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Shaofei Cai

Shaofei Cai has 3 papers in our library, in 2023, most of them on Vision & language; often with Anji Liu, Xiaojian Ma, Yitao Liang.

3 papers in our library · 2023

OpenAlex · ORCID · h-index 8 · 33 works · 247 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 617 times in our library · ⭐ Paper Stars ranking: #6302

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. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 2The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 works

🧭 Topics 1Research subjects and languages the work is about.Vision & language · 1 work

 Works by year

2020s

 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. JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models (2023 · 47 citations)
    Agents in open worlds need to plan over long horizons, respond to what they observe, and keep improving as the range of possible tasks grows without limit.
  3. Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction (2023 · 18 citations)
    The paper tackles training a single goal-conditioned agent for many tasks in Minecraft. The authors identify two obstacles. First, the game's scenes are so varied that observations reveal little about which task is being pursued. Second, partial observability makes the dynamics non-stationary, so the agent cannot…

 Co-authors here

9 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 617 times (of the 149,439 papers whose bibliographies we read); 188 citing papers with a page here →.

Updated

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