All Articles
15956 articles total
Evaluating Federated Pre-Training: On the Reliability of Downstream Fine-Tuning and Intrinsic Evaluation
A study evaluating federated pre-training reliability, finding that direct next-token prediction is a more reliable evaluation signal than downstream fine-tuning.
Sensitivity Analysis of GRU, LSTM and Transformer Encoder in Classification of Automated Driving Systems
Sensitivity analysis of GRU, LSTM, and Transformer encoders for classifying automated driving systems (ADS) using telematics data.
Guarantees on Dynamical System Distinguishability for LLM Token Generation
A theoretical framework for the distinguishability of LLM token generation based on modeling token embeddings as trajectories of a dynamical system.
LAWFUL: Law-Aligned Witness for Faithful Use of Latents
Presentation of LAWFUL, a framework to verify if neural networks have learned governing physical laws and use them in internal computations.
MPP-GNN: Subject-Adaptive Community Detection for fMRI-Based Alzheimer's Disease Classification
Introduction of MPP-GNN, a subject-adaptive community detection GNN for better Alzheimer's disease classification using fMRI data.
Metaphor-Induced Algorithmic Steering: Cross-Domain Procedural Transfer in LLM Code Generation
Exploration of 'metaphorical algorithmic steering' where metaphors in prompts lead LLMs to generate less efficient code.
Technological Advances in Detecting and Managing Cognitive Impairment in Older Adults: Trends, Challenges, and Future Directions
A review of technological advances in AI and neuroimaging for the detection and management of cognitive impairment in older adults.
ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction
Introduces ExtractBench, a benchmark for schema-guided enterprise document extraction that evaluates value accuracy, record completeness, and grounding.
Scaffolding Critical Engagement with GenAI: Transforming Ethnic Minority Preparatory Students' Collaborative Discourse in Prompt Engineering Tasks
Research on how pedagogical scaffolding can shift ethnic minority students from passive consumption to critical co-creation when using GenAI.
Topology-Aware Data Movement for Disaggregated GPU Inference
Proposes a topology-aware transfer orchestrator to reduce latency in disaggregated GPU inference by optimizing KV cache movement.
The Asymmetric Effects of Knowledge Distillation on Bias in Small Language Models
Analyzes asymmetric effects of knowledge distillation on bias in small LLMs and proposes the Per-Condition Calibration Diagnosis (PCCD) protocol.
The Formalism Trap: Are LLM-as-a-Judge Evaluators Blinded by Consensus Mimicry under Social Load?
Introduces the Agentic Formalism Trap and the Evaluative Dissonance Index to quantify how LLM-as-a-Judge systems can be misled by structural proceduralism.
Seeing Differently: Modeling Interpretive Perspectives in Computational Creativity using a Four-World Framework
Proposes a four-world framework for modeling interpretive perspectives in computational creativity, using a persona-based evaluation approach.
Looks Right, Works Right: A Project-Level Benchmark for Multi-Screen Mobile App Generation
Introduces MobileForge, a benchmark for project-level multi-screen mobile app generation that evaluates build, navigation, and maintainability.
ConnectED: A Curriculum-Aligned AI System for Vietnamese Instructional Lesson Planning and Student Learning
Presents ConnectED, an AI system for Vietnamese instructional lesson planning based on the VietEduQwen model.
Why It Hurts: Identifying the Drivers of Negative Thoughts in Emotional Support Conversations
Introduces the AppraiSal benchmark and the PRISM probabilistic framework to help LLMs identify salient cognitive appraisal dimensions in emotional support.
COSI-Lab: Conference Living Lab for Modeling Multi-Perspective Multimodal Social Intention
Presents COSI-Lab, a multimodal dataset of social interactions at a scientific workshop to model multi-perspective social intention.
Don't be a meat proxy
A discussion on the dangers of acting as a 'meat proxy'—performing tasks for AI that it cannot yet do, thereby hindering its own evolution and personal efficiency.
More German than many Germans
An exploration of German language and culture, likely discussed in the context of linguistic nuances or identity.
Rust project goals: Immobile types and guaranteed destructors
Updates on the Rust project goals, specifically focusing on the implementation of immobile types and guaranteed destructors to improve memory safety and predictability.