← Search

Pradyumna Tambwekar

4 accepted papers

2025

Generating CAD Code with Vision-Language Models for 3D Designs

ICLR 2025poster

Generative AI has transformed the fields of Design and Manufacturing by providing efficient and automated methods for generating and modifying 3D objects. One approach involves using Large Language Models (LLMs) to generate Computer- Aided Design (CAD) scripting code, which can then be executed to r…

Cited by 4SourcePDFScholar
2023

A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting

EMNLP 2023long findings

Many real-world tasks involve a mixed-initiative setup, wherein humans and AI systems collaboratively perform a task. While significant work has been conducted towards enabling humans to specify, through language, exactly how an agent should complete a task (i.e., low-level specification), prior wor…

Cited by 0SourcecodeScholar
2023

Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees

RA-L 2023

Human-AI policy specification is a novel procedure we define in which humans can collaboratively warm-start a robot's reinforcement learning policy. This procedure is comprised of two steps; (1) Policy Specification, i.e. humans specifying the behavior they would like their companion robot to accomp

Cited by 11SourcecodeScholar
2021

Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers

NAACL 2021long

The ease of access to pre-trained transformers has enabled developers to leverage large-scale language models to build exciting applications for their users. While such pre-trained models offer convenient starting points for researchers and developers, there is little consideration for the societal…

Cited by 78SourcePDFScholar