6 papers
What Am I Missing? Question-Answering as Hidden State Probing
Chu Fei Luo, Samuel Dahan, Xiaodan Zhu
Test-time reasoning has become a significant field of study since the introduction of chain-of-thought reasoning in large language models (LLMs). However, the mechanisms of this re…
CoDial: Interpretable Task-Oriented Dialogue Systems Through Dialogue Flow Alignment
Radin Shayanfar, Chu Fei Luo, Rohan Bhambhoria +2
Building Task-Oriented Dialogue (TOD) systems that generalize across different tasks remains a challenging problem. Data-driven approaches often struggle to transfer effectively to…
Towards Low-Resource Alignment to Diverse Perspectives with Sparse Feedback
Chu Fei Luo, Samuel Dahan, Xiaodan Zhu
As language models have a greater impact on society, it is important to ensure they are aligned to a diverse range of perspectives and are able to reflect nuance in human values. H…
Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation
Chu Fei Luo, Radin Shayanfar, Rohan Bhambhoria +2
Misinformation, defined as false or inaccurate information, can result in significant societal harm when it is spread with malicious or even innocuous intent. The rapid online info…
Experimenting with Legal AI Solutions: The Case of Question-Answering for Access to Justice
Jonathan Li, Rohan Bhambhoria, Samuel Dahan +1
Generative AI models, such as the GPT and Llama series, have significant potential to assist laypeople in answering legal questions. However, little prior work focuses on the data…
Evaluating AI for Law: Bridging the Gap with Open-Source Solutions
Rohan Bhambhoria, Samuel Dahan, Jonathan Li +1
This study evaluates the performance of general-purpose AI, like ChatGPT, in legal question-answering tasks, highlighting significant risks to legal professionals and clients. It s…