small language model

CoMPASS: Collaborative Molecular Property Prediction via Adaptive Small-Large Model Synergy

CoMPASS is presented, a retrieval-calibrated framework for small-large model collaboration that retains a graph attention network as the predictive anchor, retrieves locally relevant training molecules, provides attention-grounded evidence to an LLM, and converts its proposal into a bounded correction through an agreem...

The Safety Relay in Roleplay Jailbreaks: A Component-Resolved Causal Analysis of Harm Recognition and Refusal

It is explained how roleplay can produce compliance despite retained evidence of harm and identify a concrete target for future safeguards: maintaining the connection from harm recognition to refusal.

Context Staircase: Signature-Aligned Dynamics of Token Embeddings under Small Initialization

A dynamic explanation of how data statistics and architecture jointly shape token embeddings in language models is provided, and an implicit bias in the space of data statistics is revealed: training proceeds from simpler, low-order statistical relations toward increasingly complex, context-dependent ones.

HalluPrism: When Multimodal Uncertainty Should Diagnose, Not Decide

HalluPrism, a behavioral diagnostic that re-runs an answer after visual degradation, blank-image replacement, and grounding or relation checks is proposed, a behavioral diagnostic that separates failure diagnosis from abstention scoring.

An interpretable river water quality prediction model by integrating deep learning and large language models

Physical mechanism-based models for river water quality prediction involve complicated calculations，whereas machine learning models lack interpretability，resulting in a disconnection between predictions and management decisions that hinders practical application. To deeply integrate high-precision prediction with dec...

Multi-Agent Robotic Control with Onboard Vision-Language Models

Results demonstrate that a fully onboard MAS architecture is a viable, cost-efficient alternative to cloud-dependent deployments, with strong potential for real-world transfer.

Evolutionary product line modelling

This work proposes an evolutionary software product line modelling approach based on controllable inheritance of product line members specifications that uses hierarchies of implemented product specifications accompanied by correctness control of product model transformations.

Experimental software engineering (STESE)

Software engineering theory and practice is still to a large extent based more on faith than on science. Only by contributing to the scientific and empirically grounded body of knowledge within a specific area of application, theory and practice can develop. Experimentation is an important scientific approach to collec...

Developing Software Products for Mobile Markets: Need for Rethinking Development Models and Practices

Commitment to Software Process Improvement—Development of Diagnostic Tool to Facilitate Improvement1

Early results suggest that the behaviors introduced in the model are relevant in SPI initiatives, the use of model raises the awareness about the people issues in improving processes, and the model could be used aside with CMM, SPICE or other process improvement models.

Modelling Usability Capability - Introducing the Dimensions

This work proposes an enhanced model where the usability capability is analyzed from three dimensions: user- centered infrastructure, implementation of user-centered practices in development projects, and business management commitment to usability as a competitive asset.

The personal software process: experiences from Denmark

The findings indicate an improvement in effort estimation skills and an increase in the resulting product quality in terms of reduced total defect density and the use of the PSP method in the software industry is discussed.