[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*
40. **[Progressive Multimodal Reasoning via Active Retrieval](https://md.research.elamur.ai/free/en/papers/dong-2025-progressive-multimodal-reasoning-active-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanting Dong, Chenghao Zhang, Mengjie Deng, et al.*2025 · 10 citations*
41. **[ICLEval: Evaluating In-Context Learning Ability of Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-icleval-evaluating-context-learning-ability/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Wentong Chen, Yankai Lin, ZhenHao Zhou, et al.*2025 · 7 citations*
42. **[EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis](https://md.research.elamur.ai/free/en/papers/song-2026-envscaler-scaling-tool-interactive-environments/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaoshuai Song, Haofei Chang, Guanting Dong, et al.*2026 · 5 citations*
43. **[Web Sitemap Knowledge Can Enhance Autonomous Browsing ↗](https://aclanthology.org/2026.findings-acl.1465/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Yuyao Zhang et al.*2026*