Lin Guan

Lin Guan has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Karthik Valmeekam, Subbarao Kambhampati, Sarath Sreedharan.

2 papers in our library · 2023–2024

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

Fields, topics and concepts

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

The most cited first (OpenAlex and our library).

Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning (2023 · 115 citations)
The paper argues that LLMs should not act as planners themselves. Instead, they should build the world model that a classical planner then uses. The authors give GPT-4 a list of actions with short natural-language descriptions and have it write PDDL action models, meaning predicates, preconditions and effects. Early…
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks (2024 · 88 citations)
This position paper responds to two opposing errors in the debate on LLMs and planning. One overstates their reasoning ability. The other treats them as mere text-to-symbol converters for classical solvers. The authors review evidence, much of it from their own group, that autoregressive LLMs cannot reliably produce…

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

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

Papers of our library cite their works 140 times (of the 149,439 papers whose bibliographies we read); 32 citing papers with a page here →.

Updated 2 November 2026