Papers
Mon 13 Oct 2025
471 papers
- Flows, straight but not so fast: Exploring the design space of Rectified Flows in Protein DesignDiffusion models → Flow matching, time series and science
- Proportion and Perspective Control for Flow-Based Image GenerationDiffusion models → Image generation, text-to-image and editing
- Pre to Post-Treatment Glioblastoma MRI Prediction using a Latent Diffusion ModelDiffusion models → Medical imaging and segmentation
- AlgoTrace: Algorithmic Primitives and Compositional Geometry of Reasoning in Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Cog-Rethinker: Hierarchical Metacognitive Reinforcement Learning for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective OptimizationLLM safety and security → Watermarking generated content and models
- Generative AI for Biosciences: Emerging Threats and Roadmap to BiosecurityLLM safety and security → Prompt injection and agent security
- Catch Your Breath: Adaptive Computation for Self-Paced Sequence ProductionLLM reasoning → Test-time compute and efficient thinking
- TextBandit: Evaluating Probabilistic Reasoning in LLMs Through Language-Only Decision TasksLLM reasoning → Test-time compute and efficient thinking
- What Layers When: Learning to Skip Compute in LLMs with Residual GatesEfficient LLM inference and serving → Early exit and edge inference
- Unlocking the Potential of Diffusion Language Models through Template InfillingDiffusion models → Discrete and text diffusion
- A2FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Embedding the Teacher: Distilling vLLM Preferences for Scalable Image RetrievalLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- UALM: Unified Audio Language Model for Understanding, Generation and ReasoningLLM reasoning → Audio-language model reasoning
- Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation ReasoningLLM reasoning → Spatial and embodied reasoning
- Conjecturing: An Overlooked Step in Formal Mathematical ReasoningLLM reasoning → Mathematical reasoning
- CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics ResearchLLM reasoning → Clinical and biomedical applications
- Learning Dynamics of VLM FinetuningLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- CTIConnect: A Benchmark for Retrieval-Augmented LLMs over Heterogeneous Cyber Threat IntelligenceRetrieval-augmented generation → Privacy and security of RAG
- Scaling Long-Horizon LLM Agent via Context-FoldingLLM agents and tool use → Agent memory systems
- Normalization-equivariant Diffusion Models: Learning Posterior Samplers From Noisy And Partial MeasurementsDiffusion models → Inverse problems and image restoration
- MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining DynamicsDiffusion models → Diffusion foundations and sampling
- Investigating Retrieval-Augmented Generation Systems on Unanswerable, Uncheatable, Realistic, Multi-hop QueriesRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless ClustersEfficient LLM inference and serving → Serving systems and request scheduling
- LLM Reasoning for Machine Translation: Synthetic Data Generation over Thinking TokensLLM reasoning → Reasoning benchmarks and evaluation
- A Longitudinal Study on Different Annotator Feedback Loops in Complex RAG TasksRetrieval-augmented generation → Conversational and speech RAG
- R-WoM: Retrieval-augmented World Model For Computer-use AgentsWorld models → World models for language agents +2
- Robust Adversarial Reinforcement Learning in Stochastic Games via Sequence ModelingOffline RL and imitation learning from data → Decision transformers and sequence modeling
- DMAS-Forge: A Framework for Transparent Deployment of AI Applications as Distributed SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Evaluating Open-Source Vision-Language Models for Multimodal Sarcasm DetectionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Deep Research Agents Brings Deeper HarmLLM agents and tool use → Agent threats, guardrails and governance
- Balancing Synthetic Data and Replay for Enhancing Task-Specific CapabilitiesSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Lingxi: Repository-Level Issue Resolution Framework Enhanced by Procedural Knowledge Guided ScalingLLM agents and tool use → Software engineering coding agents
- Countermind: A Multi-Layered Security Architecture for Large Language ModelsLLM safety and security → Jailbreaking
- Data or Language Supervision: What Makes CLIP Better than DINO?Multimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- BlackIce: A Containerized Red Teaming Toolkit for AI Security TestingLLM safety and security → Prompt injection and agent security
- AwareCompiler: Agentic Context-Aware Compiler Optimization via a Synergistic Knowledge-Data Driven FrameworkLLM agents and tool use → Software engineering coding agents
- CodePlot-CoT: Mathematical Visual Reasoning by Thinking with Code-Driven ImagesLLM reasoning → Multimodal reasoning +1
- Point Prompting: Counterfactual Tracking with Video Diffusion ModelsDiffusion models → Video generation
- Are Large Reasoning Models Interruptible?LLM reasoning → Test-time compute and efficient thinking
- Demystifying Reinforcement Learning in Agentic ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- When Agents Trade: Live Multi-Market Trading Benchmark for LLM AgentsLLM agents and tool use → Financial trading and forecasting agents
- Scaling Language-Centric Omnimodal Representation LearningMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Diffusion Transformers with Representation AutoencodersDiffusion models → Diffusion foundations and sampling
- Ego-Vision World Model for Humanoid Contact PlanningWorld models → Humanoid and legged locomotion world models
- SR-Scientist: Scientific Equation Discovery With Agentic AILLM agents and tool use → Web, search, and research agents
- ManiAgent: An Agentic Framework for General Robotic ManipulationVision-language-action models → Failure recovery and robustness +1
- FinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation DetectionRetrieval-augmented generation → Legal and financial RAG
- MATH-Beyond: A Benchmark for RL to Expand Beyond the Base ModelLLM reasoning → Reinforcement learning for reasoning
- ACADREASON: Exploring the Limits of Reasoning Models with Academic Research ProblemsLLM reasoning → Reasoning benchmarks and evaluation
- OneRec-Think: In-Text Reasoning for Generative RecommendationLLM reasoning → LLM reasoning for recommendation
- Enhancing Long Chain-of-Thought Reasoning through Multi-Path Plan AggregationLLM reasoning → Prompting and chain-of-thought reasoning
- ParaCook: On Time-Efficient Planning for Multi-Agent SystemsLLM reasoning → Reasoning for agents, planning and code +1
- ExpVid: A Benchmark for Experiment Video Understanding & ReasoningLLM reasoning → Multimodal reasoning +1
- Diffusion-DFL: Decision-focused Diffusion Models for Stochastic OptimizationDiffusion models → Diffusion foundations and sampling
- Analyzing and Internalizing Complex Policy Documents for LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Strong but Brittle: Simple Attacks Subvert Reasoning-based Safety GuardrailsLLM reasoning → Reasoning for agents, planning and code +1
- Zero Data Retention in LLM-based Enterprise AI Assistants: A Comparative Study of Market Leading Agentic AI ProductsLLM agents and tool use → Web, search, and research agents
- Information-Preserving Reformulation of Reasoning Traces for AntidistillationLLM reasoning → Prompting and chain-of-thought reasoning
- Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Massive Activations are the Key to Local Detail Synthesis in Diffusion TransformersDiffusion models → Image generation, text-to-image and editing
- Hallucination Detection via Internal States and Structured Reasoning Consistency in Large Language ModelsLLM reasoning → Hallucination detection and mitigation
- LikePhys: Evaluating Intuitive Physics Understanding in Video Diffusion Models via Likelihood PreferenceDiffusion models → Video generation
- Situat3DChange: Situated 3D Change Understanding Dataset for Multimodal Large Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Learning to Make MISTAKEs: Modeling Incorrect Student Thinking And Key ErrorsLLM reasoning → Mathematical reasoning
- Offline Reinforcement Learning with Generative Trajectory PoliciesDiffusion models → Diffusion and flow policies for robotics +1
- ReLook: Vision-Grounded RL with a Multimodal LLM Critic for Agentic Web CodingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- AndesVL Technical Report: An Efficient Mobile-side Multimodal Large Language ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Uncertainty Quantification for Retrieval-Augmented ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion ModelLLM reasoning → Knowledge- and tool-augmented reasoning +1
- From <Answer> to <Think>: Multidimensional Supervision of Reasoning Process for LLM OptimizationLLM reasoning → Reinforcement learning for reasoning
- Audio-Maestro: Enhancing Large Audio-Language Models with Tool-Augmented ReasoningLLM reasoning → Audio-language model reasoning +1
- Robust Ego-Exo Correspondence with Long-Term MemoryMixture-of-experts → Vision mixture-of-experts
- Uncertainty-Aware, Risk-Adaptive Access Control for Agentic Systems using an LLM-Judged TBAC ModelLLM agents and tool use → Agent threats, guardrails and governance
- Autonomous vehicles need social awareness to find optima in multi-agent reinforcement learning routing gamesEnd-to-end autonomous driving → Cooperative and V2X driving
- VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous VerificationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- DocReward: A Document Reward Model for Structuring and StylizingLLM agents and tool use → Web, search, and research agents +1
- Stabilizing MoE Reinforcement Learning by Aligning Training and Inference RoutersMixture-of-experts → MoE in reinforcement learning and robotics
- Reasoning as Representation: Rethinking Visual Reinforcement Learning in Image Quality AssessmentLLM reasoning → Multimodal reasoning
- LLM-Specific Utility for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Part II: ROLL Flash -- Accelerating RLVR and Agentic Training with AsynchronyLLM agents and tool use → Reinforcement learning for LLM agents
- InternSVG: Towards Unified SVG Tasks with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- DiffStyleTS: Diffusion Model for Style Transfer in Time SeriesDiffusion models → Image generation, text-to-image and editing
- Diffusion-Link: Diffusion Probabilistic Model for Bridging the Audio-Text Modality GapDiffusion models → Audio, speech and music
- FOSSIL: Harnessing Feedback on Suboptimal Samples for Data-Efficient Generalisation with Imitation Learning for Embodied Vision-and-Language TasksOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- When Does Supervised Training Pay Off? The Hidden Economics of Object Detection in the Era of Vision-Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Delta Energy: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD GeneralizationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- LouisKV: Efficient KV Cache Retrieval for Long Input-Output SequencesEfficient LLM inference and serving → KV cache optimization
- Evolution in Simulation: AI-Agent School with Dual Memory for High-Fidelity Educational DynamicsLLM agents and tool use → Educational agents and math problem solving
- ENIGMA: The Geometry of Reasoning and Alignment in Large-Language ModelsLLM reasoning → Test-time compute and efficient thinking +1
- CLASP: Training-Free LLM-Assisted Source Code Watermarking via Semantic-Preserving TransformationsLLM safety and security → Watermarking generated content and models
- Collaborative Shadows: Distributed Backdoor Attacks in LLM-Based Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance +1
- XQuant: Achieving Ultra-Low Bit KV Cache Quantization with Cross-Layer CompressionEfficient LLM inference and serving → KV cache quantization
- WebRouter: Query-specific Router via Variational Information Bottleneck for Cost-sensitive Web AgentLLM agents and tool use → General LLM agent frameworks and benchmarks
- Domain-Specific Data Generation Framework for RAG AdaptationLLM reasoning → Knowledge- and tool-augmented reasoning +1
- CSI Prediction Using Diffusion ModelsDiffusion models → Diffusion for compression and wireless
- TraceAegis: Securing LLM-Based Agents via Hierarchical and Behavioral Anomaly DetectionLLM agents and tool use → Agent threats, guardrails and governance
- Evaluating Reasoning Faithfulness in Medical Vision-Language Models using Multimodal PerturbationsLLM reasoning → Clinical and biomedical applications +1
All 471
- RAG-Pull: Turning Retrieval into a Code-Injection Channel via Invisible Unicode PerturbationsRetrieval-augmented generation → Privacy and security of RAG +1
- Aligning Deep Implicit Preferences by Learning to Reason DefensivelyLLM reasoning → Reinforcement learning for reasoning +1
- FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- Reinforcement Learning for Tool-Integrated Interleaved Thinking towards Cross-Domain GeneralizationLLM reasoning → Reasoning for agents, planning and code
- BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- CoPRS: Learning Positional Prior from Chain-of-Thought for Reasoning SegmentationLLM reasoning → Multimodal reasoning
- EAGer: Entropy-Aware GEneRation for Adaptive Inference-Time ScalingLLM reasoning → Test-time compute and efficient thinking
- Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search RelevanceRetrieval-augmented generation → Agentic RAG, agents and memory
- Demystifying Numerosity in Diffusion Models -- Limitations and RemediesDiffusion models → Image generation, text-to-image and editing
- Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- A Vision for Access Control in LLM-based Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Enhancing LLM Reasoning via Non-Human-Like Reasoning Path Preference OptimizationLLM reasoning → Test-time compute and efficient thinking +1
- VCB Bench: An Evaluation Benchmark for Audio-Grounded Large Language Model Conversational AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- CoDefend: Cross-Modal Collaborative Defense via Diffusion Purification and Prompt OptimizationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene EvolutionEnd-to-end autonomous driving → Generative simulation for driving
- Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior ModelingDiffusion models → Diffusion and flow policies for robotics +1
- DebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming EducationLLM agents and tool use → Software engineering coding agents
- Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMsLLM reasoning → Reinforcement learning for reasoning +1
- Robust Photoplethysmography Signal Denoising via Mamba NetworksState-space sequence models (S4, Mamba) → Physiological signal modeling
- Temporal Alignment Guidance: On-Manifold Sampling in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- From Reasoning LLMs to BERT: A Two-Stage Distillation Framework for Search RelevanceLLM reasoning → Knowledge- and tool-augmented reasoning
- Zero-shot Face Editing via ID-Attribute Decoupled InversionDiffusion models → Image generation, text-to-image and editing
- SusBench: An Online Benchmark for Evaluating Dark Pattern Susceptibility of Computer-Use AgentsLLM agents and tool use → Agent threats, guardrails and governance
- LogiNumSynth: Synthesizing Joint Logical-Numerical Reasoning Problems for Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Vlaser: Vision-Language-Action Model with Synergistic Embodied ReasoningLLM reasoning → Spatial and embodied reasoning +2
- GIR-Bench: Versatile Benchmark for Generating Images with ReasoningLLM reasoning → Multimodal reasoning
- GeoVLMath: Enhancing Geometry Reasoning in Vision-Language Models via Cross-Modal Reward for Auxiliary Line CreationLLM reasoning → Spatial and embodied reasoning +2
- High-Resolution Spatiotemporal Modeling with Global-Local State Space Models for Video-Based Human Pose EstimationState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision Language ModelsLLM reasoning → Multimodal reasoning +1
- Automating Structural Engineering Workflows with Large Language Model AgentsLLM agents and tool use → Multimodal and embodied agents
- DND: Boosting Large Language Models with Dynamic Nested DepthMixture-of-experts → MoE large language models
- ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance GenerationDiffusion models → Image generation, text-to-image and editing
- Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for SafetyLLM safety and security → Safety alignment, refusal and guardrails
- Perspective-aware 3D Gaussian Inpainting with Multi-view ConsistencyDiffusion models → 3D, point cloud and scene generation
- A Survey on Agentic Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- DITTO: A Spoofing Attack Framework on Watermarked LLMs via Knowledge DistillationLLM safety and security → Watermarking generated content and models
- Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based RecommendersLLM reasoning → LLM reasoning for recommendation
- Revisiting Model Interpolation for Efficient ReasoningLLM reasoning → Test-time compute and efficient thinking
- Video-STR: Reinforcing MLLMs in Video Spatio-Temporal Reasoning with Relation GraphLLM reasoning → Spatial and embodied reasoning +1
- RoVer: Robot Reward Model as Test-Time Verifier for Vision-Language-Action ModelLLM reasoning → Spatial and embodied reasoning +1
- Enhancing Large Language Model Reasoning via Selective Critical Token Fine-TuningLLM reasoning → Test-time compute and efficient thinking
- Chart-RVR: Reinforcement Learning with Verifiable Rewards for Explainable Chart ReasoningLLM reasoning → Multimodal reasoning +1
- Bringing The Consistency Gap: Explicit Structured Memory for Interleaved Image-Text GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Blade: A Derivative-free Bayesian Inversion Method using Diffusion PriorsDiffusion models → Inverse problems and image restoration
- Judge Before Answer: Can MLLM Discern the False Premise in Question?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Not All Bits Are Equal: Scale-Dependent Memory Optimization Strategies for Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking +1
- APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal TransportLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- MC#: Mixture Compressor for Mixture-of-Experts Large ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Game-Theoretic Risk-Shaped Reinforcement Learning for Safe Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Revisiting Entropy Regularization: Adaptive Coefficient Unlocks Its Potential for LLM Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- The Social Cost of Intelligence: Emergence, Propagation, and Amplification of Stereotypical Bias in Multi-Agent SystemsLLM agents and tool use → Social simulation and multi-agent debate
- DropVLA: An Action-Level Backdoor Attack on Vision-Language-Action ModelsVision-language-action models → Safety and adversarial attacks +1
- Proof-of-Use: Mitigating Tool-Call Hacking in Deep Research AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Evaluating Language Models' Evaluations of GamesLLM reasoning → Reasoning for agents, planning and code
- Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher DistillationSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- DreamMakeup: Face Makeup Customization using Latent Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- More than A Point: Capturing Uncertainty with Adaptive Affordance Heatmaps for Spatial Grounding in Robotic TasksLLM reasoning → Spatial and embodied reasoning
- SceneTextStylizer: A Training-Free Scene Text Style Transfer Framework with Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific LiteratureLLM reasoning → Reasoning for agents, planning and code +1
- LLM-Empowered Agentic MAC Protocols: A Dynamic Stackelberg Game ApproachLLM agents and tool use → Reinforcement learning for LLM agents
- LLM×MapReduce-V3: Enabling Interactive In-Depth Survey Generation through a MCP-Driven Hierarchically Modular Agent SystemLLM agents and tool use → Web, search, and research agents
- Topological Alignment of Shared Vision-Language Embedding SpaceMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Rethinking Agentic Workflows: Evaluating Inference-Based Test-Time Scaling Strategies in Text2SQL TasksLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Where on Earth? A Vision-Language Benchmark for Probing Model Geolocation Skills Across ScalesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- GRIP: A Unified Framework for Grid-Based Relay and Co-Occurrence-Aware Planning in Dynamic EnvironmentsLLM reasoning → Spatial and embodied reasoning
- PESTalk: Speech-Driven 3D Facial Animation with Personalized Emotional Styles
- Decoding non-invasive brain activity with novel deep-learning approaches
- A Multi-lingual Dataset of Classified Paragraphs from Open Access Scientific Publications
- J-ORA: A Framework and Multimodal Dataset for Japanese Object Identification, Reference, Action Prediction in Robot Perception
- Neural networks for neurocomputing circuits: a computational study of tolerance to noise and activation function non-uniformity when machine learning materials properties
- User Profiles of Sleep Disorder Sufferers: Towards Explainable Clustering and Differential Variable Analysis
- MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
- Ontologies in Motion: A BFO-Based Approach to Knowledge Graph Construction for Motor Performance Research Data in Sports Science
- AMiD: Knowledge Distillation for LLMs with α-mixture Assistant Distribution
- ProofFlow: A Dependency Graph Approach to Faithful Proof Autoformalization
- Cognitive Load Traces as Symbolic and Visual Accounts of Deep Model Cognition
- DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
- Bolster Hallucination Detection via Prompt-Guided Data Augmentation
- PAGE: Prompt Augmentation for text Generation Enhancement
- FRACCO: A gold-standard annotated corpus of oncological entities with ICD-O-3.1 normalisation
- Scalable Energy-Based Models via Adversarial Training: Unifying Discrimination and Generation
- Quechua Speech Datasets in Common Voice: The Case of Puno Quechua
- CoLoR-GAN: Continual Few-Shot Learning with Low-Rank Adaptation in Generative Adversarial Networks
- DeepMartingale: Duality of the Optimal Stopping Problem with Expressivity and High-Dimensional Hedging
- An Overview of the JPEG AI Learning-Based Image Coding Standard
- FFT-Accelerated Auxiliary Variable MCMC for Fermionic Lattice Models: A Determinant-Free Approach with O(Nlog N) Complexity
- Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning
- Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation
- Ensembling Large Language Models to Characterize Affective Dynamics in Student-AI Tutor Dialogues
- ShishuLM : Achieving Optimal and Efficient Parameterization with Low Attention Transformer Models
- Benchmarking Correctness and Security in Multi-Turn Code Generation
- Local Timescale Gates for Timescale-Robust Continual Spiking Neural Networks
- Protenix-Mini+: efficient structure prediction model with scalable pairformer
- FaStfact: Faster, Stronger Long-Form Factuality Evaluations in LLMs
- Semantic knowledge guides innovation and drives cultural evolution
- Repurposing Annotation Guidelines to Instruct LLM Annotators: A Case Study
- Gelina: Unified Speech and Gesture Synthesis via Interleaved Token Prediction
- Coherent Load Profile Synthesis with Conditional Diffusion for LV Distribution Network Scenario Generation
- Evaluating the Explainability of Vision Transformers in Medical Imaging
- Asking Clarifying Questions for Preference Elicitation With Large Language Models
- Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
- Generate Logical Equivalence Questions
- SAGE: A Top-Down Bottom-Up Knowledge-Grounded User Simulator for Multi-turn AGent Evaluation
- PanoTPS-Net: Panoramic Room Layout Estimation via Thin Plate Spline Transformation
- Nonlinear discretizations and Newton's method: characterizing stationary points of regression objectives
- Learning by Steering the Neural Dynamics: A Statistical Mechanics Perspective
- QLENS: Towards A Quantum Perspective of Language Transformers
- Direct Multi-Token Decoding
- Y-Shaped Generative Flows
- Sculpting Latent Spaces With MMD: Disentanglement With Programmable Priors
- GRAVITY: A Framework for Personalized Text Generation via Profile-Grounded Synthetic Preferences
- TopoAlign: A Framework for Aligning Code to Math via Topological Decomposition
- On efficiently computable functions, deep networks and sparse compositionality
- Efficient Restarts in Non-Stationary Model-Free Reinforcement Learning
- Discrepancy Detection at the Data Level: Toward Consistent Multilingual Question Answering
- Indoor Localization using Compact, Telemetry-Agnostic, Transfer-Learning Enabled Decoder-Only Transformer
- Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets
- Enhancing Diffusion-Based Sampling with Molecular Collective Variables
- Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks
- Simplifying Optimal Transport through Schatten-p Regularization
- Task-Specific Dual-Model Framework for Comprehensive Traffic Safety Video Description and Analysis
- LLM Knowledge is Brittle: Truthfulness Representations Rely on Superficial Resemblance
- Integrating Sequential and Relational Modeling for User Events: Datasets and Prediction Tasks
- ADARL: Adaptive Low-Rank Structures for Robust Policy Learning under Uncertainty
- High-Probability Bounds For Heterogeneous Local Differential Privacy
- MammoDINO: Anatomically Aware Self-Supervision for Mammographic Images
- GS-Verse: Mesh-based Gaussian Splatting for Physics-aware Interaction in Virtual Reality
- Active Subspaces in Infinite Dimension
- Improving Knowledge Graph Embeddings through Contrastive Learning with Negative Statements
- Actor-Enriched Time Series Forecasting of Process Performance
- Contrastive Dimension Reduction: A Systematic Review
- WaveletDiff: Multilevel Wavelet Diffusion For Time Series Generation
- Don't Walk the Line: Boundary Guidance for Filtered Generation
- Z0-Inf: Zeroth Order Approximation for Data Influence
- Schr"odinger bridge for generative AI: Soft-constrained formulation and convergence analysis
- Combining Euclidean and Hyperbolic Representations for Node-level Anomaly Detection
- Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
- Beyond Consensus: Mitigating the Agreeableness Bias in LLM Judge Evaluations
- Enhancing the Quality of 3D Lunar Maps Using JAXA's Kaguya Imagery
- Task-Aware Reduction for Scalable LLM-Database Systems
- PHANTOM RECALL: When Familiar Puzzles Fool Smart Models
- On Thompson Sampling and Bilateral Uncertainty in Additive Bayesian Optimization
- Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
- GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving
- Audio-Guided Visual Perception for Audio-Visual Navigation
- The Adoption Paradox for Veterinary Professionals in China: High Use of Artificial Intelligence Despite Low Familiarity
- Ev4DGS: Novel-view Rendering of Non-Rigid Objects from Monocular Event Streams
- DiT360: High-Fidelity Panoramic Image Generation via Hybrid Training
- Reinforced sequential Monte Carlo for amortised sampling
- Adversarial Attacks Leverage Interference Between Features in Superposition
- Bayesian Topological Convolutional Neural Nets
- QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs
- Operand Quant: A Single-Agent Architecture for Autonomous Machine Learning Engineering
- Tight Regret Upper and Lower Bounds for Optimistic Hedge in Two-Player Zero-Sum Games
- Phys2Real: Fusing VLM Priors with Interactive Online Adaptation for Uncertainty-Aware Sim-to-Real Manipulation
- PACEbench: A Framework for Evaluating Practical AI Cyber-Exploitation Capabilities
- Beyond 'Templates': Category-Agnostic Object Pose, Size, and Shape Estimation from a Single View
- Representation-Based Exploration for Language Models: From Test-Time to Post-Training
- Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models
- Instruction Tuning Chronologically Consistent Language Models
- Accelerated stochastic first-order method for convex optimization under heavy-tailed noise
- FACE: Faithful Automatic Concept Extraction
- An Eulerian Perspective on Straight-Line Sampling
- InfiniHuman: Infinite 3D Human Creation with Precise Control
- PhySIC: Physically Plausible 3D Human-Scene Interaction and Contact from a Single Image
- IVEBench: Modern Benchmark Suite for Instruction-Guided Video Editing Assessment
- Continual Release of Densest Subgraphs: Privacy Amplification & Sublinear Space via Subsampling
- NV3D: Leveraging Spatial Shape Through Normal Vector-based 3D Object Detection
- EvoCAD: Evolutionary CAD Code Generation with Vision Language Models
- StoryBox: Collaborative Multi-Agent Simulation for Hybrid Bottom-Up Long-Form Story Generation Using Large Language Models
- Lecture Notes on Verifying Graph Neural Networks
- Attention Factors for Statistical Arbitrage
- LLM-Oriented Token-Adaptive Knowledge Distillation
- High-resolution Photo Enhancement in Real-time: A Laplacian Pyramid Network
- ACE-G: Improving Generalization of Scene Coordinate Regression Through Query Pre-Training
- Explainability, risk modeling, and segmentation based customer churn analytics for personalized retention in e-commerce
- Deconstructing Attention: Investigating Design Principles for Effective Language Modeling
- SemCSE-Multi: Multifaceted and Decodable Embeddings for Aspect-Specific and Interpretable Scientific Domain Mapping
- MeTA-LoRA: Data-Efficient Multi-Task Fine-Tuning for Large Language Models
- Reproducibility: The New Frontier in AI Governance
- Qubit-centric Transformer for Surface Code Decoding
- REGENT: Relevance-Guided Attention for Entity-Aware Multi-Vector Neural Re-Ranking
- QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking
- Survey Response Generation: Generating Closed-Ended Survey Responses In-Silico with Large Language Models
- LLMAtKGE: Large Language Models as Explainable Attackers against Knowledge Graph Embeddings
- MS-Mix: Sentiment-Guided Adaptive Augmentation for Multimodal Sentiment Analysis
- Benchmarking foundation models for hyperspectral image classification: Application to cereal crop type mapping
- A Framework for Low-Effort Training Data Generation for Urban Semantic Segmentation
- SCOOP'D: Learning Mixed-Liquid-Solid Scooping via Sim2Real Generative Policy
- SNAP: Towards Segmenting Anything in Any Point Cloud
- Culturally-Aware Conversations: A Framework & Benchmark for LLMs
- Ontolearn-A Framework for Large-scale OWL Class Expression Learning in Python
- Characterizing Web Search in The Age of Generative AI
- Invisible Languages of the LLM Universe
- How many samples to label for an application given a foundation model? Chest X-ray classification study
- ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments?
- Efficient Group Lasso Regularized Rank Regression with Simulation-Based Tuning
- An Encoder-Integrated PhoBERT with Graph Attention for Vietnamese Token-Level Classification
- CodeWatcher: IDE Telemetry Data Extraction Tool for Understanding Coding Interactions with LLMs
- A Flexible Multi-Agent Deep Reinforcement Learning Framework for Dynamic Routing and Scheduling of Latency-Critical Services
- mmWalk: Towards Multi-modal Multi-view Walking Assistance
- Cracking CodeWhisperer: Analyzing Developers' Interactions and Patterns During Programming Tasks
- Towards Fast and Scalable Normal Integration using Continuous Components
- Automatic Music Sample Identification with Multi-Track Contrastive Learning
- Knowledge-Guided Machine Learning Models to Upscale Evapotranspiration in the U.S. Midwest
- People use fast and flat simulation to reason about new games
- Context-Aware Model-Based Reinforcement Learning for Autonomous Racing
- How Reinforcement Learning After Next-Token Prediction Facilitates Learning
- Constraint-Aware Reinforcement Learning via Adaptive Action Scaling
- Rescaling-Aware Training for Efficient Deployment of Deep Learning Models on Full-Integer Hardware
- Investigating Large Language Models' Linguistic Abilities for Text Preprocessing
- Coordinated Strategies in Realistic Air Combat by Hierarchical Multi-Agent Reinforcement Learning
- VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment
- Differentiable Fast Top-K Selection for Large-Scale Recommendation
- Iterative Amortized Inference: Unifying In-Context Learning and Learned Optimizers
- Coupled Degradation Modeling and Fusion: A VLM-Guided Degradation-Coupled Network for Degradation-Aware Infrared and Visible Image Fusion
- Enhancing Maritime Domain Awareness on Inland Waterways: A YOLO-Based Fusion of Satellite and AIS for Vessel Characterization
- GenCNER: A Generative Framework for Continual Named Entity Recognition
- Reconstructing 12-Lead ECG from 3-Lead ECG using Variational Autoencoder to Improve Cardiac Disease Detection of Wearable ECG Devices
- Adaptive Conditional Gradient Descent
- Who are you, ChatGPT? Personality and Demographic Style in LLM-Generated Content
- Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation
- Forward-Forward Autoencoder Architectures for Energy-Efficient Wireless Communications
- Leveraging LLMs for Semi-Automatic Corpus Filtration in Systematic Literature Reviews
- Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification
- KnowRL: Teaching Language Models to Know What They Know
- FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management
- Living Off the LLM: How LLMs Will Change Adversary Tactics
- Medical Interpretability and Knowledge Maps of Large Language Models
- Beyond Survival: Evaluating LLMs in Social Deduction Games with Human-Aligned Strategies
- MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference
- AI-Driven anemia diagnosis: A review of advanced models and techniques
- Early Detection and Reduction of Memorisation for Domain Adaptation and Instruction Tuning
- Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
- Multi-View Graph Feature Propagation for Privacy Preservation and Feature Sparsity
- Uncertainty-Aware ControlNet: Bridging Domain Gaps with Synthetic Image Generation
- MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
- REACT3D: Recovering Articulations for Interactive Physical 3D Scenes
- Event-Aware Prompt Learning for Dynamic Graphs
- Do LLMs "Feel"? Emotion Circuits Discovery and Control
- Template-Based Text-to-Image Alignment for Language Accessibility: A Study on Visualizing Text Simplifications
- Automated Skill Decomposition Meets Expert Ontologies: Bridging the Granularity Gap with LLMs
- Evaluating the effects of preprocessing, method selection, and hyperparameter tuning on SAR-based flood mapping and water depth estimation
- sketch2symm: Symmetry-aware sketch-to-shape generation via semantic bridging
- Beyond touch-based human-machine interface: Control your machines in natural language by utilizing large language models and OPC UA
- Are Large Language Models Effective Knowledge Graph Constructors?
- Network-Optimised Spiking Neural Network (NOS) Scheduling for 6G O-RAN: Spectral Margin and Delay-Tail Control
- Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs
- EEMS: Edge-Prompt Enhanced Medical Image Segmentation Based on Learnable Gating Mechanism
- Gym-TORAX: Open-source software for integrating reinforcement learning with plasma control simulators in tokamak research
- Vision-LLMs for Spatiotemporal Traffic Forecasting
- PADME: Procedure Aware DynaMic Execution
- Towards Real-Time Fake News Detection under Evidence Scarcity
- SeFEF: A Seizure Forecasting Evaluation Framework
- FedLoRA-Optimizer: Federated LoRA Fine-Tuning with Global and Local Optimization in Heterogeneous Data Scenarios
- From Prompts to Packets: A View from the Network on ChatGPT, Copilot, and Gemini
- Exploring and Leveraging Class Vectors for Classifier Editing
- A Large-Language-Model Assisted Automated Scale Bar Detection and Extraction Framework for Scanning Electron Microscopic Images
- DTEA: Dynamic Topology Weaving and Instability-Driven Entropic Attenuation for Medical Image Segmentation
- DemoHLM: From One Demonstration to Generalizable Humanoid Loco-Manipulation
- MIEO: encoding clinical data to enhance cardiovascular event prediction
- Do Psychometric Tests Work for Large Language Models? Evaluation of Tests on Sexism, Racism, and Morality
- FUSE: Fast Semi-Supervised Node Embedding Learning via Structural and Label-Aware Optimization
- Learning the Structure of Connection Graphs
- Nepali Sign Language Characters Recognition: Dataset Development and Deep Learning Approaches
- Analyzing Data Quality and Decay in Mega-Constellations: A Physics-Informed Machine Learning Approach
- Attacks by Content: Automated Fact-checking is an AI Security Issue
- AI Alignment Strategies from a Risk Perspective: Independent Safety Mechanisms or Shared Failures?
- Neural Weight Compression for Language Models
- CNSocialDepress: A Chinese Social Media Dataset for Depression Risk Detection and Structured Analysis
- LightPneumoNet: Lightweight Pneumonia Classifier
- Enforcing convex constraints in Graph Neural Networks
- A Theorem-Proving-Based Evaluation of Neural Semantic Parsing
- Investigating Identity Signals in Conversational Facial Dynamics via Disentangled Expression Features
- Fairness Metric Design Exploration in Multi-Domain Moral Sentiment Classification using Transformer-Based Models
- The Curious Case of Factual (Mis)Alignment between LLMs' Short- and Long-Form Answers
- Discursive Circuits: How Do Language Models Understand Discourse Relations?
- Cross-Scale Reservoir Computing for large spatio-temporal forecasting and modeling
- Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos
- Evaluating Line-level Localization Ability of Learning-based Code Vulnerability Detection Models
- Efficient In-Memory Acceleration of Sparse Block Diagonal LLMs
- Protein as a Second Language for LLMs
- Saudi Sign Language Translation Using T5
- Generalisation of automatic tumour segmentation in histopathological whole-slide images across multiple cancer types
- G2L:From Giga-Scale to Cancer-Specific Large-Scale Pathology Foundation Models via Knowledge Distillation
- Reliable Cross-modal Alignment via Prototype Iterative Construction
- Machine Learning-Integrated Hybrid Fluid-Kinetic Framework for Quantum Electrodynamic Laser Plasma Simulations
- Multiview Manifold Evidential Fusion for PolSAR Image Classification
- PAC-Bayesian Bounds on Constrained f-Entropic Risk Measures
- ELMO: Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces
- Bridging Gaps in Hate Speech Detection: Meta-Collections and Benchmarks for Low-Resource Iberian Languages
- Beyond single-model XAI: aggregating multi-model explanations for enhanced trustworthiness
- Emergence of hybrid computational dynamics through reinforcement learning
- One Size Does Not Fit All: Exploring Variable Thresholds for Distance-Based Multi-Label Text Classification
- TypePilot: Leveraging the Scala Type System for Secure LLM-generated Code
- Enhanced Sampling for Efficient Learning of Coarse-Grained Machine Learning Potentials
- torchsom: The Reference PyTorch Library for Self-Organizing Maps
- How2: How to learn from procedural How-to questions
- Spec-Driven AI for Science: The ARIA Framework for Automated and Reproducible Data Analysis
- Validation of an Artificial Intelligence Tool for the Detection of Sperm DNA Fragmentation Using the TUNEL In Situ Hybridization Assay
- A Comprehensive Forecasting-Based Framework for Time Series Anomaly Detection: Benchmarking on the Numenta Anomaly Benchmark (NAB)
- DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing
- Test-Time Adaptation by Causal Trimming
- video-SALMONN S: Memory-Enhanced Streaming Audio-Visual LLM
- Lightweight Facial Landmark Detection in Thermal Images via Multi-Level Cross-Modal Knowledge Transfer
- Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM
- Improving AI Efficiency in Data Centres by Power Dynamic Response
- Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment
- PhysioME: A Robust Multimodal Self-Supervised Framework for Physiological Signals with Missing Modalities
- Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks
- MoMaps: Semantics-Aware Scene Motion Generation with Motion Maps
- Compositional Zero-Shot Learning: A Survey
- A Primer on SO(3) Action Representations in Deep Reinforcement Learning
- HoMer: Addressing Heterogeneities by Modeling Sequential and Set-wise Contexts for CTR Prediction
- Text-Enhanced Panoptic Symbol Spotting in CAD Drawings
- Source-Free Object Detection with Detection Transformer
- Modeling AI-Driven Production and Competitiveness A Multi-Agent Economic Simulation of China and the United States
- Causal Disentanglement Learning for Accurate Anomaly Detection in Multivariate Time Series
- Argumentation-Based Explainability for Legal AI: Comparative and Regulatory Perspectives
- ROFI: A Deep Learning-Based Ophthalmic Sign-Preserving and Reversible Patient Face Anonymizer
- PhysHSI: Towards a Real-World Generalizable and Natural Humanoid-Scene Interaction System
- A Black-Box Debiasing Framework for Conditional Sampling
- Efficient Test-Time Adaptation through Latent Subspace Coefficients Search
- LSVOS 2025 Challenge Report: Recent Advances in Complex Video Object Segmentation
- Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States
- Conformal Inference for Time Series over Graphs
- Benchmarking Deep Learning Models for Laryngeal Cancer Staging Using the LaryngealCT Dataset
- Enabling Doctor-Centric Medical AI with LLMs through Workflow-Aligned Tasks and Benchmarks
- XGrasp: Gripper-Aware Grasp Detection with Multi-Gripper Data Generation
- Enhancing Zero-Shot Anomaly Detection: CLIP-SAM Collaboration with Cascaded Prompts
- The Easy Path to Robustness: Coreset Selection using Sample Hardness
- Instruction-aware User Embedding via Synergistic Language and Representation Modeling
- MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models
- GrASP: A Generalizable Address-based Semantic Prefetcher for Scalable Transactional and Analytical Workloads
- Macroeconomic Forecasting and Machine Learning
- Frequency Domain Unlocks New Perspectives for Abdominal Medical Image Segmentation
- FBS Model-based Maintenance Record Accumulation for Failure-Cause Inference in Manufacturing Systems
- ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios
- Secret-Protected Evolution for Differentially Private Synthetic Text Generation
- Adversarial Robustness in One-Stage Learning-to-Defer
- Mixup Helps Understanding Multimodal Video Better
- A Constrained Multi-Fidelity Bayesian Optimization Method
- Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization
- In-Context Learning Is Provably Bayesian Inference: A Generalization Theory for Meta-Learning
- On the Optimal Representation Efficiency of Barlow Twins: An Information-Geometric Interpretation
- RV-HATE: Reinforced Multi-Module Voting for Implicit Hate Speech Detection
- Obfuscation Rules for Detecting and Detoxifying Korean Toxicity
- Project-Level C-to-Rust Translation via Pointer Knowledge Graphs
- Comparative Evaluation of Neural Network Architectures for Generalizable Human Spatial Preference Prediction in Unseen Built Environments
- Interpretable Machine Learning for Cognitive Aging: Handling Missing Data and Uncovering Social Determinant
- Punctuation-aware treebank tree binarization
- Unify Variables in Neural Scaling Laws for General Audio Representations via Embedding Effective Rank
- Towards Distribution-Shift Uncertainty Estimation for Inverse Problems with Generative Priors
- Scalable and Explainable Enterprise Knowledge Discovery Using Graph-Centric Hybrid Retrieval
- Redundancy as a Structural Information Principle for Learning and Generalization
- Neutral Agent-based Adversarial Policy Learning against Deep Reinforcement Learning in Multi-party Open Systems
- End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF: A Reproducibility Study
- DKPMV: Dense Keypoints Fusion from Multi-View RGB Frames for 6D Pose Estimation of Textureless Objects
- GapDNER: A Gap-Aware Grid Tagging Model for Discontinuous Named Entity Recognition
- FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model
- Comparative Explanations via Counterfactual Reasoning in Recommendations
- LPCVAE: A Conditional VAE with Long-Term Dependency and Probabilistic Time-Frequency Fusion for Time Series Anomaly Detection
- ADVICE: Answer-Dependent Verbalized Confidence Estimation
- Auditing Information Disclosure During Large-Scale Gradient-Based Training via Gradient Uniqueness
- Generative AI for Software Project Management: Insights from a Review of Software Practitioner Literature
- rareboost3d: a synthetic lidar dataset with enhanced rare classes
- Transfer Learning with Distance Covariance for Random Forest: Error Bounds and an EHR Application
- FastHMR: Accelerating Human Mesh Recovery via Token and Layer Merging with Diffusion Decoding
- Quantifying Data Similarity Using Cross Learning
- HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
- A Joint Learning Approach to Hardware Caching and Prefetching