Tim Althoff
16 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(14)
Core AI
(14)
Machine Learning
(8)
Deep Learning
(7)
Natural Language Processing
(5)
Learning Types Β· Machine Learning
(5)
Application Areas
(4)
Learning Types Β· Deep Learning
(4)
Healthcare & Medicine
(3)
Clinical
(3)
Generation
(3)
Models
(3)
Data Science & Analytics
(2)
Applications
(2)
Core Methods
(2)
Keywords
large language model
(5)
mental health
(4)
time series analysis
(3)
benchmark evaluation
(2)
reinforcement learning
(2)
wearable sensor
(2)
text classification
(1)
question answering
(1)
domain generalization
(1)
conversational ai
(1)
probability distribution
(1)
masked language model
(1)
multimodal learning
(1)
bias detection
(1)
in-context learning
(1)
time series
(1)
evaluation framework
(1)
knowledge distillation
(1)
user evaluation
(1)
rationale extraction
(1)
Papers
Inferring Events from Time Series using Language Models
ACL 2026
Responsible Evaluation of AI for Mental Health
ACL 2026
Scaling Wearable Foundation Models
ICLR 2025
Substance over Style: Evaluating Proactive Conversational Coaching Agents
ACL 2025
Are Language Models Actually Useful for Time Series Forecasting?
NeurIPS 2024
BLADE: Benchmarking Language Model Agents for Data-Driven Science
EMNLP 2024
IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction
ACL 2024
Language Models Still Struggle to Zero-shot Reason about Time Series
EMNLP 2024
Position: A Roadmap to Pluralistic Alignment
ICML 2024
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning
EMNLP 2024
Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction
ACL 2023
Gendered Mental Health Stigma in Masked Language Models
EMNLP 2022
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization
NeurIPS 2022
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach (Extended Abstract)
IJCAI 2022
Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models
NAACL 2021
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support
EMNLP 2020