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Xiang Wang

Xiang Wang has 7 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Dialogue systems; often with An Zhang, Junfeng Fang, Sihang Li.

7 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 51 · 277 works · 18,639 citations OpenAlex, 2026-10-14

📄 7 works in our library · 🔗 Cited 111 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #6536

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. 43 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. Hello Again! LLM-powered Personalized Agent for Long-term Dialogue (2025 · 55 citations)
    Most open-domain chatbots are built for short, single-session exchanges. Real companionship, however, requires remembering past conversations and keeping track of who the user and the bot are. The authors present LD-Agent, a model-agnostic framework that splits long-term dialogue into three separately trainable…
  2. START: Self-taught Reasoner with Tools (2025 · 21 citations)
    Large Reasoning Models (LRMs) handle multi-step reasoning well but often make mistakes in exact arithmetic, enumeration and algorithmic steps.
  3. Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning (2025 · 18 citations)
    Retrieval-augmented LLMs trained with reinforcement learning tend to reason over whole retrieved documents, which are often noisy.
  4. Neuron-Level Sequential Editing for Large Language Models (2025 · 15 citations)
    Large language models store facts that go out of date, and full retraining is expensive. Parameter-editing methods such as ROME and MEMIT work well for a single round of edits. When edits are applied one after another, however, they tend to lose earlier edits ("model forgetting") and can collapse into incoherent…
  5. Route Sparse Autoencoder to Interpret Large Language Models (2025 · 11 citations)
    Sparse autoencoders (SAEs) are a popular way to break LLM activations into interpretable, mostly monosemantic features.
  6. SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs (2026 · 1 citation)
    Modern LLMs advertise very long context windows, yet they handle long sequences of numbers poorly. Tasks such as counting, filtering, or spotting trends need exact access to every value. The authors trace this failure to attention dispersion: as inputs grow, Softmax spreads attention over many similar numeric tokens…
  7. FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow Generation (2026)
    Automated generators of agentic workflows, such as ADAS and AFlow, usually improve one evolving workflow through small local edits or tree search.

All works

11 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

  1. LightGCN ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetXiangnan He et al.2020 · 4,432 citations
  2. Explainable Reasoning over Knowledge Graphs for Recommendation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetXiang Wang et al.2019 · 770 citations
  3. Smart Contract Vulnerability Detection using Graph Neural Network ↗International Joint Conference on Artificial Intelligence · no summary yetYuan Zhuang et al.2020 · 405 citations
  4. Micro Tells Macro ↗ACM International Conference on Multimedia (ACM MM) · no summary yetJingyuan Chen et al.2016 · 160 citations

 Co-authors here

12 of 30 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 111 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

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