Papers
Thu 11 Sep 2025
261 papers
- DeepAries: Adaptive Rebalancing Interval Selection for Enhanced Portfolio SelectionDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation FrameworkMechanistic interpretability → Steering and probing for LLM safety
- Imagined AutocurriculaWorld models → World models for language agents
- Maximizing UAV Cellular Connectivity with Reinforcement Learning for BVLoS Path PlanningDeep reinforcement learning methods → RL for robot navigation and UAV control
- The Coding Limits of Robust Watermarking for Generative ModelsLLM safety and security → Watermarking generated content and models
- Gene-R1: Reasoning with Data-Augmented Lightweight LLMs for Gene Set AnalysisLLM reasoning → Clinical and biomedical applications
- Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive SurveyEnd-to-end autonomous driving → Large language models for driving
- MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Self-Augmented Robot Trajectory: Efficient Imitation Learning via Safe Self-augmentation with Demonstrator-annotated PrecisionOffline RL and imitation learning from data → Robot manipulation imitation learning
- Automated Tuning for Diffusion Inverse Problem Solvers without Generative Prior RetrainingDiffusion models → Inverse problems and image restoration
- Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented TasksLLM agents and tool use → Social simulation and multi-agent debate
- LLMs as Agentic Cooperative Players in Multiplayer UNOLLM agents and tool use → Reinforcement learning for LLM agents
- Latency and Token-Aware Test-Time ComputeLLM reasoning → Test-time compute and efficient thinking
- Off Policy Lyapunov Stability in Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- SWE-Effi: Re-Evaluating Software AI Agent System Effectiveness Under Resource ConstraintsLLM agents and tool use → Software engineering coding agents
- Towards an AI-based knowledge assistant for goat farmers based on Retrieval-Augmented GenerationRetrieval-augmented generation → Time series and agricultural RAG
- Dissecting Discrete Soft Actor-Critic: Limitations and Principled AlternativesDeep reinforcement learning methods → RL theory and sample complexity
- HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model ReasoningLLM reasoning → Test-time compute and efficient thinking
- Hybrid Adaptive Conformal Offline Reinforcement Learning for Fair Population Health ManagementOffline RL and imitation learning from data → Safe offline RL
- LAVa: Layer-wise KV Cache Eviction with Dynamic Budget AllocationEfficient LLM inference and serving → KV cache optimization
- Meta-Learning Reinforcement Learning for Crypto-Return PredictionDeep reinforcement learning methods → Adversarial robustness and RL in finance
- DiTReducio: A Training-Free Acceleration for DiT-Based TTS via Progressive CalibrationDiffusion models → Audio, speech and music
- FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive BenchmarkLLM reasoning → Multimodal reasoning
- CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language ModelsLLM reasoning → Reinforcement learning for reasoning
- SimpleVLA-RL: Scaling VLA Training via Reinforcement LearningVision-language-action models → Reinforcement learning and post-training
- Locality in Image Diffusion Models Emerges from Data StatisticsDiffusion models → Diffusion foundations and sampling
- Steering MoE LLMs via Expert (De)ActivationMixture-of-experts → Expert routing strategies +1
- Measuring Epistemic Humility in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Feasibility-Guided Fair Adaptive Offline Reinforcement Learning for Medicaid Care ManagementOffline RL and imitation learning from data → Safe offline RL
- Retrieval-Augmented Generation for Reliable Interpretation of Radio RegulationsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- DiFlow-TTS: Compact and Low-Latency Zero-Shot Text-to-Speech with Discrete Flow MatchingDiffusion models → Audio, speech and music
- Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Mechanistic Learning with Guided Diffusion Models to Predict Spatio-Temporal Brain Tumor GrowthDiffusion models → Medical imaging and segmentation
- Improving Video Diffusion Transformer Training by Multi-Feature Fusion and Alignment from Self-Supervised Vision EncodersDiffusion models → Video generation
- Compositional Concept Generalization with Variational Quantum CircuitsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Prompt Pirates Need a Map: Stealing Seeds helps Stealing PromptsDiffusion models → Robustness, privacy and adversarial aspects
- FlexiD-Fuse: Flexible number of inputs multi-modal medical image fusion based on diffusion modelDiffusion models → Medical imaging and segmentation
- Composable Score-based Graph Diffusion Model for Multi-Conditional Molecular GenerationDiffusion models → Flow matching, time series and science
- TORSO: Template-Oriented Reasoning Towards General TasksLLM reasoning → Prompting and chain-of-thought reasoning
- GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Decoupling Clinical and Class-Agnostic Features for Reliable Few-Shot Adaptation under ShiftMultimodal LLMs / vision-language models → Medical vision-language models
- LLMs Don't Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual ExplanationsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP ResearchLLM reasoning → Reasoning benchmarks and evaluation
- VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Plug-and-play Diffusion Models for Image Compressive Sensing with Data Consistency ProjectionDiffusion models → Inverse problems and image restoration
- MetaRAG: Metamorphic Testing for Hallucination Detection in RAG SystemsRetrieval-augmented generation → Hallucination detection in RAG
- Curriculum-Based Multi-Tier Semantic Exploration via Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Towards Adaptive ML Benchmarks: Web-Agent-Driven Construction, Domain Expansion, and Metric OptimizationLLM agents and tool use → Web, search, and research agents
- Image Recognition with Vision and Language Embeddings of VLMsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Can Multimodal LLMs See Materials Clearly? A Multimodal Benchmark on Materials CharacterizationMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- LightAgent: Production-level Open-source Agentic AI FrameworkLLM agents and tool use → General LLM agent frameworks and benchmarks
- Visual Programmability: A Guide for Code-as-Thought in Chart UnderstandingLLM reasoning → Multimodal reasoning +1
- Tree-OPO: Off-policy Monte Carlo Tree-Guided Advantage Optimization for Multistep ReasoningLLM reasoning → Reinforcement learning for reasoning
- Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- DATE: Dynamic Absolute Time Enhancement for Long Video UnderstandingLLM reasoning → Multimodal reasoning +1
- Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene ClassificationKnowledge distillation → Speech and audio distillation
- Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray AnalysisMultimodal LLMs / vision-language models → Medical vision-language models
- Agentic LLMs for Question Answering over Tabular DataLLM agents and tool use → Web, search, and research agents
- Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color RefinementDeep reinforcement learning methods → Deep RL algorithms and representations
- Enabling Regulatory Multi-Agent Collaboration: Architecture, Challenges, and SolutionsLLM agents and tool use → Agent threats, guardrails and governance
- Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- CCF: A Context Compression Framework for Efficient Long-Sequence Language ModelingEfficient LLM inference and serving → Prompt and context compression
- VQualA 2025 Challenge on Visual Quality Comparison for Large Multimodal Models: Methods and ResultsMultimodal LLMs / vision-language models → Image editing and quality assessment
- Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic TradingDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Adaptive Pareto-Optimal Token Merging for Edge Transformer Models in Semantic CommunicationEfficient LLM inference and serving → Early exit and edge inference
- Mind Meets Space: Rethinking Agentic Spatial Intelligence from a Neuroscience-inspired PerspectiveLLM reasoning → Spatial and embodied reasoning +1
- Compass-v3: Scaling Domain-Specific LLMs for Multilingual E-Commerce in Southeast AsiaMixture-of-experts → MoE large language models
- Character-Level Perturbations Disrupt LLM WatermarksLLM safety and security → Watermarking generated content and models
- LIPM-Guided Reinforcement Learning for Stable and Perceptive Locomotion in Bipedal RobotsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Towards Confidential and Efficient LLM Inference with Dual Privacy ProtectionEfficient LLM inference and serving → Early exit and edge inference
- SQAP-VLA: A Synergistic Quantization-Aware Pruning Framework for High-Performance Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation +1
- MR-UIE: Multi-Perspective Reasoning with Reinforcement Learning for Universal Information ExtractionLLM reasoning → Knowledge- and tool-augmented reasoning
- Strategic Tradeoffs Between Humans and AI in Multi-Agent BargainingLLM agents and tool use → Social simulation and multi-agent debate
- Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- LLM Architecture, Scaling Laws, and Economics: A Quick Summary
- Bitcoin Price Forecasting Based on Hybrid Variational Mode Decomposition and Long Short Term Memory Network
- Electric Vehicle Identification from Behind Smart Meter Data
- Pareto-optimal Trade-offs Between Communication and Computation with Flexible Gradient Tracking
- Accounting for Uncertainty in Machine Learning Surrogates: A Gauss-Hermite Quadrature Approach to Reliability Analysis
- Anomaly Detection in Electric Vehicle Charging Stations Using Federated Learning
- mRadNet: A Compact Radar Object Detector with MetaFormer
- Evaluation of Ensemble Learning Techniques for handwritten OCR Improvement
- Hallucination Detection with the Internal Layers of LLMs
- CrossPT: Exploring Cross-Task Transferability through Multi-Task Prompt Tuning
- LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures
- Unified Crew Planning and Replanning Optimization in Multi-Line Metro Systems Considering Workforce Heterogeneity
- Position: AI Safety Must Embrace an Antifragile Perspective
- Proximity-Based Evidence Retrieval for Uncertainty-Aware Neural Networks
- Modular, On-Site Solutions with Lightweight Anomaly Detection for Sustainable Nutrient Management in Agriculture
- LearnLens: An AI-Enhanced Dashboard to Support Teachers in Open-Ended Classrooms
- Aesthetic Experience and Educational Value in Co-creating Art with Generative AI: Evidence from a Survey of Young Learners
- Quality Assessment of Tabular Data using Large Language Models and Code Generation
- Variational Neural Networks for Observable Thermodynamics (V-NOTS)
- Physics-Aware Neural Operators for Direct Inversion in 3D Photoacoustic Tomography
- Data-driven approximation of transfer operators for mean-field stochastic differential equations
- From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem
- Emulating Public Opinion: A Proof-of-Concept of AI-Generated Synthetic Survey Responses for the Chilean Case
- Surrogate Supervision for Robust and Generalizable Deformable Image Registration
- WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector
All 261
- An Information-Theoretic Framework for Credit Risk Modeling: Unifying Industry Practice with Statistical Theory for Fair and Interpretable Scorecards
- Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization
- Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking
- Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection
- HGEN: Heterogeneous Graph Ensemble Networks
- Patch-based Automatic Rosacea Detection Using the ResNet Deep Learning Framework
- CoDiCodec: Unifying Continuous and Discrete Compressed Representations of Audio
- DGFusion: Depth-Guided Sensor Fusion for Robust Semantic Perception
- SoilSound: Smartphone-based Soil Moisture Estimation
- Towards a Common Framework for Autoformalization
- Early Detection of Visual Impairments at Home Using a Smartphone Red-Eye Reflex Test
- Pragmatic Frames Evoked by Gestures: A FrameNet Brasil Approach to Multimodality in Turn Organization
- Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation
- Distinguishing Startle from Surprise Events Based on Physiological Signals
- Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity
- From the Gradient-Step Denoiser to the Proximal Denoiser and their associated convergent Plug-and-Play algorithms
- Loc2: Interpretable Cross-View Localization via Depth-Lifted Local Feature Matching
- How well can LLMs provide planning feedback in grounded environments?
- ZORRO: Zero-Knowledge Robustness and Privacy for Split Learning (Full Version)
- Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token Purging
- One Head, Many Models: Cross-Attention Routing for Cost-Aware LLM Selection
- Executable Ontologies: Synthesizing Event Semantics with Dataflow Architecture
- A Co-Training Semi-Supervised Framework Using Faster R-CNN and YOLO Networks for Object Detection in Densely Packed Retail Images
- D-CAT: Decoupled Cross-Attention Transfer between Sensor Modalities for Unimodal Inference
- Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-efficient Psychiatric Diagnosis
- Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning
- ButterflyQuant: Ultra-low-bit LLM Quantization through Learnable Orthogonal Butterfly Transforms
- The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs
- SpatialVID: A Large-Scale Video Dataset with Spatial Annotations
- Dexplore: Scalable Neural Control for Dexterous Manipulation from Reference-Scoped Exploration
- Geometric Neural Distance Fields for Learning Human Motion Priors
- Unified Multimodal Models as Auto-Encoders
- All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens
- Functional Groups are All you Need for Chemically Interpretable Molecular Property Prediction
- Explaining Concept Drift through the Evolution of Group Counterfactuals
- LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering
- ReBaNO: Reduced Basis Neural Operator Mitigating Generalization Gaps and Achieving Discretization Invariance
- LAVA: Language Model Assisted Verbal Autopsy for Cause-of-Death Determination
- Conditioning on PDE Parameters to Generalise Deep Learning Emulation of Stochastic and Chaotic Dynamics
- Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication
- Kling-Avatar: Grounding Multimodal Instructions for Cascaded Long-Duration Avatar Animation Synthesis
- ObjectReact: Learning Object-Relative Control for Visual Navigation
- Fluent but Unfeeling: The Emotional Blind Spots of Language Models
- Visual Grounding from Event Cameras
- Personality-Enhanced Social Recommendations in SAMI: Exploring the Role of Personality Detection in Matchmaking
- PeftCD: Leveraging Vision Foundation Models with Parameter-Efficient Fine-Tuning for Remote Sensing Change Detection
- What Does Normal Even Mean? Evaluating Benign Traffic in Intrusion Detection Datasets
- Boosting Embodied AI Agents through Perception-Generation Disaggregation and Asynchronous Pipeline Execution
- Invisible Attributes, Visible Biases: Exploring Demographic Shortcuts in MRI-based Alzheimer's Disease Classification
- InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation
- An improved educational competition optimizer with multi-covariance learning operators for global optimization problems
- Finite Scalar Quantization Enables Redundant and Transmission-Robust Neural Audio Compression at Low Bit-rates
- MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025)
- ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning
- DualTrack: Sensorless 3D Ultrasound needs Local and Global Context
- A modified RIME algorithm with covariance learning and diversity enhancement for numerical optimization
- Generative Diffusion Contrastive Network for Multi-View Clustering
- DeMeVa at LeWiDi-2025: Modeling Perspectives with In-Context Learning and Label Distribution Learning
- Towards Explainable Job Title Matching: Leveraging Semantic Textual Relatedness and Knowledge Graphs
- Cough Classification using Few-Shot Learning
- Reduced NEXI protocol for the quantification of human gray matter microstructure on the Connectome 2.0 scanner
- PIPES: A Meta-dataset of Machine Learning Pipelines
- Incorporating AI incident reporting into telecommunications law and policy: Insights from India
- Region-Wise Correspondence Prediction between Manga Line Art Images
- SEDM: Selective Self-Evolving Distributed Memory for Agents
- Improving Human Motion Plausibility with Body Momentum
- OpenFake: An Open Dataset and Platform Toward Real-World Deepfake Detection
- In-Loop Filtering Using Learned Look-Up Tables for Video Coding
- Balancing Utility and Privacy: Dynamically Private SGD with Random Projection
- Database Views as Explanations for Relational Deep Learning
- CountTRuCoLa: Rule Learning for Interpretable Temporal Knowledge Graph Forecasting
- Mitigating Language Barriers in Education: Developing Multilingual Digital Learning Materials with Machine Translation
- AEGIS: An Agent for Extraction and Geographic Identification in Scholarly Proceedings
- Resource-Efficient Glioma Segmentation on Sub-Saharan MRI
- Inteligencia Artificial jur'idica y el desaf'io de la veracidad: an'alisis de alucinaciones, optimizaci'on de RAG y principios para una integraci'on responsable
- AquaCast: Urban Water Dynamics Forecasting with Precipitation-Informed Multi-Input Transformer
- Semantic Concentration for Self-Supervised Dense Representations Learning
- FS-Diff: Semantic guidance and clarity-aware simultaneous multimodal image fusion and super-resolution
- ENSI: Efficient Non-Interactive Secure Inference for Large Language Models
- We're Still Doing It (All) Wrong: Recommender Systems, Fifteen Years Later
- Fused Lasso Improves Accuracy of Co-occurrence Network Inference in Grouped Samples
- Kriging prior Regression: A Case for Kriging-Based Spatial Features with TabPFN in Soil Mapping
- Hierarchical Bracketing Encodings Work for Dependency Graphs
- MetaLLMix : An XAI Aided LLM-Meta-learning Based Approach for Hyper-parameters Optimization
- Robust Non-Linear Correlations via Polynomial Regression
- Unsupervised Integrated-Circuit Defect Segmentation via Image-Intrinsic Normality
- Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework
- A Fully Automatic Framework for Intracranial Pressure Grading: Integrating Keyframe Identification, ONSD Measurement and Clinical Data
- Expressive Power of Deep Networks on Manifolds: Simultaneous Approximation
- Low-degree lower bounds via almost orthonormal bases
- Texture-aware Intrinsic Image Decomposition with Model- and Learning-based Priors
- Classification of Driver Behaviour Using External Observation Techniques for Autonomous Vehicles
- MoSE: Unveiling Structural Patterns in Graphs via Mixture of Subgraph Experts
- Exploring Pre-training Across Domains for Few-Shot Surgical Skill Assessment
- Fine-Grained Customized Fashion Design with Image-into-Prompt benchmark and dataset from LMM
- Measuring Implicit Spatial Coordination in Teams: Effects on Collective Intelligence and Performance
- Explaining Tournament Solutions with Minimal Supports
- You Share Beliefs, I Adapt: Progressive Heterogeneous Collaborative Perception
- From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models
- Learning Object-Centric Representations in SAR Images with Multi-Level Feature Fusion
- Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception
- Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training
- Data-Driven Discovery of Emergent Dynamics in Reaction-Diffusion Systems from Sparse and Noisy Observations
- Fusing Knowledge and Language: A Comparative Study of Knowledge Graph-Based Question Answering with LLMs
- Unified Start, Personalized End: Progressive Pruning for Efficient 3D Medical Image Segmentation
- Unsupervised Multi-Attention Meta Transformer for Rotating Machinery Fault Diagnosis
- Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
- CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification
- Global Optimization of Stochastic Black-Box Functions with Arbitrary Noise Distributions using Wilson Score Kernel Density Estimation
- Virtual staining for 3D X-ray histology of bone implants
- Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement
- Reading Between the Lines: Classifying Resume Seniority with Large Language Models
- Dynamic Structural Recovery Parameters Enhance Prediction of Visual Outcomes After Macular Hole Surgery
- Constructing a Question-Answering Simulator through the Distillation of LLMs
- Identifying Key Features for Establishing Sustainable Agro-Tourism Centre: A Data Driven Approach
- ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting
- Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems
- MGTraj: Multi-Granularity Goal-Guided Human Trajectory Prediction with Recursive Refinement Network
- GmSLM : Generative Marmoset Spoken Language Modeling
- Improving Synthetic Data Training for Contextual Biasing Models with a Keyword-Aware Cost Function
- Efficient Trie-based Biasing using K-step Prediction for Rare Word Recognition
- Breaking the Statistical Similarity Trap in Extreme Convection Detection
- On Integrating Large Language Models and Scenario-Based Programming for Improving Software Reliability
- ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction?
- Dark-ISP: Enhancing RAW Image Processing for Low-Light Object Detection
- Clip Your Sequences Fairly: Enforcing Length Fairness for Sequence-Level RL
- EchoX: Towards Mitigating Acoustic-Semantic Gap via Echo Training for Speech-to-Speech LLMs
- Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios
- CWSSNet: Hyperspectral Image Classification Enhanced by Wavelet Domain Convolution
- Target-oriented Multimodal Sentiment Classification with Counterfactual-enhanced Debiasing
- A Knowledge Noise Mitigation Framework for Knowledge-based Visual Question Answering
- RT-DETR++ for UAV Object Detection
- HISPASpoof: A New Dataset For Spanish Speech Forensics
- OCELOT 2023: Cell Detection from Cell-Tissue Interaction Challenge
- LITcoder: A General-Purpose Library for Building and Comparing Encoding Models
- Video Understanding by Design: How Datasets Shape Video Models
- Peering Partner Recommendation for ISPs using Machine Learning
- Objectness Similarity: Capturing Object-Level Fidelity in 3D Scene Evaluation
- Noise-Robust Topology Estimation of 2D Image Data via Neural Networks and Persistent Homology
- Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
- ViRanker: A BGE-M3 & Blockwise Parallel Transformer Cross-Encoder for Vietnamese Reranking
- ALL-PET: A Low-resource and Low-shot PET Foundation Model in Projection Domain
- Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction
- Anti-Money Laundering Machine Learning Pipelines; A Technical Analysis on Identifying High-risk Bank Clients with Supervised Learning
- Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus
- Sensitivity-LoRA: Low-Load Sensitivity-Based Fine-Tuning for Large Language Models
- Gradient-Attention Guided Dual-Masking Synergetic Framework for Robust Text-based Person Retrieval
- Zero-shot Hierarchical Plant Segmentation via Foundation Segmentation Models and Text-to-image Attention
- FPI-Det: a face--phone Interaction Dataset for phone-use detection and understanding
- S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization
- CryptGNN: Enabling Secure Inference for Graph Neural Networks
- TigerCoder: A Novel Suite of LLMs for Code Generation in Bangla
- DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models
- An entropy formula for the Deep Linear Network
- IRDFusion: Iterative Relation-Map Difference guided Feature Fusion for Multispectral Object Detection
- Scalable extensions to given-data Sobol' index estimators
- KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning
- "A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and Explanations
- STRIDE: Subset-Free Functional Decomposition for XAI in Tabular Settings
- Improvement of Human-Object Interaction Action Recognition Using Scene Information and Multi-Task Learning Approach
- Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users