· ai
[Paper] Event Extraction in Large Language Model
Large language models (LLMs) and multimodal LLMs are changing event extraction (EE): prompting and generation can often produce structured outputs in zero shot ...
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- · ai
[Paper] Learning Continuous Solvent Effects from Transient Flow Data: A Graph Neural Network Benchmark on Catechol Rearrangement
Predicting reaction outcomes across continuous solvent composition ranges remains a critical challenge in organic synthesis and process chemistry. Traditional m...
- · software
[Paper] Beyond Language Boundaries: Uncovering Programming Language Families for Code Language Models
The rapid proliferation of diverse programming languages presents both opportunities and challenges for developing multilingual code LLMs. While existing techni...
- · ai
[Paper] A Dataset and Preliminary Study of Using GPT-5 for Code-change Impact Analysis
Understanding source code changes and their impact on other code entities is a crucial skill in software development. However, the analysis of code changes and ...
- · ai
[Paper] A Large-Language-Model Framework for Automated Humanitarian Situation Reporting
Timely and accurate situational reports are essential for humanitarian decision-making, yet current workflows remain largely manual, resource intensive, and inc...
- · ai
[Paper] Faster Distributed Inference-Only Recommender Systems via Bounded Lag Synchronous Collectives
Recommender systems are enablers of personalized content delivery, and therefore revenue, for many large companies. In the last decade, deep learning recommende...
- · devops
[Paper] Simulations between Strongly Sublinear MPC and Node-Capacitated Clique
We study how the strongly sublinear MPC model relates to the classic, graph-centric distributed models, focusing on the Node-Capacitated Clique (NCC), a bandwid...
- · ai
[Paper] Learning-Assisted Multi-Operator Variable Neighborhood Search for Urban Cable Routing
Urban underground cable construction is essential for enhancing the reliability of city power grids, yet its high construction costs make planning a worthwhile ...
- · software
[Paper] Semantically-Equivalent Transformations-Based Backdoor Attacks against Neural Code Models: Characterization and Mitigation
Neural code models have been increasingly incorporated into software development processes. However, their susceptibility to backdoor attacks presents a signifi...
- · devops
[Paper] L4: Low-Latency and Load-Balanced LLM Serving via Length-Aware Scheduling
Efficiently harnessing GPU compute is critical to improving user experience and reducing operational costs in large language model (LLM) services. However, curr...
- · software
[Paper] University Rents Enabling Corporate Innovation: Mapping Academic Researcher Coding and Discursive Labour in the R Language Ecosystem
This article explores the role of unrecognised labour in corporate innovation systems via an analysis of researcher coding and discursive contributions to R, on...
- · ai
[Paper] Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT
Decentralized federated learning (DFL) enables collaborative model training across edge devices without centralized coordination, offering resilience against si...