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Anji Liu

Anji Liu has 2 papers in our library, in 2023–2024, most of them on Reasoning, Information retrieval & search; often with Xiaojian Ma, Yitao Liang, Zihao Wang.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 8 · 44 works · 252 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 213 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6256

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

🎓National University of SingaporeSingapore · Singapore2023–2026 · 3 papersEmployment since 2025 · Assistant Professor, Computer Sciencecurrent🎓University of California, Los AngelesLos Angeles · United States2018–2025 · 27 papersEducation since 2025 · PhD, Computer Science🎓University of StuttgartStuttgart · Germany2024–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Information retrieval & search · 1 workReasoning · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents (2023 · 174 citations)
    The paper tackles task planning for embodied agents in open-world settings such as Minecraft. Two problems make LLM planners fail there. Tasks need long chains of dependent sub-goals, so a plan written in one pass is often wrong. Plans also ignore which of several alternative sub-goals the agent can reach most easily…
  2. RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation (2024 · 46 citations)
    Large language models that reason step by step often produce intermediate thoughts containing invented facts.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task AgentsarXiv:2302.01560Zihao Wang, Shaofei Cai, Guanzhou Chen, et al.2023 · 174 citations
  2. JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models ↗arXiv:2311.05997 · no summary yetZihao Wang et al.2023 · 47 citations
  3. RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon GenerationarXiv:2403.05313Zihao Wang, Anji Liu, Haowei Lin, et al.2024 · 46 citations
  4. Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction ↗arXiv:2301.10034 · no summary yetShaofei Cai et al.2023 · 18 citations

 Co-authors here

4 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 213 times (of the 149,439 papers whose bibliographies we read); 50 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/anji-liu/