Linear Chain Transformation: Expanding Optimization Dynamics for Fine-Tuning Large Language Modelsby Yulong Wang, Chang Zuo,…
Interpretable Language Modeling via Induction-head Ngram Modelsby Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh,…
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Acceleratorsby Krishna Teja Chitty-Venkata, Siddhisanket Raskar,…
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Modelsby Haritz Puerto,…
Residual Deep Gaussian Processes on Manifoldsby Kacper Wyrwal, Andreas Krause, Viacheslav BorovitskiyFirst submitted to arxiv…
Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Useby Jiajun Xi, Yinong He,…
AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Controlby Fenmin Wu, Sicong Liu,…
EigenVI: score-based variational inference with orthogonal function expansionsby Diana Cai, Chirag Modi, Charles C. Margossian,…
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Modelsby Jinlin Lai, Justin Domke, Daniel SheldonFirst…
In-Context Fine-Tuning for Time-Series Foundation Modelsby Abhimanyu Das, Matthew Faw, Rajat Sen, Yichen ZhouFirst submitted…