Papers
Tue 13 Jan 2026
348 papers
- Do Open-Vocabulary Detectors Transfer to Aerial Imagery? A Comparative EvaluationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Mem2ActBench: A Benchmark for Evaluating Long-Term Memory Utilization in Task-Oriented Autonomous AgentsLLM agents and tool use → Agent memory systems
- Agentic Digital Twins: A Taxonomy of Capabilities for Understanding Possible FuturesLLM agents and tool use → General LLM agent frameworks and benchmarks
- On the Limits of Learned Importance Scoring for KV Cache CompressionEfficient LLM inference and serving → KV cache optimization
- Synthetic Data for Veterinary EHR De-identification: Benefits, Limits, and Safety Trade-offs Under Fixed ComputeSynthetic data and self-improvement for LLMs → Medical synthetic data and agents
- The Hierarchy of Agentic Capabilities: Evaluating Frontier Models on Realistic RL EnvironmentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAGRetrieval-augmented generation → RAG robustness and adaptive retrieval
- ART: Action-based Reasoning Task Benchmarking for Medical AI AgentsLLM reasoning → Clinical and biomedical applications +1
- Breaking the Bottlenecks: Scalable Diffusion Models for 3D Molecular GenerationDiffusion models → Flow matching, time series and science
- Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World ModelsWorld models → World models for language agents
- LLMs as Assessors: Right for the Right Reason?LLM reasoning → Reasoning benchmarks and evaluation
- Attention Consistency Regularization for Interpretable Early-Exit Neural NetworksEfficient LLM inference and serving → Early exit and edge inference
- Modeling LLM Agent Reviewer Dynamics in Elo-Ranked Review SystemLLM agents and tool use → General LLM agent frameworks and benchmarks
- MemRec: Collaborative Memory-Augmented Agentic Recommender SystemLLM agents and tool use → Agentic recommender systems
- Reasoning Matters for 3D Visual GroundingLLM reasoning → Spatial and embodied reasoning
- Multiplex Thinking: Reasoning via Token-wise Branch-and-MergeLLM reasoning → Prompting and chain-of-thought reasoning
- MixServe: An Automatic Distributed Serving System for MoE Models with Hybrid Parallelism Based on Fused Communication AlgorithmMixture-of-experts → Efficient MoE training and inference systems
- Asymptotic Universal Alignment: A New Alignment Framework via Test-Time ScalingLLM reasoning → Reinforcement learning for reasoning +1
- Reliable Graph-RAG for Codebases: AST-Derived Graphs vs LLM-Extracted Knowledge GraphsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMsLLM reasoning → Reinforcement learning for reasoning
- M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image UnderstandingLLM reasoning → Clinical and biomedical applications +1
- To Retrieve or To Think? Cross-Boundary Context Evolution for Multi-hop Complex ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- TableCache: Primary Foreign Key Guided KV Cache Precomputation for Low Latency Text-to-SQLEfficient LLM inference and serving → KV cache optimization
- Inferring Latent Intentions: Attributional Natural Language Inference in LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- From Rows to Reasoning: A Retrieval-Augmented Multimodal Framework for Spreadsheet UnderstandingLLM reasoning → Knowledge- and tool-augmented reasoning +1
- PrivGemo: Privacy-Preserving Dual-Tower Graph Retrieval for Empowering LLM Reasoning with Memory AugmentationLLM reasoning → Knowledge- and tool-augmented reasoning
- Learning from Demonstrations via Capability-Aware Goal SamplingOffline RL and imitation learning from data → Imitation learning methods
- RAGShaper: Eliciting Sophisticated Agentic RAG Skills via Automated Data SynthesisRetrieval-augmented generation → Agentic RAG, agents and memory +2
- PersonaDual: Balancing Personalization and Objectivity via Adaptive ReasoningLLM reasoning → Reinforcement learning for reasoning
- Advancing ESG Intelligence: An Expert-level Agent and Comprehensive Benchmark for Sustainable FinanceLLM agents and tool use → Financial trading and forecasting agents
- Parallel Context-of-Experts Decoding for Retrieval Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
- VLingNav: Embodied Navigation with Adaptive Reasoning and Visual-Assisted Linguistic MemoryVision-language-action models → Reasoning and chain-of-thought in VLA
- Resisting Manipulative Bots in Meme Coin Copy Trading: A Multi-Agent Approach with Chain-of-Thought ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- M2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series ForecastingMixture-of-experts → MoE for time series and graphs
- SafeRedir: Prompt Embedding Redirection for Robust Unlearning in Image Generation ModelsLLM safety and security → Vision-language and text-to-image safety
- GraphSearch: Agentic Search-Augmented Reasoning for Zero-Shot Graph LearningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World ScenariosRetrieval-augmented generation → Multimodal RAG
- SoC: Semantic Orthogonal Calibration for Test-Time Prompt TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- SfMamba: Efficient Source-Free Domain Adaptation via Selective Scan ModelingState-space sequence models (S4, Mamba) → Vision Mamba backbones
- ExpSeek: Self-Triggered Experience Seeking for Web AgentsLLM agents and tool use → Agent memory systems
- VideoHEDGE: Entropy-Based Hallucination Detection for Video-VLMs via Semantic Clustering and Spatiotemporal PerturbationsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- DeepResearch Bench II: Diagnosing Deep Research Agents via Rubrics from Expert ReportsLLM agents and tool use → Web, search, and research agents
- Your Group-Relative Advantage Is BiasedLLM reasoning → Reinforcement learning for reasoning
- STAR: Detecting Inference-time Backdoors in LLM Reasoning via State-Transition Amplification RatioLLM reasoning → Reasoning for agents, planning and code +1
- STAGE: A Full-Screenplay Benchmark for Reasoning over Evolving StoriesLLM reasoning → Reasoning benchmarks and evaluation
- BenchOverflow: Measuring Overflow in Large Language Models via Plain-Text PromptsLLM safety and security → Jailbreaking
- Surgical Refusal Ablation: Disentangling Safety from Intelligence via Concept-Guided Spectral CleaningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Cross-modal Proxy Evolving for OOD Detection with Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Towards Safer Mobile Agents: Scalable Generation and Evaluation of Diverse Scenarios for VLMsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- JudgeRLVR: Judge First, Generate Second for Efficient ReasoningLLM reasoning → Reinforcement learning for reasoning
- Zero-Shot Distracted Driver Detection via Vision Language Models with Double DecouplingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- CoMa: Contextual Massing Generation with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- M3-BENCH: Process-Aware Evaluation of LLM Agents' Social Behaviors in Mixed-Motive GamesLLM agents and tool use → Social simulation and multi-agent debate
- Decoding Order Matters in Autoregressive Speech SynthesisDiffusion models → Discrete and text diffusion
- Beyond Linearization: Attributed Table Graphs for Table ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- YaPO: Learnable Sparse Activation Steering Vectors for Domain AdaptationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Incentivizing Cardiologist-Like Reasoning in MLLMs for Interpretable Echocardiographic DiagnosisLLM reasoning → Clinical and biomedical applications
- Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory ManagementLLM agents and tool use → Agent memory systems
- Large Multimodal Models for Embodied Intelligent Driving: The Next Frontier in Self-Driving?LLM reasoning → Chain-of-thought reasoning for driving +2
- Silence the Judge: Reinforcement Learning with Self-Verifier via Latent Geometric ClusteringLLM reasoning → Reinforcement learning for reasoning
- Coverage Improvement and Fast Convergence of On-policy Preference LearningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- MMLGNet: Cross-Modal Alignment of Remote Sensing Data using CLIPMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Hybrid Distillation with CoT Guidance for Edge-Drone Control Code GenerationLLM reasoning → Spatial and embodied reasoning
- WebTrap Park: An Automated Platform for Systematic Security Evaluation of Web AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Owen-Shapley Policy Optimization: A Principled RL Algorithm for Generative Search LLMsLLM reasoning → Reinforcement learning for reasoning
- Controlled LLM Training on Spectral SphereMixture-of-experts → Efficient MoE training and inference systems
- Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense ModelsMixture-of-experts → MoE large language models
- MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy GuidanceDiffusion models → Diffusion foundations and sampling
- Scalable Sequential Recommendation under Latency and Memory ConstraintsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Semantic Misalignment in Vision-Language Models under Perceptual DegradationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- When KV Cache Reuse Fails in Multi-Agent Systems: Cross-Candidate Interaction is Crucial for LLM JudgesLLM agents and tool use → Software engineering coding agents +1
- Semantic Laundering in AI Agent Architectures: Why Tool Boundaries Do Not Confer Epistemic WarrantLLM agents and tool use → Agent threats, guardrails and governance
- ActiveVLA: Injecting Active Perception into Vision-Language-Action Models for Precise 3D Robotic ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- AtomMem : Learnable Dynamic Agentic Memory with Atomic Memory OperationLLM agents and tool use → Agent memory systems
- Enhancing Image Quality Assessment Ability of LMMs via Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- ORBIT: On-policy Exploration-Exploitation for Controllable Multi-Budget ReasoningLLM reasoning → Reinforcement learning for reasoning
- SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge DevicesDiffusion models → Diffusion foundations and sampling
- M3SR: Multi-Scale Multi-Perceptual Mamba for Efficient Spectral ReconstructionState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- KidVis: Do Multimodal Large Language Models Possess the Visual Perceptual Capabilities of a 6-Year-Old?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- D2Plan: Dual-Agent Dynamic Global Planning for Complex Retrieval-Augmented ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +2
- Greedy Is Enough: Sparse Action Discovery in Agentic LLMsLLM agents and tool use → Reinforcement learning for LLM agents
- ACE-Router: Generalizing History-Aware Routing from MCP Tools to the Agent WebLLM agents and tool use → General LLM agent frameworks and benchmarks
- Discovery and Reinforcement of Tool-Integrated Reasoning Chains via Rollout TreesLLM reasoning → Reasoning for agents, planning and code +1
- HIPPO: Accelerating Video Large Language Models Inference via Holistic-aware Parallel Speculative DecodingEfficient LLM inference and serving → Fast autoregressive visual generation
- Sparsity Is Necessary: Polynomial-Time Stability for Agentic LLMs in Large Action SpacesLLM agents and tool use → Reinforcement learning for LLM agents
- Med-CoReasoner: Reducing Language Disparities in Medical Reasoning via Language-Informed Co-ReasoningLLM reasoning → Clinical and biomedical applications
- Diagnosing and Mitigating Sycophancy and Skepticism in LLM Causal JudgmentLLM reasoning → Causal reasoning in LLMs
- FSAG: Enhancing Human-to-Dexterous-Hand Finger-Specific Affordance Grounding via Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- The End of Reward Engineering: How LLMs Are Redefining Multi-Agent CoordinationLLM agents and tool use → Reinforcement learning for LLM agents
- MPCI-Bench: A Benchmark for Multimodal Pairwise Contextual Integrity Evaluation of Language Model AgentsLLM agents and tool use → Agent threats, guardrails and governance
- User-Oriented Multi-Turn Dialogue Generation with Tool Use at scaleLLM reasoning → Reasoning for agents, planning and code
- DNF: Dual-Layer Nested Fingerprinting for Large Language Model Intellectual Property ProtectionLLM safety and security → Watermarking generated content and models
- Towards Principled Design of Mixture-of-Experts Language Models under Memory and Inference ConstraintsMixture-of-experts → MoE large language models
- Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Evaluating Implicit Regulatory Compliance in LLM Tool Invocation via Logic-Guided SynthesisLLM agents and tool use → Agent threats, guardrails and governance
- Route, Retrieve, Reflect, Repair: Self-Improving Agentic Framework for Visual Detection and Linguistic Reasoning in Medical ImagingLLM reasoning → Clinical and biomedical applications +3
- ForgetMark: Stealthy Fingerprint Embedding via Targeted Unlearning in Language ModelsLLM safety and security → Watermarking generated content and models
- Improving LLM Reasoning with Homophily-aware Structural and Semantic Text-Attributed Graph CompressionLLM reasoning → Knowledge- and tool-augmented reasoning
- GI-Bench: A Panoramic Benchmark Revealing the Knowledge-Experience Dissociation of Multimodal Large Language Models in Gastrointestinal Endoscopy Against Clinical StandardsMultimodal LLMs / vision-language models → Medical vision-language models
- Prompt-Based Clarity Evaluation and Topic Detection in Political Question AnsweringLLM reasoning → Prompting and chain-of-thought reasoning
All 348
- The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace ScenariosLLM agents and tool use → General LLM agent frameworks and benchmarks
- Representation Learning with Semantic-aware Instance and Sparse Token AlignmentsMultimodal LLMs / vision-language models → Medical vision-language models
- SwiftMem: Fast Agentic Memory via Query-aware IndexingLLM agents and tool use → Agent memory systems
- WISE-Flow: Workflow-Induced Structured Experience for Self-Evolving Conversational Service AgentsLLM agents and tool use → Software engineering coding agents +1
- Project Synapse: A Hierarchical Multi-Agent Framework with Hybrid Memory for Autonomous Resolution of Last-Mile Delivery DisruptionsLLM agents and tool use → Software engineering coding agents
- Where Does Vision Meet Language? Understanding and Refining Visual Fusion in MLLMs via Contrastive AttentionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Subspace Alignment for Vision-Language Model Test-time AdaptationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow PoliciesDiffusion models → Diffusion and flow policies for robotics
- How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes DomainsLLM reasoning → Test-time compute and efficient thinking
- Emergent Coordination in Multi-Agent Systems via Pressure Fields and Temporal DecayLLM agents and tool use → General LLM agent frameworks and benchmarks
- MirrorBench: A Benchmark to Evaluate Conversational User-Proxy Agents for Human-LikenessLLM agents and tool use → General LLM agent frameworks and benchmarks
- Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
- STO-RL: Offline RL under Sparse Rewards via LLM-Guided Subgoal Temporal OrderOffline RL and imitation learning from data → Offline RL algorithms
- Query Suggestion for Retrieval-Augmented Generation via Dynamic In-Context LearningRetrieval-augmented generation → Agentic RAG, agents and memory +1
- AdaJudge: Adaptive Multi-Perspective Judging for Reward ModelingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- From Prompts to Deployment: Auto-Curated Domain-Specific Dataset Generation via Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Q-realign: Piggybacking Realignment on Quantization for Safe and Efficient LLM DeploymentLLM safety and security → Safety alignment, refusal and guardrails
- Comparison of Outlier Detection Algorithms on String Data
- Investigating Self-regulated Learning Sequences within a Generative AI-based Intelligent Tutoring System
- Uncertainty Quantification for Named Entity Recognition via Full-Sequence and Subsequence Conformal Prediction
- When Generative AI Meets Extended Reality: Enabling Scalable and Natural Interactions
- DeepSurvey-Bench: Evaluating Academic Value of Automatically Generated Scientific Surveys
- Uncovering Latent Bias in LLM-Based Emergency Department Triage Through Proxy Variables
- A Comparison of Polynomial-Based Tree Clustering Methods
- Beyond Affinity: A Benchmark of 1D, 2D, and 3D Methods Reveals Critical Trade-offs in Structure-Based Drug Design
- Hallucination-Free Automatic Question & Answer Generation for Intuitive Learning
- Handcrafted Feature-Assisted One-Class Learning for Artist Authentication in Historical Drawings
- Heterogeneous computing platform for real-time robotics
- Critically Engaged Pragmatism: Scientific Norm and Social, Pragmatist Epistemology for AI Science Evaluation Tools
- Generalizable Geometric Prior and Recurrent Spiking Feature Learning for Humanoid Robot Manipulation
- Proactively Detecting Threats: A Novel Approach Using LLMs
- Layer-Parallel Training for Transformers
- Universal Latent Homeomorphic Manifolds: A Framework for Cross-Domain Representation Unification
- An Inexact Weighted Proximal Trust-Region Method
- Tail-Sensitive KL and R'enyi Convergence of Unadjusted Hamiltonian Monte Carlo via One-Shot Couplings
- Meta-learning to Address Data Shift in Time Series Classification
- Multicultural Spyfall: Assessing LLMs through Dynamic Multilingual Social Deduction Game
- TranslateGemma Technical Report
- Block Decomposable Methods for Large-Scale Optimization Problems
- Changes in Visual Attention Patterns for Detection Tasks due to Dependencies on Signal and Background Spatial Frequencies
- GOUHFI 2.0: A Next-Generation Toolbox for Brain Segmentation and Cortex Parcellation at Ultra-High Field MRI
- Instance camera focus prediction for crystal agglomeration classification
- Entropy Sentinel: Probing Entropy Traces for LLM Monitoring
- Universal Dynamics of Warmup Stable Decay: understanding WSD beyond Transformers
- Physics-Guided Counterfactual Explanations for Large-Scale Multivariate Time Series: Application in Scalable and Interpretable SEP Event Prediction
- Optimising for Energy Efficiency and Performance in Machine Learning
- SAM-pose2seg: Pose-Guided Human Instance Segmentation in Crowds
- Thermo-LIO: A Novel Multi-Sensor Integrated System for Structural Health Monitoring
- Continuous Fairness On Data Streams
- Machine Learning-Driven Creep Law Discovery Across Alloy Compositional Space
- MLCBART: Multilabel Classification with Bayesian Additive Regression Trees
- Variance-Penalized MC-Dropout as a Learned Smoothing Prior for Brain Tumour Segmentation
- Fairness risk and its privacy-enabled solution in AI-driven robotic applications
- PluriHarms: Benchmarking the Full Spectrum of Human Judgments on AI Harm
- ConvoLearn: A Learning Sciences Grounded Dataset for Fine-Tuning Dialogic AI Tutors
- DriftGuard: A Hierarchical Framework for Concept Drift Detection and Remediation in Supply Chain Forecasting
- W-DUALMINE: Reliability-Weighted Dual-Expert Fusion With Residual Correlation Preservation for Medical Image Fusion
- Towards a Self-Driving Trigger at the LHC: Adaptive Response in Real Time
- Navigating Ideation Space: Decomposed Conceptual Representations for Positioning Scientific Ideas
- Comprehensive Machine Learning Benchmarking for Fringe Projection Profilometry with Photorealistic Synthetic Data
- XGBoost Forecasting of NEPSE Index Log Returns with Walk Forward Validation
- Spectral Generative Flow Models: A Physics-Inspired Replacement for Vectorized Large Language Models
- Evaluating Role-Consistency in LLMs for Counselor Training
- Adaptive few-shot learning for robust part quality classification in two-photon lithography
- RAVEN: Erasing Invisible Watermarks via Novel View Synthesis
- 3AM: 3egment Anything with Geometric Consistency in Videos
- Motion Attribution for Video Generation
- S3-CLIP: Video Super Resolution for Person-ReID
- APEX-SWE
- Near-perfect photo-ID of the Hula painted frog with zero-shot deep local-feature matching
- DentalX: Context-Aware Dental Disease Detection with Radiographs
- Aggregating Diverse Cue Experts for AI-Generated Image Detection
- Uncovering Political Bias in Large Language Models using Parliamentary Voting Records
- On the use of graph models to achieve individual and group fairness
- Fast and explainable clustering in the Manhattan and Tanimoto distance
- Pervasive Annotation Errors Break Text-to-SQL Benchmarks and Leaderboards
- An Example for Domain Adaptation Using CycleGAN
- AI as Entertainment
- Adaptive Requesting in Decentralized Edge Networks via Non-Stationary Bandits
- Grid-Aware Charging and Operational Optimization for Mixed-Fleet Public Transit
- A Geolocation-Aware Multimodal Approach for Ecological Prediction
- A Single-Parameter Factor-Graph Image Prior
- TerraFormer: Automated Infrastructure-as-Code with LLMs Fine-Tuned via Policy-Guided Verifier Feedback
- A Novel Approach to Explainable AI with Quantized Active Ingredients in Decision Making
- ISLA: A U-Net for MRI-based acute ischemic stroke lesion segmentation with deep supervision, attention, domain adaptation, and ensemble learning
- Salience-SGG: Enhancing Unbiased Scene Graph Generation with Iterative Salience Estimation
- Model-Agnostic Solutions for Deep Reinforcement Learning in Non-Ergodic Contexts
- Kernel Learning for Regression via Quantum Annealing Based Spectral Sampling
- Soft Partition-based KAPI-ELM for Multi-Scale PDEs
- Real-Time Localization Framework for Autonomous Basketball Robots
- Multi-Preconditioned LBFGS for Training Finite-Basis PINNs
- RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors
- Evaluating the Ability of Explanations to Disambiguate Models in a Rashomon Set
- Automated Lesion Segmentation of Stroke MRI Using nnU-Net: A Comprehensive External Validation Across Acute and Chronic Lesions
- Auditing Student-AI Collaboration: A Case Study of Online Graduate CS Students
- Enabling Population-Based Architectures for Neural Combinatorial Optimization
- Nationality and Region Prediction from Names: A Comparative Study of Neural Models and Large Language Models
- All Required, In Order: Phase-Level Evaluation for AI-Human Dialogue in Healthcare and Beyond
- QuantEval: A Benchmark for Financial Quantitative Tasks in Large Language Models
- MEMEWEAVER: Inter-Meme Graph Reasoning for Sexism and Misogyny Detection
- Region of interest detection for efficient aortic segmentation
- Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization
- Al'em do Desempenho: Um Estudo da Confiabilidade de Detectores de Deepfakes
- Why AI Alignment Failure Is Structural: Learned Human Interaction Structures and AGI as an Endogenous Evolutionary Shock
- Analyzing Bias in False Refusal Behavior of Large Language Models for Hate Speech Detoxification
- Blind Deconvolution in Astronomy: How Does a Standalone U-Net Perform?
- From Classical to Quantum Reinforcement Learning and Its Applications in Quantum Control: A Beginner's Tutorial
- TRACE: Reconstruction-Based Anomaly Detection in Ensemble and Time-Dependent Simulations
- From Rubrics to Reliable Scores: Evidence-Grounded Text Evaluation with LLM Judges
- Prism: Towards Lowering User Cognitive Load in LLMs via Complex Intent Understanding
- Safe Language Generation in the Limit
- Provably Safe Reinforcement Learning for Stochastic Reach-Avoid Problems with Entropy Regularization
- A Parallel Cross-Lingual Benchmark for Multimodal Idiomaticity Understanding
- Automatic debiased machine learning and sensitivity analysis for sample selection models
- Moral Lenses, Political Coordinates: Towards Ideological Positioning of Morally Conditioned LLMs
- Get away with less: Need of source side data curation to build parallel corpus for low resource Machine Translation
- How Order-Sensitive Are LLMs? OrderProbe for Deterministic Structural Reconstruction
- Robust low-rank estimation with multiple binary responses using pairwise AUC loss
- Accelerated Methods with Complexity Separation Under Data Similarity for Federated Learning Problems
- VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking
- Interpretability and Individuality in Knee MRI: Patient-Specific Radiomic Fingerprint with Reconstructed Healthy Personas
- WaveFormer: Frequency-Time Decoupled Vision Modeling with Wave Equation
- A Sharp Universality Dichotomy for the Free Energy of Spherical Spin Glasses
- Sample Complexity of Composite Quantum Hypothesis Testing
- MoCha:End-to-End Video Character Replacement without Structural Guidance
- Ministral 3
- Rewriting Video: Text-Driven Reauthoring of Video Footage
- WaterCopilot: An AI-Driven Virtual Assistant for Water Management
- REVNET: Rotation-Equivariant Point Cloud Completion via Vector Neuron Anchor Transformer
- EviNAM: Intelligibility and Uncertainty via Evidential Neural Additive Models
- Contrastive and Multi-Task Learning on Noisy Brain Signals with Nonlinear Dynamical Signatures
- Convergence of gradient flow for learning convolutional neural networks
- Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement
- Reducing Compute Waste in LLMs through Kernel-Level DVFS
- Sketch-Based Facade Renovation With Generative AI: A Streamlined Framework for Bypassing As-Built Modelling in Industrial Adaptive Reuse
- Sampling via Stochastic Interpolants by Langevin-based Velocity and Initialization Estimation in Flow ODEs
- Building Supervision into Hebbian Plasticity through Spike Agreement
- Keyframe-based Dense Mapping with the Graph of View-Dependent Local Maps
- CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning
- Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models
- Algorithmic Stability in Infinite Dimensions: Characterizing Unconditional Convergence in Banach Spaces
- What If TSF: Reframing Time Series Forecasting as Scenario-Guided Multimodal Forecasting
- Temporal Fusion Nexus: A task-agnostic multi-modal embedding model for clinical narratives and irregular time series in post-kidney transplant care
- It's All About the Confidence: An Unsupervised Approach for Multilingual Historical Entity Linking using Large Language Models
- EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning in Vision Transformers
- GraphFusionSBR: Denoising Multi-Channel Graphs for Session-Based Recommendation
- PKI: Prior Knowledge-Infused Neural Network for Few-Shot Class-Incremental Learning
- AUV Trajectory Learning for Underwater Acoustic Energy Transfer and Age Minimization
- An IoT-Enabled Smart Aquarium System for Real-Time Water Quality Monitoring and Automated Feeding
- DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion
- Do You Understand How I Feel?: Towards Verified Empathy in Therapy Chatbots
- SUMMPILOT: Bridging Efficiency and Customization for Interactive Summarization System
- sui-1: Grounded and Verifiable Long-Form Summarization
- Modality-Decoupled RGB-Thermal Object Detector via Query Fusion
- An Under-Explored Application for Explainable Multimodal Misogyny Detection in code-mixed Hindi-English
- Developing Predictive and Robust Radiomics Models for Chemotherapy Response in High-Grade Serous Ovarian Carcinoma
- Divide and Conquer: Static-Dynamic Collaboration for Few-Shot Class-Incremental Learning
- Sleep-Based Homeostatic Regularization for Stabilizing Spike-Timing-Dependent Plasticity in Recurrent Spiking Neural Networks
- Noise-Adaptive Regularization for Robust Multi-Label Remote Sensing Image Classification
- RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation
- Deep Learning Based Facial Retargeting Using Local Patches
- Taxon: Hierarchical Tax Code Prediction with Semantically Aligned LLM Expert Guidance
- Regulatory gray areas of LLM Terms
- SPARK: Scalable Real-Time Point Cloud Aggregation with Multi-View Self-Calibration
- Edge-Optimized Multimodal Learning for UAV Video Understanding via BLIP-2
- Out-of-distribution generalization of deep-learning surrogates for 2D PDE-generated dynamics in the small-data regime
- PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors
- An Explainable Two Stage Deep Learning Framework for Pericoronitis Assessment in Panoramic Radiographs Using YOLOv8 and ResNet-50
- Design and Development of a Low-Cost Scalable GSM-IoT Smart Pet Feeder with a Remote Mobile Application
- Creativity in AI as Emergence from Domain-Limited Generative Models
- A Qualitative Model to Reason about Object Rotations (QOR) applied to solve the Cube Comparison Test (CCT)
- Thematic Working Group 5 -- Artificial Intelligence (AI) literacy for teaching and learning: design and implementation
- Source-Free Domain Adaptation for Geospatial Point Cloud Semantic Segmentation
- Geo-NVS-w: Geometry-Aware Novel View Synthesis In-the-Wild with an SDF Renderer
- PosIR: Position-Aware Heterogeneous Information Retrieval Benchmark
- Linear probing enables Ship-Radiated Noise recognition with pretrained audio embeddings
- MLPlatt: Simple Calibration Framework for Ranking Models
- Detecting Mental Manipulation in Speech via Synthetic Multi-Speaker Dialogue
- From Local Windows to Adaptive Candidates via Individualized Exploratory: Rethinking Attention for Image Super-Resolution
- Tissue Classification and Whole-Slide Images Analysis via Modeling of the Tumor Microenvironment and Biological Pathways
- Automated Machine Learning in Radiomics: A Comparative Evaluation of Performance, Efficiency and Accessibility
- IGAN: A New Inception-based Model for Stable and High-Fidelity Image Synthesis Using Generative Adversarial Networks
- CLaS-Bench: A Cross-Lingual Alignment and Steering Benchmark
- Safe Heterogeneous Multi-Agent RL with Communication Regularization for Coordinated Target Acquisition
- UM-Text: A Unified Multimodal Model for Image Understanding and Visual Text Editing
- YOLOBirDrone: Dataset for Bird vs Drone Detection and Classification and a YOLO based enhanced learning architecture
- Disentangling History and Propagation Dependencies in Cross-Subject Knee Contact Stress Prediction Using a Shared MeshGraphNet Backbone
- Deep Exploration of Epoch-wise Double Descent in Noisy Data: Signal Separation, Large Activation, and Benign Overfitting
- AgriAgent: Contract-Driven Planning and Capability-Aware Tool Orchestration in Real-World Agriculture
- Enhancing Sentiment Classification and Irony Detection in Large Language Models through Advanced Prompt Engineering Techniques
- ReCo-KD: Region- and Context-Aware Knowledge Distillation for Efficient 3D Medical Image Segmentation
- Demystifying the Slash Pattern in Attention: The Role of RoPE
- OpenMic: A Multi-Agent-Based Stand-Up Comedy Generation System
- AgriLens: Semantic Retrieval in Agricultural Texts Using Topic Modeling and Language Models
- One-Shot Identification with Different Neural Network Approaches
- AIMC-Spec: A Benchmark Dataset for Automatic Intrapulse Modulation Classification under Variable Noise Conditions
- VGG Induced Deep Hand Sign Language Detection
- A Usable GAN-Based Tool for Synthetic ECG Generation in Cardiac Amyloidosis Research
- On Evaluation of Unsupervised Feature Selection for Pattern Classification
- Large Artificial Intelligence Model Guided Deep Reinforcement Learning for Resource Allocation in Non Terrestrial Networks
- LDLT L-Lipschitz Network Weight Parameterization Initialization
- Hyperbolic Heterogeneous Graph Transformer
- Incorporating Cognitive Biases into Reinforcement Learning for Financial Decision-Making
- Improving Zero-shot ADL Recognition with Large Language Models through Event-based Context and Confidence
- Temporal-Enhanced Interpretable Multi-Modal Prognosis and Risk Stratification Framework for Diabetic Retinopathy (TIMM-ProRS)
- Structural Dimension Reduction in Bayesian Networks
- GADPN: Graph Adaptive Denoising and Perturbation Networks via Singular Value Decomposition
- Knowledge-based learning in Text-RAG and Image-RAG
- An Axiomatic Approach to General Intelligence: SANC(E3) -- Self-organizing Active Network of Concepts with Energy E3
- One-Shot Federated Ridge Regression: Exact Recovery via Sufficient Statistic Aggregation
- Adapting Rules of Official International Mahjong for Online Players
- Scalable Multiagent Reinforcement Learning with Collective Influence Estimation
- Generation-Augmented Generation: A Plug-and-Play Framework for Private Knowledge Injection in Large Language Models
- FUME: Fused Unified Multi-Gas Emission Network for Livestock Rumen Acidosis Detection
- MobiDiary: Autoregressive Action Captioning with Wearable Devices and Wireless Signals
- Unified Multi-Site Multi-Sequence Brain MRI Harmonization Enriched by Biomedical Semantic Style
- Human-inspired Global-to-Parallel Multi-scale Encoding for Lightweight Vision Models
- Autonomous Materials Exploration by Integrating Automated Phase Identification and AI-Assisted Human Reasoning
- Wasserstein-p Central Limit Theorem Rates: From Local Dependence to Markov Chains
- Second-order Gaussian directional derivative representations for image high-resolution corner detection
- TabPFN Through The Looking Glass: An interpretability study of TabPFN and its internal representations
- Instruction-Driven 3D Facial Expression Generation and Transition
- CogniMap3D: Cognitive 3D Mapping and Rapid Retrieval
- Towards Cross-Platform Generalization: Domain Adaptive 3D Detection with Augmentation and Pseudo-Labeling
- Amortized Acquisition Optimization for Bayesian Optimization with Variational Mutual Information
- Relational Knowledge Distillation Using Fine-tuned Function Vectors
- ZeroDVFS: Zero-Shot LLM-Guided Core and Frequency Allocation for Embedded Platforms
- A Hardware-Algorithm Co-Designed Framework for HDR Imaging and Dehazing in Extreme Rocket Launch Environments
- Robust Subpixel Localization of Diagonal Markers in Large-Scale Navigation via Multi-Layer Screening and Adaptive Matching
- Instance-Aligned Captions for Explainable Video Anomaly Detection
- Dynamic Graph Structure Learning via Resistance Curvature Flow
- Enriching Semantic Profiles into Knowledge Graph for Recommender Systems Using Large Language Models
- Beyond Transfer Accuracy: Mechanism-Guided Controlled Adaptation for Low-Resource Languages
- Qalb: Largest State-of-the-Art Urdu Large Language Model for 230M Speakers with Systematic Continued Pre-training
- Hierarchical Online-Scheduling for Energy-Efficient Split Inference with Progressive Transmission
- How Do Optical Flow and Textual Prompts Collaborate to Assist in Audio-Visual Semantic Segmentation?
- Attention Projection Mixing with Exogenous Anchors
- Embedded AI Companion System on Edge Devices
- Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation
- How vehicles change lanes after encountering crashes: Empirical analysis and modeling
- Generalization Analysis and Method for Domain Generalization for a Family of Recurrent Neural Networks
- Intra-tree Column Subsampling Hinders XGBoost Learning of Ratio-like Interactions
- Structure Detection for Contextual Reinforcement Learning
- Learning a Stochastic Differential Equation Model of Tropical Cyclone Intensification from Reanalysis and Observational Data
- CSQL: Mapping Documents into Causal Databases
- High-Fidelity Modeling of Stochastic Chemical Dynamics on Complex Manifolds: A Multi-Scale SIREN-PINN Framework for the Curvature-Perturbed Ginzburg-Landau Equation
- Towards A Unified PAC-Bayesian Framework for Norm-based Generalization Bounds
- Local-Global Feature Fusion for Subject-Independent EEG Emotion Recognition