mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 2 May 2025

243 papers

  1. Exploring Communication Strategies for Collaborative LLM Agents in Mathematical Problem-SolvingLLM agents and tool use → Educational agents and math problem solving
  2. Modeling Behavioral Preferences of Cyber Adversaries Using Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning +1
  3. MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity GuidanceMixture-of-experts → MoE large language models
  4. Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI IntegrationLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  5. Skill-based Safe Reinforcement Learning with Risk PlanningDeep reinforcement learning methods → Safe and constrained RL
  6. AURA: A Diagnostic Framework for Tracking User Satisfaction of Interactive Planning AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  7. Silent Neuron Theory and Plasticity Preservation for Deep Reinforcement Learning in Adaptive Video StreamingDeep reinforcement learning methods → Deep RL algorithms and representations
  8. TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in ActionLLM reasoning → Multimodal reasoning +1
  9. PipeSpec: Breaking Stage Dependencies in Hierarchical LLM DecodingEfficient LLM inference and serving → Speculative decoding
  10. TutorGym: A Testbed for Evaluating AI Agents as Tutors and StudentsLLM agents and tool use → Educational agents and math problem solving
  11. AI agents may be worth the hype but not the resources (yet): An initial exploration of machine translation quality and costs in three language pairs in the legal and news domainsLLM agents and tool use → General LLM agent frameworks and benchmarks
  12. Parameterized Argumentation-based Reasoning Tasks for Benchmarking Generative Language ModelsLLM reasoning → Reasoning for agents, planning and code
  13. The DCR Delusion: Measuring the Privacy Risk of Synthetic DataLLM safety and security → Membership inference attacks
  14. LLM Watermarking Using Mixtures and Statistical-to-Computational GapsLLM safety and security → Watermarking generated content and models
  15. Understanding LLM Scientific Reasoning through Promptings and Model's Explanation on the AnswersLLM reasoning → Prompting and chain-of-thought reasoning
  16. VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video UnderstandingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  17. VIDSTAMP: A Temporally-Aware Watermark for Ownership and Integrity in Video Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  18. Provable Efficiency of Guidance in Diffusion Models for General Data DistributionDiffusion models → Diffusion foundations and sampling
  19. Evaluating Explanations: An Explanatory Virtues Framework for Mechanistic Interpretability -- The Strange Science Part I.iiMechanistic interpretability → Circuits and mechanistic analysis
  20. Stabilizing Temporal Difference Learning via Implicit Stochastic RecursionDeep reinforcement learning methods → RL theory and sample complexity
  21. BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model EditingMultimodal LLMs / vision-language models → Image editing and quality assessment
  22. Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration StoryDeep reinforcement learning methods → Deep RL algorithms and representations
  23. Integration of Multi-Mode Preference into Home Energy Management System Using Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  24. TRAVELER: A Benchmark for Evaluating Temporal Reasoning across Vague, Implicit and Explicit ReferencesLLM reasoning → Knowledge- and tool-augmented reasoning
  25. Helping Large Language Models Protect Themselves: An Enhanced Filtering and Summarization SystemLLM safety and security → Prompt injection and agent security
  26. Document Retrieval Augmented Fine-Tuning (DRAFT) for safety-critical software assessmentsRetrieval-augmented generation → RAG for code
  27. FlowDubber: Movie Dubbing with LLM-based Semantic-aware Learning and Flow Matching based Voice EnhancingDiffusion models → Audio, speech and music
  28. Enabling Training-Free Semantic Communication Systems with Generative Diffusion ModelsDiffusion models → Diffusion for compression and wireless
  29. CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic ReasoningLLM reasoning → Clinical and biomedical applications
  30. Explainable AI Based Diagnosis of Poisoning Attacks in Evolutionary SwarmsLLM safety and security → Prompt injection and agent security
  31. Fast Flow-based Visuomotor Policies via Conditional Optimal Transport CouplingsDiffusion models → Diffusion and flow policies for robotics
  32. Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal VelocitiesDiffusion models → Flow matching, time series and science
  33. CaGR-RAG: Context-aware Query Grouping for Disk-based Vector Search in RAG SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
  34. On the Limitations of Steering in Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
  35. CoCoAFusE: Beyond Mixtures of Experts via Model FusionMixture-of-experts → MoE theory and gating functions
  36. VSC: Visual Search Compositional Text-to-Image Diffusion ModelDiffusion models → Image generation, text-to-image and editing
  37. Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource LanguagesMultimodal LLMs / vision-language models → Medical vision-language models
  38. Multi-Objective Reinforcement Learning for Water ManagementDeep reinforcement learning methods → RL for games and combinatorial optimization
  39. Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
  40. Retrieval Augmented Learning: A Retrial-based Large Language Model Self-Supervised Learning and Autonomous Knowledge GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  41. Improving Group Fairness in Knowledge Distillation via Laplace Approximation of Early ExitsKnowledge distillation → General knowledge distillation methods
  42. Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  43. Transferable Adversarial Attacks on Black-Box Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  44. Multi-Step Consistency Models: Fast Generation with Theoretical GuaranteesDiffusion models → Diffusion foundations and sampling
  45. Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic RegulatorDeep reinforcement learning methods → RL theory and sample complexity
  46. VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural LanguageLLM agents and tool use → General LLM agent frameworks and benchmarks
  47. LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World DeploymentState-space sequence models (S4, Mamba) → Vision Mamba backbones
  48. Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language ModelsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  49. Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language ModelsRetrieval-augmented generation → Multimodal RAG +1
  50. Llama-Nemotron: Efficient Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
  51. SSRLBot: Designing and Developing a Large Language Model-based Agent using Socially Shared Regulated LearningLLM agents and tool use → Medical and scientific domain agents
  52. A Custom-Built Ambient Scribe Reduces Cognitive Load and Documentation Burden for Telehealth Clinicians
  53. Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study
  54. Disentangling AI Alignment: A Structured Taxonomy Beyond Safety and Ethics
  55. Intelligent Product 3.0: Decentralised AI Agents and Web3 Intelligence Standards
  56. ai.txt: A Domain-Specific Language for Guiding AI Interactions with the Internet
  57. Beyond Attention: Toward Machines with Intrinsic Higher Mental States
  58. SpectrumFM: A Foundation Model for Intelligent Spectrum Management
  59. DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision
  60. SMDDFNet: State-space Modeling and Dynamic Dual Fusion Network for Traffic Sign Detection
  61. Focus on Likely Classes for Test-Time Prediction
  62. Program Semantic Inequivalence Game with Large Language Models
  63. Geospatial and Temporal Trends in Urban Transportation: A Study of NYC Taxis and Pathao Food Deliveries
  64. Cer-Eval: Certifiable and Cost-Efficient Evaluation Framework for LLMs
  65. Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications
  66. ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
  67. Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free
  68. When Dynamic Data Selection Meets Data Augmentation
  69. AI-driven multi-source data fusion for algal bloom severity classification in small inland water bodies: Leveraging Sentinel-2, DEM, and NOAA climate data
  70. Facilitating Video Story Interaction with Multi-Agent Collaborative System
  71. Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
  72. Feature Optimization for Time Series Forecasting via Novel Randomized Uphill Climbing
  73. RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization
  74. Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic Hierarchies
  75. Large Language Model Compression with Global Rank and Sparsity Optimization
  76. Design description of Wisdom Computing Persperctive
  77. Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling
  78. Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI
  79. Towards High-Fidelity Synthetic Multi-platform Social Media Datasets via Large Language Models
  80. AI Education in a Mirror: Challenges Faced by Academic and Industry Experts
  81. Ensuring Reproducibility in Generative AI Systems for General Use Cases: A Framework for Regression Testing and Open Datasets
  82. A Computational Model of Inclusive Pedagogy: From Understanding to Application
  83. Leveraging LLMs to Create Content Corpora for Niche Domains
  84. Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractors
  85. Enhancing tutoring systems by leveraging tailored promptings and domain knowledge with Large Language Models
  86. Dendritic Computing with Multi-Gate Ferroelectric Field-Effect Transistors
  87. Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments
  88. A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components
  89. Don't be lazy: CompleteP enables compute-efficient deep transformers
  90. Phantora: Maximizing Code Reuse in Simulation-based Machine Learning System Performance Estimation
  91. Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation
  92. Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
  93. Machine Learning Fairness in House Price Prediction: A Case Study of America's Expanding Metropolises
  94. Grounding Task Assistance with Multimodal Cues from a Single Demonstration
  95. PainFormer: a Vision Foundation Model for Automatic Pain Assessment
  96. On the effectiveness of Large Language Models in the mechanical design domain
  97. A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative Learning
  98. Contextures: Representations from Contexts
  99. Learning Flow-Guided Registration for RGB-Event Semantic Segmentation
  100. Emotions in the Loop: A Survey of Affective Computing for Emotional Support
All 243
  1. HONEYBEE: Efficient Role-based Access Control for Vector Databases via Dynamic Partitioning[Technical Report]
  2. An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning
  3. Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer
  4. Subset Selection for Fine-Tuning: A Utility-Diversity Balanced Approach for Mathematical Domain Adaptation
  5. Securing the Future of IVR: AI-Driven Innovation with Agile Security, Data Regulation, and Ethical AI Integration
  6. WorldGenBench: A World-Knowledge-Integrated Benchmark for Reasoning-Driven Text-to-Image Generation
  7. Machine Learning for Cyber-Attack Identification from Traffic Flows
  8. Explainable Machine Learning for Cyberattack Identification from Traffic Flows
  9. CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code
  10. Deliberate Planning in Language Models with Symbolic Representation
  11. CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
  12. CodeSSM: Towards State Space Models for Code Understanding
  13. Watermark Overwriting Attack on StegaStamp algorithm
  14. Data-driven Approach for Interpolation of Sparse Data
  15. One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection
  16. GENMO: A GENeralist Model for Human MOtion
  17. Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing
  18. Negative Stepsizes Make Gradient-Descent-Ascent Converge
  19. Evaluating Frontier Models for Stealth and Situational Awareness
  20. How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades
  21. Predicting the Price of Gold in the Financial Markets Using Hybrid Models
  22. SIME: Enhancing Policy Self-Improvement with Modal-level Exploration
  23. Learning and Transferring Physical Models through Derivatives
  24. Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer
  25. CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization
  26. Global Collinearity-aware Polygonizer for Polygonal Building Mapping in Remote Sensing
  27. FalconWing: An Ultra-Light Indoor Fixed-Wing UAV Platform for Vision-Based Autonomy
  28. Monitoring morphometric drift in lifelong learning segmentation of the spinal cord
  29. Differentiable Nonlinear Model Predictive Control
  30. Learning Stabilizing Policies via an Unstable Subspace Representation
  31. How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets
  32. How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios
  33. Constrained Network Adversarial Attacks: Validity, Robustness, and Transferability
  34. FreeInsert: Disentangled Text-Guided Object Insertion in 3D Gaussian Scene without Spatial Priors
  35. Model See Model Do: Speech-Driven Facial Animation with Style Control
  36. A Transformer-based Neural Architecture Search Method
  37. A Neural Architecture Search Method using Auxiliary Evaluation Metric based on ResNet Architecture
  38. A Factorized Probabilistic Model of the Semantics of Vague Temporal Adverbials Relative to Different Event Types
  39. Enhancing SPARQL Query Rewriting for Complex Ontology Alignments
  40. Early Detection of Patient Deterioration from Real-Time Wearable Monitoring System
  41. ViSA-Flow: Accelerating Robot Skill Learning via Large-Scale Video Semantic Action Flow
  42. 2DXformer: Dual Transformers for Wind Power Forecasting with Dual Exogenous Variables
  43. Reduced-order structure-property linkages for stochastic metamaterials
  44. A Physics-preserved Transfer Learning Method for Differential Equations
  45. Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes
  46. Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
  47. Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications
  48. A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization
  49. CAMELTrack: Context-Aware Multi-cue ExpLoitation for Online Multi-Object Tracking
  50. PREMISE: Matching-based Prediction for Accurate Review Recommendation
  51. Fusing Foveal Fixations Using Linear Retinal Transformations and Bayesian Experimental Design
  52. mwBTFreddy: A Dataset for Flash Flood Damage Assessment in Urban Malawi
  53. Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
  54. EvalxNLP: A Framework for Benchmarking Post-Hoc Explainability Methods on NLP Models
  55. CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment
  56. Compensating Spatiotemporally Inconsistent Observations for Online Dynamic 3D Gaussian Splatting
  57. Core-Set Selection for Data-efficient Land Cover Segmentation
  58. VRS-UIE: Value-Driven Reordering Scanning for Underwater Image Enhancement
  59. Quantitative Attractor Analysis of High-Capacity Kernel Hopfield Networks
  60. High Dynamic Range Novel View Synthesis with Single Exposure
  61. T-Graph: Enhancing Sparse-view Camera Pose Estimation by Pairwise Translation Graph
  62. Efficient Vision-based Vehicle Speed Estimation
  63. AGRO: An Autonomous AI Rover for Precision Agriculture
  64. Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods
  65. Gaussian Differential Private Bootstrap by Subsampling
  66. A Secured Triad of IoT, Machine Learning, and Blockchain for Crop Forecasting in Agriculture
  67. Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
  68. Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks
  69. Environment-Aware Indoor LoRaWAN Ranging Using Path Loss Model Inversion and Adaptive RSSI Filtering
  70. TSTMotion: Training-free Scene-aware Text-to-motion Generation
  71. A flexible Bayesian non-parametric mixture model reveals multiple dependencies of swap errors in visual working memory
  72. LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures
  73. FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis
  74. Harmonizing Intra-coherence and Inter-divergence in Ensemble Attacks for Adversarial Transferability
  75. Empirical Comparison of Lightweight Forecasting Models for Seasonal and Non-Seasonal Time Series
  76. TActiLE: Tiny Active LEarning for wearable devices
  77. Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case
  78. Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling
  79. Descriptor: C++ Self-Admitted Technical Debt Dataset (CppSATD)
  80. Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts
  81. Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
  82. Risk Analysis and Design Against Adversarial Actions
  83. On Simulating Thin-Film Processes at the Atomic Scale Using Machine Learned Force Fields
  84. Exploring Equity of Climate Policies using Multi-Agent Multi-Objective Reinforcement Learning
  85. NeuroLoc: Encoding Navigation Cells for 6-DOF Camera Localization
  86. Learning Low-Dimensional Embeddings for Black-Box Optimization
  87. Incorporating Inductive Biases to Energy-based Generative Models
  88. MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning
  89. Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
  90. CIMFlow: An Integrated Framework for Systematic Design and Evaluation of Digital CIM Architectures
  91. Nesterov Method for Asynchronous Pipeline Parallel Optimization
  92. Artificial Intelligence in Government: Why People Feel They Lose Control
  93. MADIL: An MDL-based Framework for Efficient Program Synthesis in the ARC Benchmark
  94. Improving Editability in Image Generation with Layer-wise Memory
  95. Integration Matters for Learning PDEs with Backward SDEs
  96. Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
  97. Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs
  98. A Rusty Link in the AI Supply Chain: Detecting Evil Configurations in Model Repositories
  99. Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation
  100. Monotone Peridynamic Neural Operator for Nonlinear Material Modeling with Conditionally Unique Solutions
  101. Model Tensor Planning
  102. GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation
  103. Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities
  104. Edge Detection based on Channel Attention and Inter-region Independence Test
  105. Characterization and Learning of Causal Graphs from Hard Interventions
  106. Stagnation in Evolutionary Algorithms: Convergence neq Optimality
  107. Do We Need a Detailed Rubric for Automated Essay Scoring using Large Language Models?
  108. Edge-preserving Image Denoising via Multi-scale Adaptive Statistical Independence Testing
  109. Adaptive Wizard for Removing Cross-Tier Misconfigurations in Active Directory
  110. Fine-Tuning Without Forgetting: Adaptation of YOLOv8 Preserves COCO Performance
  111. Value Portrait: Assessing Language Models' Values through Psychometrically and Ecologically Valid Items
  112. Quantum Support Vector Regression for Robust Anomaly Detection
  113. Improving Large Language Model Planning with Action Sequence Similarity
  114. Where's the liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
  115. Towards the Resistance of Neural Network Watermarking to Fine-tuning
  116. Token-free Models for Sarcasm Detection
  117. 3D Human Pose Estimation via Spatial Graph Order Attention and Temporal Body Aware Transformer
  118. Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis
  119. Optimizing Indoor Farm Monitoring Efficiency Using UAV: Yield Estimation in a GNSS-Denied Cherry Tomato Greenhouse
  120. EmbodiTTA: Resource-Efficient Test-Time Adaptation for Embodied Visual Systems
  121. Position: Enough of Scaling LLMs! Lets Focus on Downscaling
  122. Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
  123. DHO2: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM
  124. A Character-based Diffusion Embedding Algorithm for Enhancing the Generation Quality of Generative Linguistic Steganographic Texts
  125. Attack and defense techniques in large language models: A survey and new perspectives
  126. Generating Animated Layouts as Structured Text Representations
  127. A Minimax-MDP Framework with Future-imposed Conditions for Learning-augmented Problems
  128. Tree-Sliced Wasserstein Distance with Nonlinear Projection
  129. Adaptive Branch-and-Bound Tree Exploration for Neural Network Verification
  130. DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects
  131. Enhancing User Sequence Modeling through Barlow Twins-based Self-Supervised Learning
  132. Preserving Privacy and Utility in LLM-Based Product Recommendations
  133. Addressing Noise and Stochasticity in Fraud Detection for Service Networks
  134. FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection
  135. StablePCA: Distributionally Robust Learning of Shared Representations from Multi-Source Data
  136. CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion
  137. Autonomous Embodied Agents: When Robotics Meets Deep Learning Reasoning
  138. TunnElQNN: A Hybrid Quantum-classical Neural Network for Efficient Learning
  139. A Self-Supervised Transformer for Unusable Shared Bike Detection
  140. Large Language Model-Driven Dynamic Assessment of Grammatical Accuracy in English Language Learner Writing
  141. Robust Root Cause Diagnosis using In-Distribution Interventions
  142. Compact Recurrent Transformer with Persistent Memory
  143. How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias