· ai
[Paper] Extractive summarization on a CMOS Ising machine
Extractive summarization (ES) aims to generate a concise summary by selecting a subset of sentences from a document while maximizing relevance and minimizing re...
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- · ai
[Paper] CTest-Metric: A Unified Framework to Assess Clinical Validity of Metrics for CT Report Generation
In the generative AI era, where even critical medical tasks are increasingly automated, radiology report generation (RRG) continues to rely on suboptimal metric...
- · devops
[Paper] Space-Optimal, Computation-Optimal, Topology-Agnostic, Throughput-Scalable Causal Delivery through Hybrid Buffering
Message delivery respecting causal ordering (causal delivery) is one of the most classic and widely useful abstraction for inter-process communication in a dist...
- · ai
[Paper] Health Facility Location in Ethiopia: Leveraging LLMs to Integrate Expert Knowledge into Algorithmic Planning
Ethiopia's Ministry of Health is upgrading health posts to improve access to essential services, particularly in rural areas. Limited resources, however, requir...
- · ai
[Paper] Generative Scenario Rollouts for End-to-End Autonomous Driving
Vision-Language-Action (VLA) models are emerging as highly effective planning models for end-to-end autonomous driving systems. However, current works mostly re...
- · ai
[Paper] A Probabilistic Approach to Trajectory-Based Optimal Experimental Design
We present a novel probabilistic approach for optimal path experimental design. In this approach a discrete path optimization problem is defined on a static nav...
- · ai
[Paper] Low-Rank Key Value Attention
Transformer pretraining is increasingly constrained by memory and compute requirements, with the key-value (KV) cache emerging as a dominant bottleneck during t...
- · ai
[Paper] Exploring LLM Features in Predictive Process Monitoring for Small-Scale Event-Logs
Predictive Process Monitoring is a branch of process mining that aims to predict the outcome of an ongoing process. Recently, it leveraged machine-and-deep lear...
- · ai
[Paper] MHA2MLA-VLM: Enabling DeepSeek's Economical Multi-Head Latent Attention across Vision-Language Models
As vision-language models (VLMs) tackle increasingly complex and multimodal tasks, the rapid growth of Key-Value (KV) cache imposes significant memory and compu...
- · ai
[Paper] Learning Semantic-Geometric Task Graph-Representations from Human Demonstrations
Learning structured task representations from human demonstrations is essential for understanding long-horizon manipulation behaviors, particularly in bimanual ...
- · ai
[Paper] Interactive Narrative Analytics: Bridging Computational Narrative Extraction and Human Sensemaking
Information overload and misinformation create significant challenges in extracting meaningful narratives from large news collections. This paper defines the na...
- · ai
[Paper] PRISM-CAFO: Prior-conditioned Remote-sensing Infrastructure Segmentation and Mapping for CAFOs
Large-scale livestock operations pose significant risks to human health and the environment, while also being vulnerable to threats such as infectious diseases ...