2 citations · 2 across the 4 of their papers we have counts for
6 papers
Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models
Shachi H Kumar, Saurav Sahay, Sahisnu Mazumder +6
Large Language Models (LLMs) have excelled at language understanding and generating human-level text. However, even with supervised training and human alignment, these LLMs are sus…
Learning from Red Teaming: Gender Bias Provocation and Mitigation in Large Language Models
Hsuan Su, Cheng-Chu Cheng, Hua Farn +4
Recently, researchers have made considerable improvements in dialogue systems with the progress of large language models (LLMs) such as ChatGPT and GPT-4. These LLM-based chatbots…
Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home
Eda Okur, Roddy Fuentes Alba, Saurav Sahay +1
Enriching the quality of early childhood education with interactive math learning at home systems, empowered by recent advances in conversational AI technologies, is slowly becomin…
Sample Efficient Multimodal Semantic Augmentation for Incremental Summarization
Sumanta Bhattacharyya, Ramesh Manuvinakurike, Sahisnu Mazumder +1
In this work, we develop a prompting approach for incremental summarization of task videos. We develop a sample-efficient few-shot approach for extracting semantic concepts as an i…
Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue
Hsuan Su, Shachi H Kumar, Sahisnu Mazumder +7
With the power of large pretrained language models, various research works have integrated knowledge into dialogue systems. The traditional techniques treat knowledge as part of th…
Controllable Response Generation for Assistive Use-cases
Shachi H Kumar, Hsuan Su, Ramesh Manuvinakurike +2
Conversational agents have become an integral part of the general population for simple task enabling situations. However, these systems are yet to have any social impact on the di…