Search Results for author: Fangjun Li

Found 3 papers, 1 papers with code

Exploring the GLIDE model for Human Action Effect Prediction

no code implementations PVLAM (LREC) 2022 Fangjun Li, David C. Hogg, Anthony G. Cohn

GLIDE is a generative neural network that can synthesize (inpaint) masked areas of an image, conditioned on a short piece of text.

Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark

1 code implementation8 Jan 2024 Fangjun Li, David C. Hogg, Anthony G. Cohn

We analyze GPT's spatial reasoning performance on the rectified benchmark, identifying proficiency in mapping natural language text to spatial relations but limitations in multi-hop reasoning.

Relation Mapping Text Generation

Exploring the GLIDE model for Human Action-effect Prediction

no code implementations1 Aug 2022 Fangjun Li, David C. Hogg, Anthony G. Cohn

GLIDE is a generative neural network that can synthesize (inpaint) masked areas of an image, conditioned on a short piece of text.

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