3 papers
cs.CL2025
Unifying Inference-Time Planning Language Generation
Prabhu Prakash Kagitha, Bo Sun, Ishan Desai +5
A line of work in planning uses LLM not to generate a plan, but to generate a formal representation in some planning language, which can be input into a symbolic solver to determin…
cs.CL2024
On the Limit of Language Models as Planning Formalizers
Cassie Huang, Li Zhang
Large Language Models have been found to create plans that are neither executable nor verifiable in grounded environments. An emerging line of work demonstrates success in using th…
cs.CL2021
Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models
Wenqian Ye, Fei Xu, Yaojia Huang +2
Over the last few years, Contextualized Pre-trained Neural Language Models, such as BERT, GPT, have shown significant gains in various NLP tasks. To enhance the robustness of exist…