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cs.AI2026★ 1 cited
FrontierScience: Evaluating AI's Ability to Perform Expert-Level Scientific Tasks
Miles Wang, Robi Lin, Kat Hu +4
We introduce FrontierScience, a benchmark evaluating expert-level scientific reasoning in frontier language models. Recent model progress has nearly saturated existing science benc…
cs.AI2025
The Unified Cognitive Consciousness Theory for Language Models: Anchoring Semantics, Thresholds of Activation, and Emergent Reasoning
Edward Y. Chang, Zeyneb N. Kaya, Ethan Chang
We propose semantic anchoring, a unified account of how large language models turn pretrained capacity into goal-directed behavior: external structure (in-context examples, retriev…
cs.AI2025
Multi-Agent Collaborative Intelligence: Dual-Dial Control for Reliable LLM Reasoning
Edward Y. Chang, Ethan Y. Chang
Multi-agent debate often wastes compute by using a fixed adversarial stance, aggregating without deliberation, or stopping on heuristics. We introduce MACI, an active controller wi…