3 papers
cs.LG2026
Federated Foundation Language Model Post-Training Should Focus on Open-Source Models
Nikita Agrawal, Ruben Mayer
Post-training of foundation language models has emerged as a promising research domain in federated learning (FL) with the goal to enable privacy-preserving model improvements and…
cs.LG2026
It's All Connected: Topology-Aware Structural Graph Encoding Improves Performance on Polymer Prediction
H. Ibrahim Erdogan, Punith Raviswamy, Nikita Agrawal +5
Graph Neural Networks (GNNs) have achieved strong results in molecular property prediction, but polymers present distinct challenges: labeled datasets are scarce and small (typical…
cs.CL2026
Benchmarking KV-Cache Optimizations across Task Quality and System Performance for Long-Context Serving
Nikita Agrawal, Ruben Mayer
Large language model serving is increasingly limited by KV-cache growth under long-context workloads, yet existing KV-cache compression techniques are difficult to compare because…