Large Language Models
Large decoder-only language models (LLMs) are the state-of-the-art models on most of today’s NLP tasks and benchmarks. Yet, the …
We study the use of large language model-based agents for interacting with software via web browsers. Unlike prior work, we focus on …
Large language models (LLM) have achieved remarkable success in natural language generation but lesser focus has been given to their …
Equivariant networks are specifically designed to ensure consistent behavior with respect to a set of input transformations, leading to …
A common and fundamental limitation of Generative AI (GenAI) is its propensity to hallucinate. While large language models (LLM) have …
With the widespread proliferation of AI systems, trust in AI is an important and timely topic to navigate. Researchers so far have …
In today’s digitally driven world, dialogue systems play a pivotal role in enhancing user interactions, from customer service to …
In order to safely deploy Large Language Models (LLMs), they must be capable of dynamically adapting their behavior based on their …
We study the use of large language model-based agents for interacting with software via web browsers. Unlike prior work, we focus on …
In this work, we propose a causal representation learning framework for learning disentangled and intervenable high-level explanations …