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Related Articles from SNS
Resonant Minds: Closed-Loop Social Avatars with Theory of Mind
new Abstract: Creating lifelike digital humans with genuine social intelligence requires unifying cognitive reasoning and multimodal generation within a coherent framework. Current approaches treat these as separate tasks: Large Language Models excel at dialogue but lack embodied expression, while diffusion-based talking head models achieve visual fidelity but ignore social cognition.
GroupToM-Bench: Benchmarking Group Theory of Mind and Nonlinear Social Emergence in MLLMs
Announce Type: new Abstract: True general intelligence requires not only a model of the physical world but also a social world model: the capacity to infer how individual mental states interact and crystallize into group-level outcomes. Despite notable progress in individual-level Theory of Mind (ToM) reasoning, existing multimodal large language models fail at this broader task.
Social Reasoning in Machines: Investigating Collective Truth-Seeking Dynamics in Large Language Model Debate
arXiv:2605.30391v1 Announce Type: new Abstract: Human reasoning has long been theorised to operate socially, not through isolated individual cognition, but through collective adversarial discourse, a framework known as the Argumentative Theory of Reasoning (ATR). Rather than relying on individual "intellectualist reasoners" as the primary vehicle for truth-seeking, ATR reconceptualises truth as an emergent property of social epistemology: the product of imperfect individual reasoning refined...
A Theory-Guided LLM Pedagogical Agent for STEM+C Scaffolding Without Over-Reliance
Announce Type: new Abstract: LLM pedagogical agents are proliferating, yet recent findings have raised questions about their adherence to established theories of learning and, by extension, their educational value. Concerns regarding cognitive offloading, over-reliance, and "gaming" behaviors persist and remain largely unaddressed. In response, we developed Copa, an agentic, multi-agent, multimodal Collaborative Peer Agent for STEM+C learning.
How climate shapes the meanings of words across languages
How climate shapes the meanings of words across languages Lisa Lock Scientific Editor Robert Egan Associate Editor When English speakers say "rose" and Chinese speakers say "玫瑰," do they mean the same thing? A Peking University team led by Professor Bi Yanchao explored this question using word embeddings from 53 languages, behavioral ratings from speakers of eight languages and exploratory multilingual brain imaging data. Published in Nature Communications, the study shows that word meanings...
Semantic knowledge guides innovation and drives cultural evolution
arXiv:2510.12837v4 Announce Type: replace Abstract: Cultural evolution allows ideas and technologies to accumulate across generations, reaching their most complex and open-ended form in humans. While social learning enables the transmission of such innovations, the cognitive processes that generate them remain poorly understood. Classical theories typically treat innovation as random variation, a simplification insufficient for explaining the complexity of human cultural evolution.
Where did language come from? Nobody really knows, but the theories are fascinating
Where did language come from? Nobody really knows, but the theories are fascinating Lisa Lock Scientific Editor Andrew Zinin Lead Editor Humans are the only species known to use fully symbolic language: a system capable of expressing abstract ideas, imaginary worlds and endless combinations of meaning. But how did we get there?
The Painful Truth About Long Covid
Nothing about long Covid adds up. Consider prevalence rates: How could one study find it affected 3.3 percent of the population of the UK but others an alarming 51 percent of South Americans and 86 percent of Egyptians? Or treatment methods: The BMJ’s systematic review of ways to treat long Covid lists two as supported by moderate evidence, cognitive behavioral therapy and physical exercise.
The people who actually want AI to replace humanity
“I want AI to be a tool that allows human flourishing!” exclaimed Brad Carson, a former member of Congress. “There is an option out there where AI is just a tool for us.” The people who actually want AI to replace humanity We need to create a new humanism before the “AI successionists” win.
Humans' ALMANAC: A Human Collaboration Dataset of Action-Level Mental Model Annotations for Agent Collaboration
arXiv:2606.06388v1 Announce Type: new Abstract: Recent advances in LLM agents have enabled complex cognitive capabilities, such as multi-step reasoning, planning, and tool use, that increasingly position these agents as human collaborators. Effective collaboration, however, requires collaborators to continuously maintain and align mental models of their own reasoning,partners' intentions, and shared goals during the collaborative process. Today's agents rarely develop such capabilities since...