TaDaS
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TadA-Bench: A Million-Variant Benchmark for Future-Round Discovery Toward Agentic Protein Engineering
Announce Type: cross Abstract: AI for scientific discovery is entering an agentic era, where protein-engineering systems are expected to prioritize future wet-lab experiments rather than merely fit static measurements. We introduce TadA-Bench, a million-variant wet-lab replay benchmark from 31 TadA directed-evolution rounds for future-round discovery toward agentic protein engineering. TadA-Bench preserves the campaign chronology and defines a fixed-data replay task: given earlier...
TaDA: Calibrated Probe Gating for Task-Domain LoRA Merging
arXiv:2606.05016v1 Announce Type: new Abstract: Combining a task LoRA adapter with a domain LoRA adapter into a single unified model is a practical yet largely unexplored challenge. Existing methods treat both adapters as symmetric peers, applying uniform weights across all layers.
Are Economists Open to AI? Text as Data as Survey on Professional Sentiment and Academic Research Trends
arXiv:2606.01958v1 Announce Type: new Abstract: Traditional surveys are costly, hard to reconstruct retrospectively, and vulnerable to self-presentation bias. Raw internet text is abundant but noisy, weakly structured, and platform-selected. We introduce TaDaS (Text as Data as Survey), a framework that converts naturally occurring text into survey-like evidence by linking a question corpus to an answer corpus through cross-dataset semantic retrieval.
Hong Kong rules out favouring existing ride-hailing platform drivers for permits
Hong Kong rules out favouring existing ride-hailing platform drivers for permits Transport minister Mable Chan also reiterates 10,000 quota is prudent approach despite pressure from lawmakers for timetable to review cap Hong Kong authorities will not favour existing ride-hailing platform drivers in the allocation of such vehicle permits, citing concerns about encouraging illegal activities and difficulties in execution, the transport minister has said. Secretary for Transport and Logistics...
Doctors thought this kidney drug helped some patients. It may help millions more.
Doctors thought this kidney drug helped some patients. It may help millions more. - Date: - June 8, 2026