activity
20182026
most citedBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

565 citations · 1.7k across the 68 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.LG2024★ 5 cited

IoT-LM: Large Multisensory Language Models for the Internet of Things

Shentong Mo, Russ Salakhutdinov, Louis-Philippe Morency +1

The Internet of Things (IoT) network integrating billions of smart physical devices embedded with sensors, software, and communication technologies is a critical and rapidly expand…

cs.LG2024★ 3 cited

HEMM: Holistic Evaluation of Multimodal Foundation Models

Paul Pu Liang, Akshay Goindani, Talha Chafekar +4

Multimodal foundation models that can holistically process text alongside images, video, audio, and other sensory modalities are increasingly used in a variety of real-world applic…

cs.LG2024★ 1 cited

Foundations of Multisensory Artificial Intelligence

Paul Pu Liang

Building multisensory AI systems that learn from multiple sensory inputs such as text, speech, video, real-world sensors, wearable devices, and medical data holds great promise for…

cs.CL2024

Semantically Corrected Amharic Automatic Speech Recognition

Samuael Adnew, Paul Pu Liang

Automatic Speech Recognition (ASR) can play a crucial role in enhancing the accessibility of spoken languages worldwide. In this paper, we build a set of ASR tools for Amharic, a l…

cs.HC2024★ 2 cited

Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions

Leena Mathur, Paul Pu Liang, Louis-Philippe Morency

Building socially-intelligent AI agents (Social-AI) is a multidisciplinary, multimodal research goal that involves creating agents that can sense, perceive, reason about, learn fro…