activity
20142026
most citedBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

565 citations · 2.8k across the 120 of their papers we have counts for

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Showing cs.HCShow all

6 papers · 1 filter

cs.HC2025

Social Human Robot Embodied Conversation (SHREC) Dataset: Benchmarking Foundational Models' Social Reasoning

Dong Won Lee, Yubin Kim, Denison Guvenoz +5

Our work focuses on the social reasoning capabilities of foundation models for real-world human-robot interactions. We introduce the Social Human Robot Embodied Conversation (SHREC…

cs.HC2025

LLAMADRS: Evaluating Open-Source LLMs on Real Clinical Interviews--To Reason or Not to Reason?

Gaoussou Youssouf Kebe, Jeffrey M. Girard, Einat Liebenthal +3

Large language models (LLMs) excel on many NLP benchmarks, but their behavior on real-world, semi-structured prediction remains underexplored. We present LlaMADRS, a benchmark for…

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…

cs.HC2023

Expanding the Role of Affective Phenomena in Multimodal Interaction Research

Leena Mathur, Maja J Matarić, Louis-Philippe Morency

In recent decades, the field of affective computing has made substantial progress in advancing the ability of AI systems to recognize and express affective phenomena, such as affec…

cs.HC2020

Toward Multimodal Modeling of Emotional Expressiveness

Victoria Lin, Jeffrey M. Girard, Michael A. Sayette +1

Emotional expressiveness captures the extent to which a person tends to outwardly display their emotions through behavior. Due to the close relationship between emotional expressiv…

cs.HC2018★ 4 cited

Multimodal Local-Global Ranking Fusion for Emotion Recognition

Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency

Emotion recognition is a core research area at the intersection of artificial intelligence and human communication analysis. It is a significant technical challenge since humans di…