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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.

6 papers in our library · 2020–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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…
  2. 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.
  3. 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:
  4. 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.
  5. 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.
  6. 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

13 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them.

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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

 Co-authors here

12 of 24 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 311 times (of the 149,439 papers whose bibliographies we read); 84 citing papers with a page here →.

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