mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 6 May 2024

256 papers

  1. Sora and V-JEPA Have Not Learned The Complete Real World Model -- A Philosophical Analysis of Video AIs Through the Theory of Productive ImaginationWorld models → World models for language agents
  2. Visual Language Model based Cross-modal Semantic Communication SystemsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  3. SWE-agent: Agent-Computer Interfaces Enable Automated Software EngineeringLLM agents and tool use → Software engineering coding agents
  4. ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and PersonalizationRetrieval-augmented generation → RAG pipeline design and evaluation
  5. MVDiff: Scalable and Flexible Multi-View Diffusion for 3D Object Reconstruction from Single-ViewDiffusion models → 3D, point cloud and scene generation
  6. Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing FlowsOffline RL and imitation learning from data → Offline RL algorithms
  7. Sequence Compression Speeds Up Credit Assignment in Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  8. Persona Inconstancy in Multi-Agent LLM Collaboration: Conformity, Confabulation, and ImpersonationLLM agents and tool use → Social simulation and multi-agent debate
  9. Self-Improving Customer Review Response Generation Based on LLMsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  10. Thoughtful Things: Building Human-Centric Smart Devices with Small Language ModelsLLM reasoning → Spatial and embodied reasoning
  11. In Situ AI Prototyping: Infusing Multimodal Prompts into Mobile Settings with MobileMakerMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  12. MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference OptimizationDiffusion models → Video generation +1
  13. Synthetic Data from Diffusion Models Improve Drug Discovery PredictionDiffusion models → Flow matching, time series and science
  14. GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced DistillationKnowledge distillation → Knowledge distillation for LLMs
  15. How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMsLLM reasoning → Multimodal reasoning +1
  16. Language-Image Models with 3D UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  17. An Empty Room is All We Want: Automatic Defurnishing of Indoor PanoramasDiffusion models → 3D, point cloud and scene generation
  18. Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating IntentLLM safety and security → Jailbreaking
  19. ε-Policy Gradient for Online PricingDeep reinforcement learning methods → RL theory and sample complexity
  20. AlphaMath Almost Zero: Process Supervision without ProcessLLM reasoning → Reinforcement learning for reasoning
  21. Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion modelsDiffusion models → Diffusion foundations and sampling
  22. MAmmoTH2: Scaling Instructions from the WebLLM reasoning → Reasoning benchmarks and evaluation
  23. CCDM: Continuous Conditional Diffusion Models for Image GenerationDiffusion models → Diffusion foundations and sampling
  24. Is Sora a World Simulator? A Comprehensive Survey on General World Models and BeyondWorld models → Video-generation world models and simulators
  25. Are Human Rules Necessary? Generating Reusable APIs with CoT Reasoning and In-Context LearningLLM reasoning → Reasoning for agents, planning and code
  26. Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory GenerationOffline RL and imitation learning from data → Robot learning from demonstration
  27. LGTM: Local-to-Global Text-Driven Human Motion Diffusion ModelDiffusion models → Video generation
  28. Large Language Models (LLMs) as Agents for Augmented DemocracyLLM agents and tool use → Social simulation and multi-agent debate
  29. Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  30. Retinexmamba: Retinex-based Mamba for Low-light Image EnhancementState-space sequence models (S4, Mamba) → Mamba for image restoration
  31. Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior KnowledgeDiffusion models → Medical imaging and segmentation
  32. Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt LearningRetrieval-augmented generation → Generation and context integration
  33. WorldQA: Multimodal World Knowledge in Videos through Long-Chain ReasoningWorld models → World models for language agents +1
  34. End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement AvailabilityDeep reinforcement learning methods → RL for energy, networks and operations
  35. MARE: Multi-Agents Collaboration Framework for Requirements EngineeringLLM agents and tool use → Software engineering coding agents
  36. Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and BeyondDiffusion models → Diffusion foundations and sampling
  37. Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated DataDiffusion models → Diffusion foundations and sampling
  38. Federated Reinforcement Learning with Constraint HeterogeneityDeep reinforcement learning methods → RL for energy, networks and operations
  39. Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice QuestionsMechanistic interpretability → Probing deception, bias and beliefs
  40. Adapting Dual-encoder Vision-language Models for Paraphrased RetrievalMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  41. Hyperbolic Geometric Latent Diffusion Model for Graph GenerationDiffusion models → Flow matching, time series and science
  42. Video Diffusion Models: A SurveyDiffusion models → Video generation
  43. Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-trainingMixture-of-experts → MoE large language models
  44. WDMoE: Wireless Distributed Large Language Models with Mixture of ExpertsMixture-of-experts → Efficient MoE training and inference systems
  45. Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  46. To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language ModelsLLM safety and security → Machine unlearning
  47. Compressing Long Context for Enhancing RAG with AMR-based Concept DistillationRetrieval-augmented generation → RAG pipeline design and evaluation
  48. Effective Design Verification -- Constrained Random with Python and Cocotb
  49. Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data
  50. Neural Graphics Texture Compression Supporting Random Access
  51. Comparing fine-grained and coarse-grained object detection for ecology
  52. SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification
  53. High-precision surgical navigation using speckle structured light-based thoracoabdominal puncture robot
  54. Process Variant Analysis Across Continuous Features: A Novel Framework
  55. Research information in the light of artificial intelligence: quality and data ecologies
  56. Causal inference approach to appraise long-term effects of maintenance policy on functional performance of asphalt pavements
  57. Stressor Type Matters! -- Exploring Factors Influencing Cross-Dataset Generalizability of Physiological Stress Detection
  58. MEET: Mixture of Experts Extra Tree-Based sEMG Hand Gesture Identification
  59. Hire Me or Not? Examining Language Model's Behavior with Occupation Attributes
  60. Word2World: Generating Stories and Worlds through Large Language Models
  61. Multigenre AI-powered Story Composition
  62. QuakeBERT: Accurate Classification of Social Media Texts for Rapid Earthquake Impact Assessment
  63. Addressing Unboundedness in Quadratically-Constrained Mixed-Integer Problems
  64. Differentially Private Synthetic Data with Private Density Estimation
  65. Differentially Private Federated Learning without Noise Addition: When is it Possible?
  66. DeltaKWS: A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM
  67. Transformer models as an efficient replacement for statistical test suites to evaluate the quality of random numbers
  68. Unified Locational Differential Privacy Framework
  69. OmniActions: Predicting Digital Actions in Response to Real-World Multimodal Sensory Inputs with LLMs
  70. Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management
  71. Playing Games with your PET: Extending the Partial Exploration Tool to Stochastic Games
  72. BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection
  73. Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer
  74. Efficient Radiation Treatment Planning based on Voxel Importance
  75. Scalable Amortized GPLVMs for Single Cell Transcriptomics Data
  76. Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits
  77. Investigating Personalized Driving Behaviors in Dilemma Zones: Analysis and Prediction of Stop-or-Go Decisions
  78. AI-Driven Frameworks for Enhancing Data Quality in Big Data Ecosystems: Error_Detection, Correction, and Metadata Integration
  79. Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
  80. Information-driven Affordance Discovery for Efficient Robotic Manipulation
  81. Learning Planning Abstractions from Language
  82. VSA4VQA: Scaling a Vector Symbolic Architecture to Visual Question Answering on Natural Images
  83. Enhancing Apparent Personality Trait Analysis with Cross-Modal Embeddings
  84. A Novel Cross-band CSI Prediction Scheme for Multi-band Fingerprint based Localization
  85. End-to-End Autoencoder for Drill String Acoustic Communications
  86. Guylingo: The Republic of Guyana Creole Corpora
  87. Direct learning of home vector direction for insect-inspired robot navigation
  88. Organizing a Society of Language Models: Structures and Mechanisms for Enhanced Collective Intelligence
  89. False Sense of Security in Explainable Artificial Intelligence (XAI)
  90. SocialFormer: Social Interaction Modeling with Edge-enhanced Heterogeneous Graph Transformers for Trajectory Prediction
  91. UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios
  92. Detecting Anti-Semitic Hate Speech using Transformer-based Large Language Models
  93. On Adversarial Examples for Text Classification by Perturbing Latent Representations
  94. Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching
  95. Is ReLU Adversarially Robust?
  96. Foundation Models for Video Understanding: A Survey
  97. Swin transformers are robust to distribution and concept drift in endoscopy-based longitudinal rectal cancer assessment
  98. Select to Perfect: Imitating desired behavior from large multi-agent data
  99. FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering
  100. Deep Learning-based Accelerated MR Cholangiopancreatography without Fully-sampled Data
All 256
  1. Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
  2. Pretrained Optimization Model for Zero-Shot Black Box Optimization
  3. Large Language Models Synergize with Automated Machine Learning
  4. sc-OTGM: Single-Cell Perturbation Modeling by Solving Optimal Mass Transport on the Manifold of Gaussian Mixtures
  5. Deep Oscillatory Neural Network
  6. GraphSL: An Open-Source Library for Graph Source Localization Approaches and Benchmark Datasets
  7. Generative adversarial learning with optimal input dimension and its adaptive generator architecture
  8. Class-relevant Patch Embedding Selection for Few-Shot Image Classification
  9. Pose Priors from Language Models
  10. Large Language Models Reveal Information Operation Goals, Tactics, and Narrative Frames
  11. Towards A Human-in-the-Loop LLM Approach to Collaborative Discourse Analysis
  12. Why is SAM Robust to Label Noise?
  13. MemoryMamba: Memory-Augmented State Space Model for Defect Recognition
  14. Cutting through buggy adversarial example defenses: fixing 1 line of code breaks Sabre
  15. Prompting Task Trees using Gemini: Methodologies and Insights
  16. Fault Detection and Monitoring using a Data-Driven Information-Based Strategy: Method, Theory, and Application
  17. ScrewMimic: Bimanual Imitation from Human Videos with Screw Space Projection
  18. A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions
  19. Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation
  20. Competitive strategies to use "warm start" algorithms with predictions
  21. CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification
  22. A Construct-Optimize Approach to Sparse View Synthesis without Camera Pose
  23. A review on data-driven constitutive laws for solids
  24. Field-of-View Extension for Brain Diffusion MRI via Deep Generative Models
  25. Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders
  26. Generated Contents Enrichment
  27. Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation
  28. When LLMs Meet Cybersecurity: A Systematic Literature Review
  29. Collecting Consistently High Quality Object Tracks with Minimal Human Involvement by Using Self-Supervised Learning to Detect Tracker Errors
  30. Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method
  31. Collage: Light-Weight Low-Precision Strategy for LLM Training
  32. The Federation Strikes Back: A Survey of Federated Learning Privacy Attacks, Defenses, Applications, and Policy Landscape
  33. Neural Graph Map: Dense Mapping with Efficient Loop Closure Integration
  34. Detecting Android Malware: From Neural Embeddings to Hands-On Validation with BERTroid
  35. A Controlled Experiment on the Energy Efficiency of the Source Code Generated by Code Llama
  36. Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey
  37. Dual Relation Mining Network for Zero-Shot Learning
  38. GREEN: Generative Radiology Report Evaluation and Error Notation
  39. Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment
  40. Deep Clustering with Self-Supervision using Pairwise Similarities
  41. Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting
  42. ILILT: Implicit Learning of Inverse Lithography Technologies
  43. Deep Space Separable Distillation for Lightweight Acoustic Scene Classification
  44. Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing
  45. Position: Leverage Foundational Models for Black-Box Optimization
  46. Optimizing Hand Region Detection in MediaPipe Holistic Full-Body Pose Estimation to Improve Accuracy and Avoid Downstream Errors
  47. RepVGG-GELAN: Enhanced GELAN with VGG-STYLE ConvNets for Brain Tumour Detection
  48. Exploring the Efficacy of Federated-Continual Learning Nodes with Attention-Based Classifier for Robust Web Phishing Detection: An Empirical Investigation
  49. Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
  50. ReinWiFi: Application-Layer QoS Optimization of WiFi Networks with Reinforcement Learning
  51. A short Survey: Exploring knowledge graph-based neural-symbolic system from application perspective
  52. Optimisation challenge for superconducting adiabatic neural network implementing XOR and OR boolean functions
  53. Low-light Object Detection
  54. GI-SMN: Gradient Inversion Attack against Federated Learning without Prior Knowledge
  55. Boosting Single Positive Multi-label Classification with Generalized Robust Loss
  56. A Rate-Distortion-Classification Approach for Lossy Image Compression
  57. UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images
  58. Whispy: Adapting STT Whisper Models to Real-Time Environments
  59. AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers
  60. A Symplectic Analysis of Alternating Mirror Descent
  61. Hierarchic Flows to Estimate and Sample High-dimensional Probabilities
  62. A Lightweight Neural Architecture Search Model for Medical Image Classification
  63. SSyncOA: Self-synchronizing Object-aligned Watermarking to Resist Cropping-paste Attacks
  64. Byzantine-Robust Gossip: Insights from a Dual Approach
  65. Robotic Constrained Imitation Learning for the Peg Transfer Task in Fundamentals of Laparoscopic Surgery
  66. DBDH: A Dual-Branch Dual-Head Neural Network for Invisible Embedded Regions Localization
  67. A method for quantifying the generalization capabilities of generative models for solving Ising models
  68. Improved Forward-Forward Contrastive Learning
  69. ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers
  70. Geometry-aware framework for deep energy method: an application to structural mechanics with hyperelastic materials
  71. Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of Large Language Models
  72. Implantable Adaptive Cells: A Novel Enhancement for Pre-Trained U-Nets in Medical Image Segmentation
  73. Automated Metaheuristic Algorithm Design with Autoregressive Learning
  74. Gaussian Splatting: 3D Reconstruction and Novel View Synthesis, a Review
  75. LightTR: A Lightweight Framework for Federated Trajectory Recovery
  76. An Image Quality Evaluation and Masking Algorithm Based On Pre-trained Deep Neural Networks
  77. Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain
  78. E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification
  79. Don't Waste Your Time: Early Stopping Cross-Validation
  80. 3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation
  81. The high dimensional psychological profile and cultural bias of ChatGPT
  82. Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension
  83. GLIP: Electromagnetic Field Exposure Map Completion by Deep Generative Networks
  84. Statistical Edge Detection And UDF Learning For Shape Representation
  85. CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer
  86. Knowledge-aware Text-Image Retrieval for Remote Sensing Images
  87. Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G
  88. Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom
  89. Telextiles: End-to-end Remote Transmission of Fabric Tactile Sensation
  90. MedDoc-Bot: A Chat Tool for Comparative Analysis of Large Language Models in the Context of the Pediatric Hypertension Guideline
  91. A Generalization Theory of Cross-Modality Distillation with Contrastive Learning
  92. Salient Object Detection From Arbitrary Modalities
  93. Modality Prompts for Arbitrary Modality Salient Object Detection
  94. Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
  95. Enhancing Q-Learning with Large Language Model Heuristics
  96. Functional Equivalence with NARS
  97. Light-VQA+: A Video Quality Assessment Model for Exposure Correction with Vision-Language Guidance
  98. Policy Learning for Balancing Short-Term and Long-Term Rewards
  99. Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes
  100. Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction
  101. Enhancing DETRs Variants through Improved Content Query and Similar Query Aggregation
  102. Provably Unlearnable Data Examples
  103. Deep Learning-based Point Cloud Registration for Augmented Reality-guided Surgery
  104. Federated Learning for Drowsiness Detection in Connected Vehicles
  105. Artificial Intelligence in the Autonomous Navigation of Endovascular Interventions: A Systematic Review
  106. Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification
  107. Online Clustering of Known and Emerging Malware Families
  108. Coefficient Decomposition for Spectral Graph Convolution
  109. Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up
  110. Animate Your Thoughts: Decoupled Reconstruction of Dynamic Natural Vision from Slow Brain Activity
  111. Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning
  112. Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth
  113. Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition
  114. Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series
  115. Cross-Modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks
  116. A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series
  117. TED: Accelerate Model Training by Internal Generalization
  118. Spatial and Surface Correspondence Field for Interaction Transfer
  119. Elevator, Escalator, or Neither? Classifying Conveyor State Using Smartphone under Arbitrary Pedestrian Behavior
  120. A Philosophical Introduction to Language Models - Part II: The Way Forward
  121. Vietnamese AI Generated Text Detection
  122. Hierarchical Space-Time Attention for Micro-Expression Recognition
  123. Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting
  124. Stability Evaluation via Distributional Perturbation Analysis
  125. StyleSeg V2: Towards Robust One-shot Segmentation of Brain Tissue via Optimization-free Registration Error Perception
  126. CityLLaVA: Efficient Fine-Tuning for VLMs in City Scenario
  127. Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability
  128. QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation
  129. Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner
  130. Braced Fourier Continuation and Regression for Anomaly Detection
  131. Transformer-based RGB-T Tracking with Channel and Spatial Feature Fusion
  132. Oracle-Checker Scheme for Evaluating a Generative Large Language Model
  133. The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning
  134. Advancing Multimodal Medical Capabilities of Gemini
  135. DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging
  136. Decentralized Online Learning in General-Sum Stackelberg Games
  137. Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines
  138. Time Series Stock Price Forecasting Based on Genetic Algorithm (GA)-Long Short-Term Memory Network (LSTM) Optimization
  139. Quantifying the Capabilities of LLMs across Scale and Precision
  140. PTQ4SAM: Post-Training Quantization for Segment Anything
  141. Automatic Ultrasound Curve Angle Measurement via Affinity Clustering for Adolescent Idiopathic Scoliosis Evaluation
  142. TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
  143. CRAFT: Extracting and Tuning Cultural Instructions from the Wild
  144. Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation
  145. AniTalker: Animate Vivid and Diverse Talking Faces through Identity-Decoupled Facial Motion Encoding
  146. Temporal Dynamics of Emotion and Cognition in Human Translation: Integrating the Task Segment Framework and the HOF Taxonomy
  147. Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning
  148. GeoContrastNet: Contrastive Key-Value Edge Learning for Language-Agnostic Document Understanding
  149. Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
  150. SketchGPT: Autoregressive Modeling for Sketch Generation and Recognition
  151. FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models
  152. Loss Jump During Loss Switch in Solving PDEs with Neural Networks
  153. Bayesian optimization for stable properties amid processing fluctuations in sputter deposition
  154. Research on Image Recognition Technology Based on Multimodal Deep Learning
  155. Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition
  156. Analyzing Emotional Trends from X platform using SenticNet: A Comparative Analysis with Cryptocurrency Price