Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
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Beyond Repeated Sampling: Learning Search Policies for LLM Reasoning
by Ismail Labiad, Matthieu Kowalski, Marc Schoenauer, Rémi Munos, Julia Kempe
Detecting GPT-Assisted Writing Using Interpretable Stylometric Features
by Rajesh Kumar, Nabeel Siddiqui, Alexander Fuchsberger
MIGU: Multimodal Instruction Grounding under Uncertainty for Manipulation Planning
by Mingke Lu, Anxing Xiao, David Hsu
Feedback Coding Enables Inference-Time Covert Agentic Communication
by Sidong Guo, Sajani Vithana, Atefeh Gilani, Lalitha Sankar, Oliver Kosut, Flavio P. Calmon
Who Pays for the KV Cache? Attributing Shared AI Inference Spend Across Kubernetes and LLM Provider Bills
by Timothy Urista
onPanda: Efficient Annotation of On-Policy Alignment Data for LLMs and Agents via Token-Level Correction
by Lei Yang, Mengyin Liu, Jia Wang, Hangyu Guo, Liang Zhao, Zheng Ge, Kang An, Binxing Jiao, Qi Han, Daxin Jiang, Siqi Shen, Xiangyu Zhang
LoRA-generating hypernetworks for efficient on-device LLM generative personalization
by Sean Augenstein, Li Ding, Jihwan Lee, Keith Rush, Andrey Zhmoginov
Harness-Zero: Harness Distillation via Agent-as-Harness
by Haoran Ye, Yuxing Lu, Haonan Dong, Zhaochen Su, Guojie Song
Emergent Collusion in Long-Horizon LLM Agent Interaction
by Xinrui Shi, Yanzhe Zhang, Diyi Yang
Designer-RSI: Evolving Procedural Memory from User Traffic for Agentic Graphic Design
by Hongyang Du, Lan Yan, Christian Flores, Asim Kadav