26 citations · 50 across the 4 of their papers we have counts for
5 papers
DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal
Vaibhav Aggarwal, Ojasv Kamal, Abhinav Japesh +2
Large Language Models (LLMs) have revolutionized various domains, including natural language processing, data analysis, and software development, by enabling automation. In softwar…
CLadder: Assessing Causal Reasoning in Language Models
Zhijing Jin, Yuen Chen, Felix Leeb +8
The ability to perform causal reasoning is widely considered a core feature of intelligence. In this work, we investigate whether large language models (LLMs) can coherently reason…
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion
Flavio Schneider, Ojasv Kamal, Zhijing Jin +1
Recent years have seen the rapid development of large generative models for text; however, much less research has explored the connection between text and another "language" of com…
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment
Zhijing Jin, Sydney Levine, Fernando Gonzalez +6
AI systems are becoming increasingly intertwined with human life. In order to effectively collaborate with humans and ensure safety, AI systems need to be able to understand, inter…
Hostility Detection in Hindi leveraging Pre-Trained Language Models
Ojasv Kamal, Adarsh Kumar, Tejas Vaidhya
Hostile content on social platforms is ever increasing. This has led to the need for proper detection of hostile posts so that appropriate action can be taken to tackle them. Thoug…