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Confidence Calibration

Mitigating Overconfidence in Large Language Models: A Behavioral Lens on Confidence Estimation and Calibration

Behavioral analysis and mitigation strategies for overconfidence in large language models.

Dec 1, 2024 • 1 min read

Characterizing LLM Abstention Behavior in Science QA with Context Perturbations featured image

Large Language Models

Characterizing LLM Abstention Behavior in Science QA with Context Perturbations

Characterizing LLM abstention behavior in science QA with context perturbations.

Oct 1, 2024 • 1 min read

Open-Weight Models

Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings

Demonstrating that open-weight models can match ChatGPT in low-resource, laboratory-scale AI deployments.

Jun 1, 2024 • 1 min read

Motion Generation

OmniMotionGPT: Animal Motion Generation with Limited Data

A generative model for animal motion synthesis under limited data constraints.

Mar 1, 2024 • 1 min read

CCQ: cross-class query network for partially labeled organ segmentation featured image

Medical Image Segmentation

CCQ: cross-class query network for partially labeled organ segmentation

Cross-class query network for partially labeled organ segmentation in medical images.

Feb 1, 2023 • 1 min read

ExpScore: Learning metrics for recommendation explanation featured image

Recommendation Systems

ExpScore: Learning metrics for recommendation explanation

Learning metrics for evaluating recommendation explanations.

Apr 1, 2022 • 1 min read