Jiliang Tang
Jiliang Tang has 6 papers in our library, in 2020–2026, most of them on Dialogue systems, Evaluation & benchmarks, Information retrieval & search; often with Shenglai Zeng, Haochen Liu, Hui Liu.
OpenAlex · ORCID · Wikidata · h-index 71 · 393 works · 27,313 citations OpenAlex, 2026-10-14
📄 6 works in our library · 🔗 Cited 311 times in our library · 7 more in our library without a page yet · ⭐ Paper Stars ranking: #6329
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 6 worksArtificial Intelligence · 6 worksArts and Humanities · 5 worksLanguage and Linguistics · 5 worksSafety Research · 2 worksSocial Sciences · 2 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work
🧭 Topics 5Research subjects and languages the work is about.Bias, fairness & safety · 1 workDialogue systems · 1 workInformation retrieval & search · 1 workEnglish · 1 workEvaluation & benchmarks · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Chatbots · 1 work
Works by year
2020s
Papers
- Does Gender Matter? Towards Fairness in Dialogue Systems (2020 · 133 citations)
Dialogue systems learn from real human conversations, so they can pick up social prejudices. Their fairness had received little systematic study. The authors examine whether popular dialogue models treat genders (male vs. female) and races differently, with race represented as standard English vs. African American… - Unveiling Privacy Risks in LLM Agent Memory (2025 · 33 citations)
LLM agents often keep a long-term memory of earlier user queries paired with the solutions they produced, and they reuse these records as in-context examples. - Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective (2025 · 14 citations)
RAG systems often fail when the retrieved passages are misleading (for example, after PoisonedRAG-style injection of false answers) or only loosely related to the question. LLMs tend to trust such context over what they already know. The authors frame knowledge checking as four tasks: - How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior (2026 · 13 citations)
LLM agents often keep an episodic memory of earlier task queries and their execution trajectories, then retrieve similar records as in-context demonstrations. - Empowering GraphRAG with Knowledge Filtering and Integration (2025 · 12 citations)
Graph retrieval-augmented generation (GraphRAG) supplements LLMs with facts from knowledge graphs, but the authors show it has two weaknesses. - Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference (2022 · 6 citations)
NLP models trained mostly on Standard American English (SAE) often misjudge text in African American English (AAE).
All works
- Content-Aware Point of Interest Recommendation on Location-Based Social Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHuiji Gao et al.2015 · 308 citations
- Streaming Graph Neural Networks ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetYao Ma et al.2020 · 216 citations
- Learning Hierarchical Discourse-level Structure for Fake News Detection ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetHamid Karimi, Jiliang Tang2019 · 162 citations
- The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetShenglai Zeng et al.2024 · 146 citations
- Does Gender Matter? Towards Fairness in Dialogue SystemsInternational Conference on Computational Linguistics (COLING)Haochen Liu, Jamell Dacon, Wenqi Fan, et al.2020 · 133 citations
- Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetHaochen Liu et al.2020 · 86 citations
- Automated Embedding Size Search in Deep Recommender Systems ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetHaochen Liu et al.2020 · 79 citations
- A Robust Semantics-based Watermark for Large Language Model against Paraphrasing ↗Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yetJie Ren et al.2024 · 46 citations
- Unveiling Privacy Risks in LLM Agent MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Bo Wang, Weiyi He, Shenglai Zeng, et al.2025 · 33 citations
- Towards Knowledge Checking in Retrieval-augmented Generation: A Representation PerspectiveConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shenglai Zeng, Jiankun Zhang, Bingheng Li, et al.2025 · 14 citations
- How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following BehaviorAnnual Meeting of the Association for Computational Linguistics (ACL)Zidi Xiong, Yuping Lin, Wenya Xie, et al.2026 · 13 citations
- Empowering GraphRAG with Knowledge Filtering and IntegrationConference on Empirical Methods in Natural Language Processing (EMNLP)Kai Guo, Harry Shomer, Shenglai Zeng, et al.2025 · 12 citations
- Evaluating and Mitigating Inherent Linguistic Bias of African American English through InferenceInternational Conference on Computational Linguistics (COLING)Jamell Dacon, Haochen Liu, Jiliang Tang2022 · 6 citations
Co-authors here
- Shenglai Zeng ×3
- Haochen Liu ×2
- Hui Liu ×2
- Jamell Dacon ×2
- Pengfei He ×2
- Yue Xing ×2
- Yuping Lin ×2
- Zhen Xiang ×2
- Bo Wang
- Dante Everaert
- Hanqing Lu
- Haoyu Han
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026, ACL 2025
- International Conference on Computational Linguistics (COLING) ×2: COLING 2022, COLING 2020
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2025
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) ×2
- Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2025
- Findings of the Association for Computational Linguistics: ACL 2024
- Findings of the Association for Computational Linguistics: NAACL 2024
- Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- Proceedings of the AAAI Conference on Artificial Intelligence
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