AI
Socioduality: A Relational Process Framework for Human-AI Interaction
A new framework called socioduality is proposed to study human-AI interaction. It focuses on the pro...
AI
A Model-Internal Protocol for Assessing Multimodal Models as Integrated Systems
Researchers have proposed a new way to evaluate large vision-language models that can both generate ...
AI
Why Do AI Agents Break Rules? How Framing, Context, and Social Signals Shape Compliance
Researchers have found that AI agents can break rules due to how they are framed, the context in whi...
AI
When Is Shallow Enough? Adaptive Split Federated Learning with Client-Specific Sufficiency Estimation
Researchers propose a new approach to federated learning called Split Federated Learning with Client...
AI
Ask to Be Sure: Informative Interactions for Confident Multi-Turn LLM Recommendation
Researchers propose a new approach to improve the performance of conversational ...
AI
Compliance, Capability, and Conflict: Benchmarking Multimodal LLMs under System Messages
Researchers have created a benchmark called VSysBench to evaluate how well multi...
AI
When Irrelevant Text Matters: Affine Margin Shifts in Multimodal Large Language Models
Researchers have found that large language models can be biased by irrelevant te...
AI
NepOOC-M: Bilingual Nepali-English Benchmark and Comparative Analysis of Multimodal Architectures for OOC Detection
Researchers have created a benchmark for detecting out-of-context misinformation...