Papers
Sat 13 Sep 2025
89 papers
- OpenHA: A Series of Open-Source Hierarchical Agentic Models in MinecraftLLM agents and tool use → Reinforcement learning for LLM agents
- Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic EncodingLLM safety and security → Jailbreaking
- Lightweight Metadata-Aware Mixture-of-Experts Masked Autoencoder for Earth ObservationMixture-of-experts → Vision mixture-of-experts
- ToMA: Token Merge with Attention for Diffusion ModelsDiffusion models → Diffusion foundations and sampling +1
- Robustifying Diffusion-Denoised Smoothing Against Covariate ShiftDiffusion models → Robustness, privacy and adversarial aspects
- CultureSynth: A Hierarchical Taxonomy-Guided and Retrieval-Augmented Framework for Cultural Question-Answer SynthesisRetrieval-augmented generation → Generation and context integration
- Is the `Agent' Paradigm a Limiting Framework for Next-Generation Intelligent Systems?LLM agents and tool use → General LLM agent frameworks and benchmarks
- Text2Sign Diffusion: A Generative Approach for Gloss-Free Sign Language ProductionDiffusion models → Sign language production
- GAPrune: Gradient-Alignment Pruning for Domain-Aware EmbeddingsLLM agents and tool use → Web, search, and research agents
- Evaluating Large Language Models for Evidence-Based Clinical Question AnsweringRetrieval-augmented generation → Medical and biomedical RAG
- Rethinking Sparse Autoencoders: Select-and-Project for Fairness and Control from Encoder Features AloneLLM reasoning → Reasoning benchmarks and evaluation
- Judge Q: Trainable Queries for Optimized Information Retention in KV Cache EvictionEfficient LLM inference and serving → KV cache optimization
- AgentArch: A Comprehensive Benchmark to Evaluate Agent Architectures in EnterpriseLLM agents and tool use → General LLM agent frameworks and benchmarks
- EditDuet: A Multi-Agent System for Video Non-Linear EditingLLM agents and tool use → Multimodal and embodied agents
- Socially Aware Music Recommendation: A Multi-Modal Graph Neural Networks for Collaborative Music Consumption and Community-Based Engagement
- CityAQVis: Integrated ML-Visualization Sandbox Tool for Pollutant Estimation in Urban Regions Using Multi-Source Data (Software Article)
- Unpacking Musical Symbolism in Online Communities: Content-Based and Network-Centric Approaches
- PISA: An AI Pipeline for Interpretable-by-design Survival Analysis Providing Multiple Complexity-Accuracy Trade-off Models
- A systematic review of trial-matching pipelines using large language models
- Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers
- How Much of Your Data Can Suck? Thresholds for Domain Performance and Emergent Misalignment in LLMs
- Context-Enhanced Granular Edit Representation for Efficient and Accurate ASR Post-editing
- Refining Syntactic Distinctions Using Decision Trees: A Paper on Postnominal 'That' in Complement vs. Relative Clauses
- Incomplete Tasks Induce Shutdown Resistance in Some Frontier LLMs
- Label-Efficient Grasp Joint Prediction with Point-JEPA
- A Variational Physics-Informed Neural Network Framework Using Petrov-Galerkin Method for Solving Singularly Perturbed Boundary Value Problems
- Research on Short-Video Platform User Decision-Making via Multimodal Temporal Modeling and Reinforcement Learning
- A Traditional Approach to Symbolic Piano Continuation
- Genome-Factory: A Library for Tuning, Deploying, and Interpreting Genomic Foundation Models
- A Modern Look at Simplicity Bias in Image Classification Tasks
- Gradient Methods with Online Scaling Part II. Practical Aspects
- AD-GS: Alternating Densification for Sparse-Input 3D Gaussian Splatting
- Hardness, Structural Knowledge, and Opportunity: An Analytical Framework for Modular Performance Modeling
- Policy-Driven Transfer Learning in Resource-Limited Animal Monitoring
- Factor Graph Optimization for Leak Localization in Water Distribution Networks
- TrueSkin: Towards Fair and Accurate Skin Tone Recognition and Generation
- ReFineG: Synergizing Small Supervised Models and LLMs for Low-Resource Grounded Multimodal NER
- Decoupling Search and Learning in Neural Net Training
- Enhancing Computational Cognitive Architectures with LLMs: A Case Study
- PHLoRA: data-free Post-hoc Low-Rank Adapter extraction from full-rank checkpoint
- The Psychogenic Machine: Simulating AI Psychosis, Delusion Reinforcement and Harm Enablement in Large Language Models
- Gaze Authentication: Factors Influencing Authentication Performance
- Predictive Free Energy Simulations Through Hierarchical Distillation of Quantum Hamiltonians
- Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations
- Simulating Sinogram-Domain Motion and Correcting Image-Domain Artifacts Using Deep Learning in HR-pQCT Bone Imaging
- ViSTR-GP: Online Cyberattack Detection via Vision-to-State Tensor Regression and Gaussian Processes in Automated Robotic Operations
- When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning
- An Interpretable Benchmark for Clickbait Detection and Tactic Attribution
- Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents
- Public Data Assisted Differentially Private In-Context Learning
- Clarifying Model Transparency: Interpretability versus Explainability in Deep Learning with MNIST and IMDB Examples
- Aligning ESG Controversy Data with International Guidelines through Semi-Automatic Ontology Construction
- TV Subgradient-Guided Multi-Source Fusion for Spectral Imaging in Dual-Camera CASSI Systems
- AutoOEP -- A Multi-modal Framework for Online Exam Proctoring
- Nav-R1: Reasoning and Navigation in Embodied Scenes
- Privacy-Preserving Generation of Clinical Narratives from Medical Terminologies
- On the Impact of Downstream Tasks on Sampling and Reconstructing Noisy Graph Signals
- Optimal message passing for molecular prediction is simple, attentive and spatial
- GTHNA: Local-global Graph Transformer with Memory Reconstruction for Holistic Node Anomaly Evaluation
- Physics-informed neural network solves minimal surfaces in curved spacetime
- CogGNN: Cognitive Graph Neural Networks in Generative Connectomics
- Quantifier Scope Interpretation in Language Learners and LLMs
- Large Language Models for Security Operations Centers: A Comprehensive Survey
- Variable Selection Using Relative Importance Rankings
- Pre-Storage Reasoning for Episodic Memory: Shifting Inference Burden to Memory for Personalized Dialogue
- Neurosymbolic AI Transfer Learning Improves Network Intrusion Detection
- A funny companion: Distinct neural responses to AI- versus human-attributed humor
- OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds
- Point-Plane Projections for Accurate LiDAR Semantic Segmentation in Small Data Scenarios
- A Comparison of Selected Image Transformation Techniques for Malware Classification
- Exploring the Paradigm Shift from Grounding to Skolemization for Complex Query Answering on Knowledge Graphs
- Towards Automated Error Discovery: A Study in Conversational AI
- CUBE: Contrastive Understanding by Balanced Experiments
- Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression
- LLM Enhancement with Domain Expert Mental Model to Reduce LLM Hallucination with Causal Prompt Engineering
- Well-Conditioned Polynomial Representations for Mathematical Handwriting Recognition
- InternScenes: A Large-scale Simulatable Indoor Scene Dataset with Realistic Layouts
- Branched Broomrape Detection in Tomato Farms Using Satellite Imagery and Time-Series Analysis
- Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction
- GoldenTransformer: A Modular Fault Injection Framework for Transformer Robustness Research
- Adapting Medical Vision Foundation Models for Volumetric Medical Image Segmentation via Active Learning and Selective Semi-supervised Fine-tuning
- Bridging Cultural Distance Between Models Default and Local Classroom Demands: How Global Teachers Adopt GenAI to Support Everyday Teaching Practices
- Group Evidence Matters: Tiling-based Semantic Gating for Dense Object Detection
- Contextual Budget Bandit for Food Rescue Volunteer Engagement
- RSL-RL: A Learning Library for Robotics Research
- Enhancement Without Contrast: Stability-Aware Multicenter Machine Learning for Glioma MRI Imaging
- MetaSeal: Defending Against Image Attribution Forgery Through Content-Dependent Cryptographic Watermarks
- AI Answer Engine Citation Behavior An Empirical Analysis of the GEO16 Framework
- Every Camera Effect, Every Time, All at Once: 4D Gaussian Ray Tracing for Physics-based Camera Effect Data Generation