Track genomics, neuroscience and molecular biology.
Search papers, labs, and topics across Lattice.
4
3
8
5
Omni-modal foundation models achieve self-improvement via RL compute scaled to 1M context, leveraging asynchronous training and agentic grading for enhanced intelligence.
Language models can now be rigorously evaluated on their ability to generate falsifiable research ideas, not just stylistic fluency.
Current image difference captioning benchmarks fail to capture semantic consistency and penalize hallucinations, but DiffCap-Bench offers a robust alternative that aligns with human expert judgments and predicts downstream utility for image editing.
Current autonomous agent benchmarks miss nearly half of safety violations and over 10% of robustness failures because they only check final outputs, a problem Claw-Eval directly addresses.