From the 1 of 9 linked papers with an AI index.
9 papers
Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning
Dongyue Li, Zhenshuo Zhang, Minxuan Duan +2
The paper proposes branching neural networks that automatically partition multiple algorithmic reasoning tasks into a hierarchical tree structure, enabling efficient multitask lear…
LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injection
Lei Zhao, Abhay Bhaskar, Edgar Dobriban
AI agents such as OpenClaw are increasingly deployed in local workflows with access to external tools. This creates indirect prompt-injection (IPI) risk: an agent may execute harmf…
Where to Spend Rollouts: Hit-Utility Optimal Rollout Allocation for Group-Based RLVR
Tao Wang, Shuo Li, Yan Sun +2
Reinforcement learning with verifiable rewards (RLVR) has emerged as a central paradigm for improving the reasoning capabilities of large language models. Group-based policy optimi…
Risk-Controlled Post-Processing of Decision Policies
Sunay Joshi, Tao Wang, Hamed Hassani +1
Predictive models are often deployed through existing decision policies that stakeholders are reluctant to change unless a risk constraint requires intervention. We study risk-cont…
Synthetic-Powered Multiple Testing with FDR Control
Yonghoon Lee, Meshi Bashari, Edgar Dobriban +1
Multiple hypothesis testing with false discovery rate (FDR) control is a fundamental problem in statistical inference, with broad applications in genomics, drug screening, and outl…
Statistical Early Stopping for Reasoning Models
Yangxinyu Xie, Tao Wang, Soham Mallick +6
While LLMs have seen substantial improvement in reasoning capabilities, they also sometimes overthink, generating unnecessary reasoning steps, particularly under uncertainty, given…