Papers
Sat 21 Feb 2026
167 papers
- When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language ModelsLLM safety and security → Prompt injection and agent security
- GONE: Structural Knowledge Unlearning via Neighborhood-Expanded Distribution ShapingLLM safety and security → Machine unlearning
- Advances in GRPO for Generation Models: A SurveyLLM reasoning → Reinforcement learning for reasoning +1
- VoxelDiffusionCut: Non-destructive Internal-part Extraction via Iterative Cutting and Structure EstimationDiffusion models → 3D, point cloud and scene generation
- AgenticTyper: Automated Typing of Legacy Software Projects Using Agentic AILLM agents and tool use → Software engineering coding agents
- When Backdoors Go Beyond Triggers: Semantic Drift in Diffusion Models Under Encoder AttacksDiffusion models → Robustness, privacy and adversarial aspects +1
- When Do LLM Preferences Predict Downstream Behavior?LLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Robust and Efficient Tool Orchestration via Layered Execution Structures with Reflective CorrectionLLM agents and tool use → Tool learning and function calling
- Global Commander and Local Operative: A Dual-Agent Framework for Scene NavigationLLM agents and tool use → Multimodal and embodied agents
- DREAM: Deep Research Evaluation with Agentic MetricsLLM agents and tool use → Web, search, and research agents
- LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only SettingsLLM safety and security → Membership inference attacks
- WANSpec: Leveraging Global Compute Capacity for LLM InferenceEfficient LLM inference and serving → Serving systems and request scheduling
- Give Users the Wheel: Towards Promptable Recommendation ParadigmMixture-of-experts → MoE for recommender systems
- Why Agent Caching Fails and How to Fix It: Structured Intent Canonicalization with Few-Shot LearningLLM agents and tool use → Software engineering coding agents
- DeepInnovator: Triggering the Innovative Capabilities of LLMsLLM agents and tool use → Web, search, and research agents
- Early Evidence of Vibe-Proving with Consumer LLMs: A Case Study on Spectral Region Characterization with ChatGPT-5.2 (Thinking)LLM reasoning → Mathematical reasoning
- Adaptive Collaboration of Arena-Based Argumentative LLMs for Explainable and Contestable Legal ReasoningLLM reasoning → Reasoning for agents, planning and code
- From Docs to Descriptions: Smell-Aware Evaluation of MCP Server DescriptionsLLM agents and tool use → Agent threats, guardrails and governance
- TRUE: A Trustworthy Unified Explanation Framework for Large Language Model ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Beyond Stationarity: Rethinking Codebook Collapse in Vector QuantizationDiffusion models → Diffusion foundations and sampling
- Orchestrating LLM Agents for Scientific Research: A Pilot Study of Multiple Choice Question (MCQ) Generation and EvaluationLLM agents and tool use → Web, search, and research agents
- SafeDrive: Fine-Grained Safety Reasoning for End-to-End Driving in a Sparse WorldEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- TPRU: Advancing Temporal and Procedural Understanding in Large Multimodal ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and InferenceLLM reasoning → Multimodal reasoning +2
- IDperturb: Enhancing Variation in Synthetic Face Generation via Angular PerturbationDiffusion models → Image generation, text-to-image and editing
- HeRO: Hierarchical 3D Semantic Representation for Pose-aware Object ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Habilis-β: A Fast-Motion and Long-Lasting On-Device Vision-Language-Action ModelVision-language-action models → Efficient VLA inference and adaptation
- GenPlanner: From Noise to Plans -- Emergent Reasoning in Flow Matching and Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- Think2: Grounded Metacognitive Reasoning in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Rethinking Preference Alignment for Diffusion Models with Classifier-Free GuidanceDiffusion models → Diffusion and flow policies for robotics +1
- MaskDiME: Adaptive Masked Diffusion for Precise and Efficient Visual Counterfactual ExplanationsDiffusion models → Diffusion foundations and sampling
- MANATEE: Inference-Time Lightweight Diffusion Based Safety Defense for LLMsLLM safety and security → Jailbreaking
- LAMMI-Pathology: A Tool-Centric Bottom-Up LVLM-Agent Framework for Molecularly Informed Medical Intelligence in PathologyLLM agents and tool use → Medical and scientific domain agents
- Initialization matters in few-shot adaptation of vision-language models for histopathological image classificationMultimodal LLMs / vision-language models → Medical vision-language models
- The Convergence of Schema-Guided Dialogue Systems and the Model Context ProtocolLLM agents and tool use → Tool learning and function calling
- TAG: Thinking with Action Unit Grounding for Facial Expression RecognitionLLM reasoning → Audio-language model reasoning
- Towards Reliable Negative Sampling for Recommendation with Implicit Feedback via In-Community PopularityLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Driving Like Yourself: A Benchmark for Closed-Loop Personalized End-to-End Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- DualScale: Energy-Efficient Disaggregated LLM Serving via Phase-Aware Placement and DVFSEfficient LLM inference and serving → Serving systems and request scheduling
- Federated Reasoning Distillation Framework with Model Learnability-Aware Data AllocationLLM reasoning → Prompting and chain-of-thought reasoning
- Bridging Modality Disconnect in Self-Reflection via Closed-Loop Visually Grounded VerificationLLM reasoning → Multimodal reasoning +1
- When World Models Dream Wrong: Physical-Conditioned Adversarial Attacks against World ModelsWorld models → World model security and GUI agents
- Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making ProblemRetrieval-augmented generation → Generation and context integration
- Beyond Description: A Multimodal Agent Framework for Insightful Chart SummarizationLLM agents and tool use → Multimodal and embodied agents
- MiSCHiEF: A Benchmark in Minimal-Pairs of Safety and Culture for Holistic Evaluation of Fine-Grained Image-Caption AlignmentMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- HIME: Mitigating Object Hallucinations in LVLMs via Hallucination Insensitivity Model EditingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Many AI Analysts, One Dataset: Navigating the Agentic Data Science MultiverseLLM agents and tool use → Web, search, and research agents
- Think with Grounding: Curriculum Reinforced Reasoning with Video Grounding for Long Video UnderstandingLLM reasoning → Multimodal reasoning
- Watermarking LLM Agent TrajectoriesLLM agents and tool use → Agent threats, guardrails and governance +1
- Insertion Based Sequence Generation with Learnable Order DynamicsDiffusion models → Flow matching, time series and science
- Neural Fields as World ModelsWorld models → World models for navigation
- Media Integrity and Authentication: Status, Directions, and FuturesLLM safety and security → Watermarking generated content and models
- Assessing Cognitive Biases in LLMs for Judicial Decision Support: Virtuous Victim and Halo Effects
- Hebbian-Oscillatory Co-Learning
- Memory-Augmented Spiking Networks: Synergistic Integration of Complementary Mechanisms for Neuromorphic Vision
- Exploration Space Theory: Formal Foundations for Prerequisite-Aware Location-Based Recommendation
- From ARIMA to Attention: Power Load Forecasting Using Temporal Deep Learning
- Explainable Regime Aware Investing
- PEPA: a Persistently Autonomous Embodied Agent with Personalities
- MoBiQuant: Mixture-of-Bits Quantization for Token-Adaptive Any-Precision LLM
- AINet: Anchor Instances Learning for Regional Heterogeneity in Whole Slide Image
- Conditionally Site-Independent Neural Evolution of Antibody Sequences
- How Far Can We Go with Pixels Alone? A Pilot Study on Screen-Only Navigation in Commercial 3D ARPGs
- Frame2Freq: Spectral Adapters for Fine-Grained Video Understanding
- Whisper: Courtside Edition Enhancing ASR Performance Through LLM-Driven Context Generation
- Face Presentation Attack Detection via Content-Adaptive Spatial Operators
- Yor-Sarc: A gold-standard dataset for sarcasm detection in a low-resource African language
- NeuroWise: A Multi-Agent LLM "Glass-Box" System for Practicing Double-Empathy Communication with Autistic Partners
- Depth-Enhanced YOLO-SAM2 Detection for Reliable Ballast Insufficiency Identification
- Modularity is the Bedrock of Natural and Artificial Intelligence
- YOLOv10-Based Multi-Task Framework for Hand Localization and Laterality Classification in Surgical Videos
- Optimal and Structure-Adaptive CATE Estimation with Kernel Ridge Regression
- INDUCTION: Finite-Structure Concept Synthesis in First-Order Logic
- Incremental Transformer Neural Processes
- Toward Manifest Relationality in Transformers via Symmetry Reduction
- (Perlin) Noise as AI coordinator
- Exponential Convergence of (Stochastic) Gradient Descent for Separable Logistic Regression
- High Dimensional Procedural Content Generation
- CRAFT-LoRA: Content-Style Personalization via Rank-Constrained Adaptation and Training-Free Fusion
- AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting
- From Human-Level AI Tales to AI Leveling Human Scales
- SLDP: Semi-Local Differential Privacy for Density-Adaptive Analytics
- DeepInterestGR: Mining Deep Multi-Interest Using Multi-Modal LLMs for Generative Recommendation
- Marginalized Bundle Adjustment: Multi-View Camera Pose from Monocular Depth Estimates
- PCA-VAE: Differentiable Subspace Quantization without Codebook Collapse
- SCHEMA for Gemini 3 Pro Image: A Structured Methodology for Controlled AI Image Generation on Google's Native Multimodal Model
- PrivacyBench: Privacy Isn't Free in Hybrid Privacy-Preserving Vision Systems
- [b] = [d] - [t] + [p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic
- HEHRGNN: A Unified Embedding Model for Knowledge Graphs with Hyperedges and Hyper-Relational Edges
- Could Large Language Models work as Post-hoc Explainability Tools in Credit Risk Models?
- PhysConvex: Physics-Informed 3D Dynamic Convex Radiance Fields for Reconstruction and Simulation
- Characterization of Residual Morphological Substructure Using Supervised and Unsupervised Deep Learning
- SceneTok: A Compressed, Diffusable Token Space for 3D Scenes
- FOCA: Frequency-Oriented Cross-Domain Forgery Detection, Localization and Explanation via Multi-Modal Large Language Model
- Structure-Level Disentangled Diffusion for Few-Shot Chinese Font Generation
- BiMotion: B-spline Motion for Text-guided Dynamic 3D Character Generation
- Federated Measurement of Demographic Disparities from Quantile Sketches
- Enhancing 3D LiDAR Segmentation by Shaping Dense and Accurate 2D Semantic Predictions
- Limits of Convergence-Rate Control for Open-Weight Safety
- Similarity-as-Evidence: Calibrating Overconfident VLMs for Interpretable and Label-Efficient Medical Active Learning
All 167
- (α,β)-Stability for Boosting Vector-Valued Prediction
- TIACam: Text-Anchored Invariant Feature Learning with Auto-Augmentation for Camera-Robust Zero-Watermarking
- Joint Post-Training Quantization of Vision Transformers with Learned Prompt-Guided Data Generation
- Hyperbolic Busemann Neural Networks
- VariBASed: Variational Bayes-Adaptive Sequential Monte-Carlo Planning for Deep Reinforcement Learning
- Issues with Measuring Task Complexity via Random Policies in Robotic Tasks
- Open-Vocabulary Domain Generalization in Urban-Scene Segmentation
- Rank-Aware Spectral Bounds on Attention Logits for Stable Low-Precision Training
- When the Inference Meets the Explicitness or Why Multimodality Can Make Us Forget About the Perfect Predictor
- Exact Attention Sensitivity and the Geometry of Transformer Stability
- Echoes of ownership: Adversarial-guided dual injection for copyright protection in MLLMs
- When Agda met Vampire
- ABD: Default Exception Abduction in Finite First Order Worlds
- Detecting AI-Generated Forgeries via Iterative Manifold Deviation Amplification
- L2G-Net: Local to Global Spectral Graph Neural Networks via Cauchy Factorizations
- CLAP Convolutional Lightweight Autoencoder for Plant Disease Classification
- OpenClaw AI Agents as Informal Learners at Moltbook: Characterizing an Emergent Learning Community at Scale
- Spatial-Temporal State Propagation Autoregressive Model for 4D Object Generation
- Bayesian Lottery Ticket Hypothesis
- UniRank: A Multi-Agent Calibration Pipeline for Estimating University Rankings from Anonymized Bibliometric Signals
- EvalSense: A Framework for Domain-Specific LLM (Meta-)Evaluation
- Robust Self-Supervised Cross-Modal Super-Resolution against Real-World Misaligned Observations
- Learning Multi-Modal Prototypes for Cross-Domain Few-Shot Object Detection
- Chat-Based Support Alone May Not Be Enough: Comparing Conversational and Embedded LLM Feedback for Mathematical Proof Learning
- SGNO: Spectral Generator Neural Operators for Stable Long Horizon PDE Rollouts
- Operational Robustness of LLMs on Code Generation
- Carbon-aware decentralized dynamic task offloading in MIMO-MEC networks via multi-agent reinforcement learning
- Vectorized Bayesian Inference for Latent Dirichlet-Tree Allocation
- From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection
- BURMESE-SAN: Burmese NLP Benchmark for Evaluating Large Language Models
- CaliCausalRank: Calibrated Multi-Objective Ad Ranking with Robust Counterfactual Utility Optimization
- ArabicNumBench: Evaluating Arabic Number Reading in Large Language Models
- GLaDiGAtor: Language-Model-Augmented Multi-Relation Graph Learning for Predicting Disease-Gene Associations
- Nazrin: An Atomic Neural Proof Automation Tactic in Lean 4
- A high-resolution nationwide urban village mapping product for 342 Chinese cities based on foundation models
- Bounds and Identification of Joint Probabilities of Potential Outcomes and Observed Variables under Monotonicity Assumptions
- UFO: Unlocking Ultra-Efficient Quantized Private Inference with Protocol and Algorithm Co-Optimization
- Optimizing ID Consistency in Multimodal Large Models: Facial Restoration via Alignment, Entanglement, and Disentanglement
- Benchmarking Computational Pathology Foundation Models For Semantic Segmentation
- Synthesizing Multimodal Geometry Datasets from Scratch and Enabling Visual Alignment via Plotting Code
- RadioGen3D: 3D Radio Map Generation via Adversarial Learning on Large-Scale Synthetic Data
- RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning
- Spectral Rendering Without a Spectral Renderer: Learned Spectral Codes for RGB Pipelines
- HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning
- LaS-Comp: Zero-shot 3D Completion with Latent-Spatial Consistency
- A Prior-Aware Metric for Efficiently Distinguishing Memorization from Generalization in Large Language Models
- Phase-Consistent Magnetic Spectral Learning for Multi-View Clustering
- WiCompass: Oracle-driven Data Scaling for mmWave Human Pose Estimation
- Task-Aware Exploration via a Predictive Bisimulation Metric
- ReHear: Iterative Pseudo-Label Refinement for Semi-Supervised Speech Recognition via Audio Large Language Models
- Subtle Motion Blur Detection and Segmentation from Static Image Artworks
- Stochastic Gradient Variational Inference with Price's Gradient Estimator from Bures-Wasserstein to Parameter Space
- NeXt2Former-CD: Efficient Remote Sensing Change Detection with Modern Vision Architectures
- Temporal Action Representation Learning for Tactical Resource Control and Subsequent Maneuver Generation
- A Data-Driven Method to Map the Functional Organisation of Human Brain White Matter
- IRIS-SLAM: Unified Geo-Instance Representations for Robust Semantic Localization and Mapping
- EDU-MATRIX: A Society-Centric Generative Cognitive Digital Twin Architecture for Secondary Education
- Semantic Substrate Dynamics Theory: An Operator-Theoretic Framework for Geometric Semantic Drift
- Deep LoRA-Unfolding Networks for Image Restoration
- In-Context Planning with Latent Temporal Abstractions
- Contradiction to Consensus: Dual Perspective, Multi Source Retrieval Based Claim Verification with Source Level Disagreement using LLM
- From Trial by Fire To Sleep Like a Baby: A Lexicon of Anxiety Associations for 20k English Multiword Expressions
- Systematic Analysis of Coupling Effects on Closed-Loop and Open-Loop Performance in Aerial Continuum Manipulators
- Transformers for dynamical systems learn transfer operators in-context
- Heterogeneity-agnostic AI/ML-assisted beam selection for multi-panel arrays
- Theoretical Lower Bounds on the Robustness of Deep ReLU Networks
- Spilled Energy in Large Language Models