activity
20232026
most citedTowards Accurate Differential Diagnosis with Large Language Models

63 citations · 63 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Tasks

Muyan Weng, Defu Cao, Wei Yang +2

It is unclear whether strong forecasting performance reflects genuine temporal understanding or the ability to reason under contextual and event-driven conditions. We introduce Tem…

cs.CL2025

Advancing Conversational Diagnostic AI with Multimodal Reasoning

Khaled Saab, Jan Freyberg, Chunjong Park +33

Large Language Models (LLMs) have demonstrated great potential for conducting diagnostic conversations but evaluation has been largely limited to language-only interactions, deviat…

cs.RO2024

MOSAIC: Modular Foundation Models for Assistive and Interactive Cooking

Huaxiaoyue Wang, Kushal Kedia, Juntao Ren +14

We present MOSAIC, a modular architecture for coordinating multiple robots to (a) interact with users using natural language and (b) manipulate an open vocabulary of everyday objec…

cs.CY2023★ 63 cited

Towards Accurate Differential Diagnosis with Large Language Models

Daniel McDuff, Mike Schaekermann, Tao Tu +25

An accurate differential diagnosis (DDx) is a cornerstone of medical care, often reached through an iterative process of interpretation that combines clinical history, physical exa…

cs.LG2023

Attribute Diversity Determines the Systematicity Gap in VQA

Ian Berlot-Attwell, Kumar Krishna Agrawal, A. Michael Carrell +2

Although modern neural networks often generalize to new combinations of familiar concepts, the conditions that enable such compositionality have long been an open question. In this…