2 papers
cs.LG2026
In-Cell Learning: Language Models That Update Their Own Weights in Sequence Without Changing the File They Ship
Zifeng Liu, Yaxin Lu, Xuanhan Wu +6
A 4-bit quantized weight specifies a rounding cell rather than a single full-precision value. We introduce in-cell learning, a paradigm for writing new knowledge only within these…
cs.LG2026
Clinical Graph-JEPA: Predictive Patient-State Knowledge Graphs for Cognitive Decision Support
Kushagra Yadav, Nalin Prabhath, Amit Lamba +3
Clinical records contain rich evidence about patient state, but converting that evidence into reliable, structured knowledge graphs remains difficult because extraction errors, ont…