All Articles
17909 articles total
Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution
Uses LLMs and a structured mutation grammar (SCE) to discover new quantum low-density parity-check (qLDPC) codes.
IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation
Proposes IV-CoT, a latent visual reasoning framework to improve structure-aware text-to-image generation using implicit visual chain-of-thought.
It's Complicated: On the Design and Evaluation of AI-Powered AAC Interfaces
Explores the design and evaluation of AI-powered interfaces for augmentative and alternative communication (AAC).
FLUX3D: High-Fidelity 3D Gaussian Generation with Diffusion-Aligned Sparse Representation
Presents FLUX3D, a scalable image-to-3DGS framework improving 3D Gaussian Splatting reconstruction fidelity and alignment.
Exploring the internal representations of Pangram 3.3.2
An exploration into the internal representations of Pangram 3.3.2.
Ending All Respiratory Infections
A discussion regarding the effort to end all respiratory infections.
Bible as RAG Database
An implementation or discussion of using the Bible as a Retrieval-Augmented Generation (RAG) database.
Mixing Visual and Textual Code
Research or a proposal on mixing visual and textual representations of code.
MSc Thesis – The Limits of Generalized Sync
An MSc thesis exploring the theoretical limits of generalized synchronization.
Task Decomposition for Efficient Annotation
Proposes a method to decompose complex structured annotation tasks into sub-tasks to reduce inferential load and improve cost-efficiency.
Beyond U-Net: A Latent-Representation-Aligned Skip-Free Backbone for Flow-Matching Speech Enhancement
Introduces a skip-free encoder-decoder backbone for flow-matching speech enhancement to improve real-time deployment and audio quality.
UniDrive: A Unified Vision-Language and Grounding Framework for Interpretable Risk Understanding in Autonomous Driving
Presents UniDrive, a framework for autonomous driving that combines temporal reasoning and high-resolution perception for interpretable risk understanding.
Context-Aware Prediction of Student Quiz Performance with Multimodal Textbook Features
Study on using multimodal textbook features (text and images) to improve the prediction of student quiz performance.
DeepBD: A Grounded Agentic Workflow for Variant Prioritization and Diagnosis of Genetic Birth Defects
Introduces DeepBD, an agentic workflow for diagnosing genetic birth defects by prioritizing variants using LLMs and evidence engines.
A Fair Evaluation of Graph Foundation Models for Node Property Prediction
Researchers reevaluated 9 Graph Foundation Models for node property prediction, finding that only the most recent Prior-data Fitted Networks outperform well-tuned Graph Neural Networks.
Poster: Exploring the Limits of Audio-Based Detection of Turkish Phone Call Scams
A study on detecting Turkish phone scams using LLMs introduces a new multi-modal dataset and finds that transcript-based inputs outperform raw audio processing.
Toward Self-Evolution-Ready Workflow Harnesses: A Reversible Migration Path and Convertibility Taxonomy for Expert LLM Pipelines
The paper proposes a reversible migration path using a Strangler-Fig approach and a convertibility taxonomy to transform legacy LLM workflows into composable, typed stages.
Infinitesimal Causality
This theoretical paper introduces a categorical account of infinitesimal causality using Frobenius Markov categories and tangent-bundle semantics to model causal interventions.
Privacy-Preserving RAG via Multi-Agent Semantic Rewriting: Achieving Confidentiality Without Compromising Contextual Fidelity
A new multi-agent framework for Privacy-Preserving RAG uses semantic rewriting to remove sensitive identifiers from retrieved content without losing contextual fidelity.
Visualizing "We the People": Bridging the Perception Gap through Pluralistic Data Storytelling
This research explores using AI to create pluralistic data visualizations that emphasize nuance and consensus in public opinion, reducing political polarization.