activity
20222026
most citedOmniXAI: A Library for Explainable AI

23 citations · 29 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2026

From Sound to Symptom: Real-Time Respiratory Signal Understanding for Conversational Healthcare Agents

Tanmay Laud, Herprit Mahal, Subhabrata Mukherjee

Cough events during live spoken conversations carry clinically valuable respiratory signals, yet existing dialogue systems treat them as acoustic noise to be discarded. We present…

cs.CR2024

RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking

Yifan Jiang, Kriti Aggarwal, Tanmay Laud +3

The rapid progress of Large Language Models (LLMs) has opened up new opportunities across various domains and applications; yet it also presents challenges related to potential mis…

cs.CL2024★ 1 cited

Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code

Taishi Nakamura, Mayank Mishra, Simone Tedeschi +42

Pretrained language models are an integral part of AI applications, but their high computational cost for training limits accessibility. Initiatives such as Bloom and StarCoder aim…

cs.IR2024

RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface

Zeyuan Zhang, Tanmay Laud, Zihang He +5

We present a new Python toolkit called RecWizard for Conversational Recommender Systems (CRS). RecWizard offers support for development of models and interactive user interface, dr…

cs.CL2023★ 5 cited

Towards Answering Climate Questionnaires from Unstructured Climate Reports

Daniel Spokoyny, Tanmay Laud, Tom Corringham +1

The topic of Climate Change (CC) has received limited attention in NLP despite its urgency. Activists and policymakers need NLP tools to effectively process the vast and rapidly gr…

cs.CL2022

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

BigScience Workshop, :, Teven Le Scao +391

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…

cs.LG2022★ 23 cited

OmniXAI: A Library for Explainable AI

Wenzhuo Yang, Hung Le, Tanmay Laud +2

We introduce OmniXAI (short for Omni eXplainable AI), an open-source Python library of eXplainable AI (XAI), which offers omni-way explainable AI capabilities and various interpret…