From the 1 of 11 linked papers with an AI index.
11 papers
Why2Speak: Faithful Reasoning for Abstaining Action Policies
Shreya Mendi, Brinnae Bent
Many agentic systems must repeatedly choose between acting and abstaining, making faithful reasoning important for oversight: an explanation is useful only if it reflects the compu…
Aïra: Rethinking AI Research Assistants for Interdisciplinary Science
Diya Mirji, Tiffany Degbotse, Sharmil Nanjappa +9
The paper proposes aïra, an AI research assistant designed to support interdisciplinary teams by identifying disciplinary perspectives, translating terminology, highlighting assump…
Explainable AI for Biodiversity Monitoring and Ecological Image Analysis
Brinnae Bent, Holly R. Houliston, Jiayi Zhou +2
Artificial intelligence is transforming biodiversity monitoring by enabling automated analysis of ecological imagery collected from camera traps, drones, satellites, underwater pla…
It's the humans, not the data: Geopolitical bias in LLMs originates in post-training, amplified by the language of the prompt
Stuart Bladon, Brinnae Bent
It has generally been assumed that geopolitical bias in language models originates from the training data used during the pre-training phase. We tested seven open-weight LLM pairs…
Feature Visualization Recovers Known Cortical Selectivity from TRIBE v2
Stuart Bladon, Brinnae Bent
Brain encoder models predict cortical fMRI responses from the internal activations of pretrained vision and language networks, and are typically evaluated by held-out prediction ac…
When2Speak: A Dataset for Temporal Participation and Turn-Taking in Multi-Party Conversations for Large Language Models
Vihaan Nama, Shreya Mendi, Zian Ye +1
Large Language Models (LLMs) excel at generating contextually appropriate responses but remain poorly calibrated for multi-party conversations, where deciding when to speak is as c…