All Articles
17800 articles total
The Forgotten Castles of the Garamantes
An article discussing the forgotten castles of the Garamantes, focusing on historical and archaeological findings.
Speculative Refinement: A Hybrid Autoregressive Diffusion Decoding Strategy and Its Behavior Across Benchmarks
Introduces Speculative Refinement (SpecRef), a training-free hybrid decoding strategy combining autoregressive and diffusion models for improved text generation.
DMV-Bench: Diagnosing Long-Horizon Multimodal Agents' Visual Memory with Incidental Cue Injection
Presents DMV-Bench, an interactive benchmark for multimodal agents' visual memory, and DualMem, a memory architecture for better visual-verbal recall.
Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge
Proposes LaViD, a framework for transferring semantic knowledge from a language-only LLM to a vision-only student model via multiple-choice questions.
The Context-Ready Transformer
Introduces the context-ready transformer, a recurrent neural network architecture that pre-contextualizes tokens to achieve faster inference and better performance on long contexts.
Benchmarking Multi-Modal Graph-based Social Media Popularity Prediction
Introduces MMG-Pop, a benchmark for multi-modal graph-based social media popularity prediction, and MMG-PopNet for joint modeling of social interaction signals.
On the Inseparability of Instructions and Data in Shared-Embedding Sequence Models
Provides a mathematical proof that prompt injection is impossible to prevent in shared-embedding architectures, suggesting a need for architectural separation of instructions and data.
hia-gat: A Heterogeneous Interaction-Aware Graph Attention Network For Frame-Level Traffic Conflict Risk Prediction On Freeways
Proposes HIA-GAT, a heterogeneous graph attention network for predicting traffic conflict risks on freeways using frame-level scene graphs.
PEBS: Per-rater Empirical-Bayes Shrinkage for RLHF Reward-Model Calibration
Presents PEBS, a per-rater empirical-Bayes shrinkage estimator for calibrating reward models in RLHF to account for annotator-specific rating scales.
Distribution-based deep multiple instance learning for tumor proportion scoring in NSCLC
Presents a distribution-based deep multiple instance learning framework for predicting tumor proportion scores in non-small cell lung cancer slides.
Herdr: Agent multiplexer that lives in your terminal
Herdr is a terminal-based agent multiplexer designed to manage multiple AI agents within a single command-line interface.
Dissecting Apple's Sparse Image Format (ASIF)
A deep dive into the technical specifications and internal structure of Apple's Sparse Image Format (ASIF).
Lore – give your coding agent the decisions your team made
Lore is a tool designed to provide coding agents with the historical context of team decisions to improve autonomous software development.
SidConArena: An Environment Evaluating Agents in Open-Ended,Positive-Sum Bargaining Game
Introduction of SidConArena, a benchmark framework for evaluating LLM agents in open-ended, positive-sum bargaining games.
Automated brain tumor detection in MRI images using CNN and ResNet architectures
Research on using CNN and ResNet architectures for automated brain tumor detection in MRI images, finding ResNet18 to be highly effective.
Towards Evaluation of Implicit Software World Models in Coding LLMs
An evaluation of whether coding LLMs possess 'software world models' capable of predicting execution resources like memory and wall-clock time.
Compression-Driven Anomaly Detection in Brain MRI Using an Interpretable Quantum Autoencoder
A study on using an interpretable Quantum Autoencoder (QAE) for anomaly detection in brain MRI data via compression-driven analysis.
Not All Relations Rotate Alike: Transformation-Aware Decoupling for Viewpoint-Robust 3D Scene Graph Generation
TAD is a viewpoint-robust 3D Scene Graph Generation framework that decouples relation reasoning based on predicate transformation behavior.
GRAFT: Biological Graph and Hypergraph Benchmarks for Linked Gene Expression and Phenotypic Trait Prediction in Arabidopsis thaliana
The GRAFT dataset is introduced to link gene expression and phenotypic trait prediction in Arabidopsis thaliana using biological graphs.
Supersede: Diagnosing and Training the Memory-Update Gap in LLM Agents
Research on the 'memory-update gap' in LLM agents and the release of Supersede, an RL environment to train agents to handle temporal fact updates.