Papers
Sat 3 Jan 2026
141 papers
- M3Kang: Evaluating Multilingual Multimodal Mathematical Reasoning in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Evidence-Grounded Multi-Agent Planning Support for Urban Carbon Governance via RAGLLM agents and tool use → Multimodal and embodied agents
- The Active Discoverer Framework: Towards Autonomous Physics Reasoning through Neuro-Symbolic LaTeX SynthesisLLM reasoning → Mathematical reasoning
- Dreaming Is Not a Bug: A Jung-Inspired Dream Layer for Multi-Agent LLM CompanionsLLM agents and tool use → Medical and scientific domain agents
- ReliabilityBench: Evaluating LLM Agent Reliability Under Production-Like Stress ConditionsLLM agents and tool use → Software engineering coding agents
- CBMAS: Cognitive Behavioral Modeling via Activation SteeringMechanistic interpretability → Activation steering methods
- From RLHF to Direct Alignment: A Theoretical Unification of Preference Learning for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- The Impact of Post-training on Data ContaminationLLM reasoning → Reinforcement learning for reasoning
- HyperCLOVA X 32B ThinkLLM reasoning → Multimodal reasoning +2
- Warp-Cortex: An Asynchronous, Memory-Efficient Architecture for Million-Agent Cognitive Scaling on Consumer HardwareLLM agents and tool use → Agent memory systems +1
- Aggressive Compression Enables LLM Weight TheftLLM safety and security → Jailbreaking
- The Alchemy of Thought: Understanding In-Context Learning Through Supervised ClassificationLLM reasoning → Reasoning benchmarks and evaluation
- dataRLsec: Safety, Security, and Reliability With Robust Offline Reinforcement Learning for DPAsLLM safety and security → Backdoor and data poisoning attacks
- PyBatchRender: A Python Library for Batched 3D Rendering at Up to One Million FPSDeep reinforcement learning methods → RL for robot locomotion and manipulation
- MambaFormer: Token-Level Guided Routing Mixture-of-Experts for Accurate and Efficient Clinical AssistanceMixture-of-experts → Medical and biomedical MoE
- MCP-SandboxScan: WASM-based Secure Execution and Runtime Analysis for MCP ToolsLLM agents and tool use → Agent threats, guardrails and governance
- Atomizer: An LLM-based Collaborative Multi-Agent Framework for Intent-Driven Commit UntanglingLLM agents and tool use → Software engineering coding agents
- NeuroSSM: Multiscale Differential State-Space Modeling for Context-Aware fMRI AnalysisState-space sequence models (S4, Mamba) → Physiological signal modeling
- Improved Object-Centric Diffusion Learning with Registers and Contrastive AlignmentDiffusion models → Image generation, text-to-image and editing
- XStreamVGGT: Extremely Memory-Efficient Streaming Vision Geometry Grounded Transformer with KV Cache CompressionEfficient LLM inference and serving → Token pruning and merging for ViTs
- Reinforcement Learning Enhanced Multi-hop Reasoning for Temporal Knowledge Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- Adaptive Scheduling: A Reinforcement Learning Whittle Index Approach for Wireless Sensor NetworksDeep reinforcement learning methods → RL for energy, networks and operations
- YODA: Yet Another One-step Diffusion-based Video CompressorDiffusion models → Diffusion for compression and wireless
- Latent Space Reinforcement Learning for Multi-Robot ExplorationDeep reinforcement learning methods → RL for robot navigation and UAV control
- ScienceDB AI: An LLM-Driven Agentic Recommender System for Large-Scale Scientific Data Sharing ServicesLLM agents and tool use → Agentic recommender systems
- NADD: Amplifying Noise for Effective Diffusion-based Adversarial PurificationDiffusion models → Robustness, privacy and adversarial aspects
- NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative UnderstandingLLM reasoning → Multimodal reasoning +1
- Luminark: Training-free, Probabilistically-Certified Watermarking for General Vision Generative ModelsLLM safety and security → Watermarking generated content and models
- Flow Equivariant World Models: Memory for Partially Observed Dynamic EnvironmentsWorld models → Latent predictive world models
- SPoRC-VIST: A Benchmark for Evaluating Generative Natural Narrative in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- EgoGrasp: World-Space Hand-Object Interaction Estimation from Egocentric VideosDiffusion models → Diffusion and flow policies for robotics
- Coarse-Grained Kullback--Leibler Control of Diffusion-Based Generative AIDiffusion models → Diffusion foundations and sampling
- ITSELF: Attention Guided Fine-Grained Alignment for Vision-Language RetrievalMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Intention Collapse: Intention-Level Metrics for Reasoning in Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Is He Extroverted? Identifying Missing Relevant Personas for Faithful User Simulation
- What Artificial Intelligence can do for High-Performance Computing systems?
- Let Me Try Again: Examining Replay Behavior by Tracing Students' Latent Problem-Solving Pathways
- L2CU: Learning to Complement Unseen Users
- Beyond Reproducibility: Token Probabilities Expose Large Language Model Nondeterminism
- The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety
- GroupSegment-SHAP: Shapley Value Explanations with Group-Segment Players for Multivariate Time Series
- Towards Infinite Length Extrapolation: A Unified Approach
- LLM Powered Social Digital Twins: A Framework for Simulating Population Behavioral Response to Policy Interventions
- Judge Model for Large-scale Multimodality Benchmarks
- Australian Bushfire Intelligence with AI-Driven Environmental Analytics
- Comment on arXiv:2511.21731v1: Identifying Quantum Structure in AI Language: Evidence for Evolutionary Convergence of Human and Artificial Cognition
- Dynamic Intelligence Ceilings: Measuring Long-Horizon Limits of Planning and Creativity in Artificial Systems
- How to Assess AI Literacy: Misalignment Between Self-Reported and Objective-Based Measures
- Multimodal Sentiment Analysis based on Multi-channel and Symmetric Mutual Promotion Feature Fusion
- MIAR: Modality Interaction and Alignment Representation Fuison for Multimodal Emotion
- Accelerating Monte-Carlo Tree Search with Optimized Posterior Policies
- T3C: Test-Time Tensor Compression with Consistency Guarantees
- ARGUS: Adaptive Rotation-Invariant Geometric Unsupervised System
- Sobolev Approximation of Deep ReLU Networks in Log-Barron Space
- Diffusion Timbre Transfer Via Mutual Information Guided Inpainting
- S2M-Net: Spectral-Spatial Mixing for Medical Image Segmentation with Morphology-Aware Adaptive Loss
- AI-Powered Deepfake Detection Using CNN and Vision Transformer Architectures
- Does Memory Need Graphs? A Unified Framework and Empirical Analysis for Long-Term Dialog Memory
- Supracompetitive Pricing Under AI Monoculture
- An Energy-Efficient Smart Bus Transport Management System with Blind-Spot Collision Detection Ability
- Accelerated Full Waveform Inversion by Deep Compressed Learning
- From Policy to Logic for Efficient and Interpretable Coverage Assessment
- Seamlessly Natural: Image Stitching with Natural Appearance Preservation
- Entity-Aware and Secure Query Optimization in Database Using Named Entity Recognition
- Stochastic Control Methods for Optimization
- Racka: Efficient Hungarian LLM Adaptation on Academic Infrastructure
- RFAssigner: A Generic Label Assignment Strategy for Dense Object Detection
- Evidence Slopes and Effective Dimension in Singular Linear Models
- Benchmarking the Computational and Representational Efficiency of State Space Models against Transformers on Long-Context Dyadic Sessions
- The Dependency Divide: An Interpretable Machine Learning Framework for Profiling Student Digital Satisfaction in the Bangladesh Context
- HyDRA: Hybrid Denoising Regularization for Measurement-Only DEQ Training
- Stylometry Analysis of Human and Machine Text for Academic Integrity
- Adaptive Conformal Prediction via Bayesian Uncertainty Weighting for Hierarchical Healthcare Data
- UniSH: Unifying Scene and Human Reconstruction in a Feed-Forward Pass
- Correctness isnt Efficiency: Runtime Memory Divergence in LLM-Generated Code
- Promptable Foundation Models for SAR Remote Sensing: Adapting the Segment Anything Model for Snow Avalanche Segmentation
- Real-Time LiDAR Point Cloud Densification for Low-Latency Spatial Data Transmission
- Persistent Tri-State Message Passing
- MentalGame: Predicting Personality-Job Fitness for Software Developers Using Multi-Genre Games and Machine Learning Approaches
- RefSR-Adv: Adversarial Attack on Reference-based Image Super-Resolution Models
- Objective Quality Assessment of Point Clouds Using Multi-scale Implicit Structural Similarity
- Crowded Video Individual Counting Informed by Social Grouping and Spatial-Temporal Displacement Priors
- DST-Calib: A Dual-Path, Self-Supervised, Target-Free LiDAR-Camera Extrinsic Calibration Network
- GenCAMO: Scene-Graph Contextual Decoupling for Environment-aware and Mask-free Camouflage Image-Dense Annotation Generation
- CardioMOD-Net: A Modal Decomposition-Neural Network Framework for Diagnosis and Prognosis of HFpEF from Echocardiography Cine Loops
- Almost Clinical: Linguistic properties of synthetic electronic health records
- Cross-Layer Attentive Feature Upsampling for Low-latency Semantic Segmentation
- Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models
- Gradient-Free Approaches is a Key to an Efficient Interaction with Markovian Stochasticity
- DHI: Leveraging Diverse Hallucination Induction for Enhanced Contrastive Factuality Control in Large Language Models
- SongSage: A Large Musical Language Model with Lyric Generative Pre-training
- Evo-TFS: Evolutionary Time-Frequency Domain-Based Synthetic Minority Oversampling Approach to Imbalanced Time Series Classification
- Conformal Blindness: A Note on A-Cryptic change-points
- Self-Training the Neurochaos Learning Algorithm
- KOS-TL (Knowledge Operation System Type Logic)
- AI-Powered Hybrid Intrusion Detection Framework for Cloud Security Using Novel Metaheuristic Optimization
- Generating Diverse TSP Tours via a Combination of Graph Pointer Network and Dispersion
- RovoDev Code Reviewer: A Large-Scale Online Evaluation of LLM-based Code Review Automation at Atlassian
- Wittgenstein's Family Resemblance Clustering Algorithm
- RoboPhD: Self-Improving Text-to-SQL Through Autonomous Agent Evolution
All 141
- Learning from Historical Activations in Graph Neural Networks
- Listen, Attend, Understand: a Regularization Technique for Stable E2E Speech Translation Training on High Variance labels
- Community-Based Early-Stage Chronic Kidney Disease Screening using Explainable Machine Learning for Low-Resource Settings
- EmoLoom-2B: Fast Base-Model Screening for Emotion Classification and VAD with Lexicon-Weak Supervision and KV-Off Evaluation
- Histogram Assisted Quality Aware Generative Model for Resolution Invariant NIR Image Colorization
- Evolving CNN Architectures: From Custom Designs to Deep Residual Models for Diverse Image Classification and Detection Tasks
- Neural Networks on Symmetric Spaces of Noncompact Type
- SoulSeek: Exploring the Use of Social Cues in LLM-based Information Seeking
- ks-lit-3m: A 3.1 million word kashmiri text dataset for large language model pretraining
- Harm in AI-Driven Societies: An Audit of Toxicity Adoption on Chirper.ai
- Central Dogma Transformer: Towards Mechanism-Oriented AI for Cellular Understanding
- 600k-ks-ocr: a large-scale synthetic dataset for optical character recognition in kashmiri script
- A UAV-Based Multispectral and RGB Dataset for Multi-Stage Paddy Crop Monitoring in Indian Agricultural Fields
- Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces
- Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees
- Gendered Pathways in AI Companionship: Cross-Community Behavior and Toxicity Patterns on Reddit
- Revisiting Weighted Strategy for Non-stationary Parametric Bandits and MDPs
- Tiny Machine Learning for Real-Time Aquaculture Monitoring: A Case Study in Morocco
- Efficient Hyperspectral Image Reconstruction Using Lightweight Separate Spectral Transformers
- A UCB Bandit Algorithm for General ML-Based Estimators
- Unsupervised Text Style Transfer for Controllable Intensity
- Enhancing Histopathological Image Classification via Integrated HOG and Deep Features with Robust Noise Performance
- Fibonacci-Driven Recursive Ensembles: Algorithms, Convergence, and Learning Dynamics
- Byzantine-Robust Federated Learning Framework with Post-Quantum Secure Aggregation for Real-Time Threat Intelligence Sharing in Critical IoT Infrastructure
- KV-Embedding: Training-free Text Embedding via Internal KV Re-routing in Decoder-only LLMs
- Evaluating transfer learning strategies for improving dairy cattle body weight prediction in small farms using depth-image and point-cloud data
- Generalizable Deepfake Detection Based on Forgery-aware Layer Masking and Multi-artifact Subspace Decomposition
- Multi-Dimensional Prompt Chaining to Improve Open-Domain Dialogue Generation
- Mono3DV: Monocular 3D Object Detection with 3D-Aware Bipartite Matching and Variational Query DeNoising
- Beyond Demand Estimation: Consumer Surplus Evaluation via Cumulative Propensity Weights
- A Platform for Interactive AI Character Experiences
- Enhanced Leukemic Cell Classification Using Attention-Based CNN and Data Augmentation
- Wireless Dataset Similarity: Measuring Distances in Supervised and Unsupervised Machine Learning
- Decoupling Amplitude and Phase Attention in Frequency Domain for RGB-Event based Visual Object Tracking
- Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations
- Improving Variational Autoencoder using Random Fourier Transformation: An Aviation Safety Anomaly Detection Case-Study
- HyperJoin: LLM-augmented Hypergraph Link Prediction for Joinable Table Discovery
- Geometric and Dynamic Scaling in Deep Transformers
- Disordered Dynamics in High Dimensions: Connections to Random Matrices and Machine Learning
- Data-Driven Assessment of Concrete Mixture Compositions on Chloride Transport via Standalone Machine Learning Algorithms
- An Explainable Agentic AI Framework for Uncertainty-Aware and Abstention-Enabled Acute Ischemic Stroke Imaging Decisions