mlsanityData to 7 Oct 2026

Papers

New on arXiv

Fri 21 Feb 2025

314 papers

  1. On Synthesizing Data for Context Attribution in Question AnsweringSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
  2. Eeyore: Realistic Depression Simulation via Supervised and Preference OptimizationLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  3. TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in PracticeLLM safety and security → Jailbreaking
  4. CoKV: Optimizing KV Cache Allocation via Cooperative GameEfficient LLM inference and serving → KV cache optimization
  5. Improving Value-based Process Verifier via Structural Prior InjectionLLM reasoning → Reinforcement learning for reasoning
  6. KVLink: Accelerating Large Language Models via Efficient KV Cache ReuseEfficient LLM inference and serving → KV cache optimization
  7. Mean-Shift Distillation for Diffusion Mode SeekingDiffusion models → Diffusion foundations and sampling
  8. Forgotten Polygons: Multimodal Large Language Models are Shape-BlindLLM reasoning → Multimodal reasoning +1
  9. Minions: Cost-efficient Collaboration Between On-device and Cloud Language ModelsLLM reasoning → Test-time compute and efficient thinking
  10. Compression Barriers for Autoregressive TransformersEfficient LLM inference and serving → KV cache optimization
  11. MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context LearningRetrieval-augmented generation → Medical and biomedical RAG
  12. Self-Taught Agentic Long Context UnderstandingLLM agents and tool use → Web, search, and research agents
  13. Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  14. RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion TransformersDiffusion models → Video generation
  15. Standard Benchmarks Fail -- Auditing LLM Agents in Finance Must Prioritize RiskLLM agents and tool use → Financial trading and forecasting agents
  16. C3AI: Crafting and Evaluating Constitutions for Constitutional AILLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  17. PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought DistillationLLM reasoning → Reasoning for agents, planning and code
  18. THFlow: A Temporally Hierarchical Flow Matching Framework for 3D Peptide DesignDiffusion models → Flow matching, time series and science
  19. Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning ModelsLLM reasoning → Knowledge- and tool-augmented reasoning +2
  20. Forecasting Frontier Language Model Agent CapabilitiesLLM agents and tool use → Financial trading and forecasting agents
  21. One-step Diffusion Models with f-Divergence Distribution MatchingDiffusion models → Diffusion foundations and sampling
  22. BOSS: Benchmark for Observation Space Shift in Long-Horizon TaskOffline RL and imitation learning from data → Robot manipulation imitation learning
  23. Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  24. AutoToM: Scaling Model-based Mental Inference via Automated Agent ModelingLLM agents and tool use → General LLM agent frameworks and benchmarks
  25. VaViM and VaVAM: Autonomous Driving through Video Generative ModelingWorld models → World models for autonomous driving +1
  26. Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?LLM reasoning → Reasoning for agents, planning and code
  27. Machine-generated text detection prevents language model collapseSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
  28. Empowering LLMs with Logical Reasoning: A Comprehensive SurveyLLM reasoning → Reasoning benchmarks and evaluation
  29. Para-Lane: Multi-Lane Dataset Registering Parallel Scans for Benchmarking Novel View SynthesisEnd-to-end autonomous driving → Generative simulation for driving
  30. The relationship between reasoning and performance in large language models--o3 (mini) thinks harder, not longerLLM reasoning → Test-time compute and efficient thinking
  31. Pick-and-place Manipulation Across Grippers Without Retraining: A Learning-optimization Diffusion Policy ApproachDiffusion models → Diffusion and flow policies for robotics +1
  32. LaTIM: Measuring Latent Token-to-Token Interactions in Mamba ModelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
  33. Cross-Format Retrieval-Augmented Generation in XR with LLMs for Context-Aware Maintenance AssistanceRetrieval-augmented generation → RAG pipeline design and evaluation
  34. Do Multilingual LLMs Think In English?LLM reasoning → Reasoning benchmarks and evaluation
  35. WorldCraft: Photo-Realistic 3D World Creation and Customization via LLM AgentsLLM agents and tool use → Multimodal and embodied agents
  36. SafeInt: Shielding Large Language Models from Jailbreak Attacks via Safety-Aware Representation InterventionLLM safety and security → Jailbreaking
  37. Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction TuningSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
  38. LightThinker: Thinking Step-by-Step CompressionLLM reasoning → Test-time compute and efficient thinking
  39. DReSD: Dense Retrieval for Speculative DecodingEfficient LLM inference and serving → Speculative decoding
  40. Bridging vision language model (VLM) evaluation gaps with a framework for scalable and cost-effective benchmark generationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  41. ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  42. Bridging Domain Gaps between Pretrained Multimodal Models and RecommendationsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  43. SOTOPIA-Omega: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  44. HydraServe: Minimizing Cold Start Latency for Serverless LLM Serving in Public CloudsEfficient LLM inference and serving → Serving systems and request scheduling
  45. Construction and Evaluation of LLM-based agents for Semi-Autonomous penetration testingLLM agents and tool use → Agent threats, guardrails and governance
  46. ExpliCa: Evaluating Explicit Causal Reasoning in Large Language ModelsLLM reasoning → Causal reasoning in LLMs
  47. PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing SystemEfficient LLM inference and serving → Speculative decoding
  48. Memory Helps, but Confabulation Misleads: Understanding Streaming Events in Videos with MLLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
  49. Binary-Integer-Programming Based Algorithm for Expert Load Balancing in Mixture-of-Experts ModelsMixture-of-experts → Expert routing strategies
  50. Single-pass Detection of Jailbreaking Input in Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  51. Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMsLLM safety and security → Jailbreaking
  52. Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  53. LongCaptioning: Unlocking the Power of Long Video Caption Generation in Large Multimodal ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
  54. The Role of Background Information in Reducing Object Hallucination in Vision-Language Models: Insights from Cutoff API PromptingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  55. MOVE: A Mixture-of-Vision-Encoders Approach for Domain-Focused Vision-Language ProcessingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  56. Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  57. Stepwise Informativeness Search for Efficient and Effective LLM ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  58. Attention Eclipse: Manipulating Attention to Bypass LLM Safety-AlignmentLLM safety and security → Jailbreaking
  59. Tight Clusters Make Specialized ExpertsMixture-of-experts → Expert routing strategies
  60. SVDq: 1.25-bit and 410x Key Cache Compression for LLM AttentionEfficient LLM inference and serving → KV cache quantization
  61. Round Attention: A Novel Round-Level Attention Mechanism to Accelerate LLM InferenceEfficient LLM inference and serving → KV cache optimization
  62. CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  63. Retrieval-Augmented Speech Recognition Approach for Domain ChallengesRetrieval-augmented generation → Conversational and speech RAG
  64. LightMamba: Efficient Mamba Acceleration on FPGA with Quantization and Hardware Co-designState-space sequence models (S4, Mamba) → Core SSM architectures for language
  65. From Documents to Dialogue: Building KG-RAG Enhanced AI AssistantsRetrieval-augmented generation → RAG pipeline design and evaluation
  66. ESPnet-SpeechLM: An Open Speech Language Model ToolkitLLM agents and tool use → General LLM agent frameworks and benchmarks
  67. PairBench: Are Vision-Language Models Reliable at Comparing What They See?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  68. Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image SynthesisDiffusion models → Medical imaging and segmentation
  69. TETRIS: Optimal Draft Token Selection for Batch Speculative DecodingEfficient LLM inference and serving → Speculative decoding
  70. OccProphet: Pushing Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with Observer-Forecaster-Refiner FrameworkWorld models → World models for autonomous driving
  71. Methods and Trends in Detecting AI-Generated Images: A Comprehensive ReviewDiffusion models → Image generation, text-to-image and editing
  72. When Disagreements Elicit Robustness: Investigating Self-Repair Capabilities under LLM Multi-Agent DisagreementsLLM agents and tool use → Social simulation and multi-agent debate
  73. Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  74. Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge DeviceRetrieval-augmented generation → RAG pipeline design and evaluation
  75. CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context DemonstrationsLLM reasoning → Prompting and chain-of-thought reasoning
  76. TransMamba: Fast Universal Architecture Adaption from Transformers to MambaState-space sequence models (S4, Mamba) → Core SSM architectures for language
  77. Unveiling Reasoning Thresholds in Language Models: Scaling, Fine-Tuning, and Interpretability through Attention MapsLLM reasoning → Prompting and chain-of-thought reasoning
  78. CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
  79. Social Genome: Grounded Social Reasoning Abilities of Multimodal ModelsLLM reasoning → Reasoning benchmarks and evaluation
  80. Latency-Aware 2-Opt Monotonic Local Search for Distributed Constraint Optimization
  81. Scale Up Composed Image Retrieval Learning via Modification Text Generation
  82. Position: Beyond Assistance -- Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care
  83. Bridging Structural Dynamics and Biomechanics: Human Motion Estimation through Footstep-Induced Floor Vibrations
  84. An Audio-Visual Fusion Emotion Generation Model Based on Neuroanatomical Alignment
  85. Estimating Control Barriers from Offline Data
  86. CSTRL: Context-Driven Sequential Transfer Learning for Abstractive Radiology Report Summarization
  87. Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models
  88. Deep Learning-based Dual Watermarking for Image Copyright Protection and Authentication
  89. Inverse Surrogate Model of a Soft X-Ray Spectrometer using Domain Adaptation
  90. Protein Large Language Models: A Comprehensive Survey
  91. Doctor-in-the-Loop: An Explainable, Multi-View Deep Learning Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer
  92. Generalized Euler Logarithm and its Applications in Machine Learning: Natural Gradient, Backpropagation, Generalized EG, Mirror Descent and OLPS
  93. On-device Computation of Single-lead ECG Parameters for Real-time Remote Cardiac Health Assessment: A Real-world Validation Study
  94. Hard constraint learning approaches with trainable influence functions for evolutionary equations
  95. SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning
  96. Spatiotemporal Forecasting in Climate Data Using EOFs and Machine Learning Models: A Case Study in Chile
  97. Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements
  98. Hierarchical Residuals Exploit Brain-Inspired Compositionality
  99. News Sentiment as a Predictor for American Domestic Migration
  100. Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts
All 314
  1. Human Guided Learning of Transparent Regression Models
  2. Automated Query-Product Relevance Labeling using Large Language Models for E-commerce Search
  3. Near Optimal Decision Trees in a SPLIT Second
  4. Forecasting Open-Weight AI Model Growth on HuggingFace
  5. Improved Partial Differential Equation and Fast Approximation Algorithm for Hazy/Underwater/Dust Storm Image Enhancement
  6. CoRe: Coherency Regularization for Hierarchical Time Series
  7. Text-to-SQL Domain Adaptation via Human-LLM Collaborative Data Annotation
  8. Visual Zero-Shot E-Commerce Product Attribute Value Extraction
  9. Sparsity May Be All You Need: Sparse Random Parameter Adaptation
  10. When Cultures Meet: Multicultural Text-to-Image Generation
  11. Enhancing PPO with Trajectory-Aware Hybrid Policies
  12. Towards Efficient Contrastive PAC Learning
  13. A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models
  14. R3Mem: Bridging Memory Retention and Retrieval via Reversible Compression
  15. Human Motion Prediction, Reconstruction, and Generation
  16. Multi-Objective Optimization of Water Resource Allocation for Groundwater Recharge and Surface Runoff Management in Watershed Systems
  17. Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin
  18. Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models
  19. AutoMedPrompt: A New Framework for Optimizing LLM Medical Prompts Using Textual Gradients
  20. Orthogonal Calibration for Asynchronous Federated Learning
  21. Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for LLMs
  22. Discovery and Deployment of Emergent Robot Swarm Behaviors via Representation Learning and Real2Sim2Real Transfer
  23. Space-O-RAN: Enabling Intelligent, Open, and Interoperable Non Terrestrial Networks in 6G
  24. Dissecting Human Body Representations in Deep Networks Trained for Person Identification
  25. CVE-LLM : Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models
  26. Improving Consistency in Large Language Models through Chain of Guidance
  27. On the Design of Safe Continual RL Methods for Control of Nonlinear Systems
  28. Mind the Gap! Static and Interactive Evaluations of Large Audio Models
  29. The Esethu Framework: Reimagining Sustainable Dataset Governance and Curation for Low-Resource Languages
  30. Connecting the geometry and dynamics of many-body complex systems with message passing neural operators
  31. LLMs in Mobile Apps: Practices, Challenges, and Opportunities
  32. Graph Attention Convolutional U-NET: A Semantic Segmentation Model for Identifying Flooded Areas
  33. IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector
  34. TS-OOD: Evaluating Time-Series Out-of-Distribution Detection and Prospective Directions for Progress
  35. Explaining the Success of Nearest Neighbor Methods in Prediction
  36. ML-Driven Approaches to Combat Medicare Fraud: Advances in Class Imbalance Solutions, Feature Engineering, Adaptive Learning, and Business Impact
  37. Directional Gradient Projection for Robust Fine-Tuning of Foundation Models
  38. Efficient Estimation of Shortest-Path Distance Distributions to Samples in Graphs
  39. A Close Look at Decomposition-based XAI-Methods for Transformer Language Models
  40. DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation Maps
  41. Practical Principles for AI Cost and Compute Accounting
  42. MutaGReP: Execution-Free Repository-Grounded Plan Search for Code-Use
  43. A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare
  44. Making Sense of AI Limitations: How Individual Perceptions Shape Organizational Readiness for AI Adoption
  45. Generative AI Framework for 3D Object Generation in Augmented Reality
  46. Strategic priorities for transformative progress in advancing biology with proteomics and artificial intelligence
  47. Synthetic vs. Gold: The Role of LLM Generated Labels and Data in Cyberbullying Detection
  48. AI Governance InternationaL Evaluation Index (AGILE Index) 2024
  49. Generative AI Training and Copyright Law
  50. A Critical Assessment of Modern Generative Models' Ability to Replicate Artistic Styles
  51. Multi-Agent Stock Prediction Systems: Machine Learning Models, Simulations, and Real-Time Trading Strategies
  52. Control Illusion: The Failure of Instruction Hierarchies in Large Language Models
  53. Synthesizing Composite Hierarchical Structure from Symbolic Music Corpora
  54. ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval
  55. Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
  56. FLEKE: Federated Locate-then-Edit Knowledge Editing
  57. Almost AI, Almost Human: The Challenge of Detecting AI-Polished Writing
  58. Multi-Agent Architecture in Distributed Environment Control Systems: vision, challenges, and opportunities
  59. Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network
  60. Local geometry of high-dimensional mixture models: Effective spectral theory and dynamical transitions
  61. Logit Disagreement: OoD Detection with Bayesian Neural Networks
  62. Predicting gene essentiality and drug response from perturbation screens in preclinical cancer models with LEAP: Layered Ensemble of Autoencoders and Predictors
  63. AutoTandemML: Active Learning Enhanced Tandem Neural Networks for Inverse Design Problems
  64. Training Neural ODEs Using Fully Discretized Simultaneous Optimization
  65. Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models
  66. Mantis: Lightweight Foundation Model for Time Series Classification
  67. Sparks of cognitive flexibility: self-guided context inference for flexible stimulus-response mapping by attentional routing
  68. RGB-Only Gaussian Splatting SLAM for Unbounded Outdoor Scenes
  69. Continual Person Identification using Footstep-Induced Floor Vibrations on Heterogeneous Floor Structures
  70. Dynamic Knowledge Selector and Evaluator for recommendation with Knowledge Graph
  71. Paradigms of AI Evaluation: Mapping Goals, Methodologies and Culture
  72. Extraction multi-'etiquettes de relations en utilisant des couches de Transformer
  73. Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
  74. Pastiche Novel Generation Creating: Fan Fiction You Love in Your Favorite Author's Style
  75. A general language model for peptide function identification
  76. On the Robustness of Transformers against Context Hijacking for Linear Classification
  77. Benchmarking machine learning for bowel sound pattern classification from tabular features to pretrained models
  78. KAD: No More FAD! An Effective and Efficient Evaluation Metric for Audio Generation
  79. Robust Bias Detection in MLMs and its Application to Human Trait Ratings
  80. Improving the Scaling Laws of Synthetic Data with Deliberate Practice
  81. Chats-Grid: An Iterative Retrieval Q&A Optimization Scheme Leveraging Large Model and Retrieval Enhancement Generation in smart grid
  82. Context-Aware Doubly-Robust Semi-Supervised Learning
  83. Interpreting and Steering LLMs with Mutual Information-based Explanations on Sparse Autoencoders
  84. Feature maps for the Laplacian kernel and its generalizations
  85. A Cautionary Tale About "Neutrally" Informative AI Tools Ahead of the 2025 Federal Elections in Germany
  86. Model Privacy: A Unified Framework for Understanding Model Stealing Attacks and Defenses
  87. A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems
  88. Zweistein: A Dynamic Programming Evaluation Function for Einstein W"urfelt Nicht!
  89. Estimating Vehicle Speed on Roadways Using RNNs and Transformers: A Video-based Approach
  90. Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
  91. Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay
  92. Depth-aware Fusion Method based on Image and 4D Radar Spectrum for 3D Object Detection
  93. SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
  94. Steering LLMs for Formal Theorem Proving
  95. Jeffrey's update rule as a minimizer of Kullback-Leibler divergence
  96. BAN: Neuroanatomical Aligning in Auditory Recognition between Artificial Neural Network and Human Cortex
  97. Scale-Distribution Decoupling: Enabling Stable and Effective Training of Large Language Models
  98. Verification and Validation for Trustworthy Scientific Machine Learning
  99. Network Resource Optimization for ML-Based UAV Condition Monitoring with Vibration Analysis
  100. FQ-PETR: Fully Quantized Position Embedding Transformation for Multi-View 3D Object Detection
  101. Enhancing RWKV-based Language Models for Long-Sequence Text Generation
  102. Confidence-Based Annotation Of Brain Tumours In Ultrasound
  103. MoMa: A Modular Deep Learning Framework for Material Property Prediction
  104. On Neural BRDFs: A Thorough Comparison of State-of-the-Art Approaches
  105. CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution
  106. Sheaf theory: from deep geometry to deep learning
  107. Decoding for Punctured Convolutional and Turbo Codes: A Deep Learning Solution for Protocols Compliance
  108. Aligning Task- and Reconstruction-Oriented Communications for Edge Intelligence
  109. Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
  110. Game State and Spatio-temporal Action Detection in Soccer using Graph Neural Networks and 3D Convolutional Networks
  111. R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-Task Learning
  112. MVIP -- A Dataset and Methods for Application Oriented Multi-View and Multi-Modal Industrial Part Recognition
  113. When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models
  114. On the Effectiveness of Large Language Models in Writing Alloy Formulas
  115. Deflickering Vision-Based Occupancy Networks through Lightweight Spatio-Temporal Correlation
  116. Dimension-free bounds in high-dimensional linear regression via error-in-operator approach
  117. Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
  118. Mixup Model Merge: Enhancing Model Merging Performance through Randomized Linear Interpolation
  119. Pub-Guard-LLM: Detecting Retracted Biomedical Articles with Reliable Explanations
  120. TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning
  121. Anatomy-Informed Deep Learning and Radiomics for Automated Neurofibroma Segmentation in Whole-Body MRI
  122. Evaluating Multimodal Generative AI with Korean Educational Standards
  123. Beyond Translation: LLM-Based Data Generation for Multilingual Fact-Checking
  124. MHQA: A Diverse, Knowledge Intensive Mental Health Question Answering Challenge for Language Models
  125. Textual-to-Visual Iterative Self-Verification for Slide Generation
  126. HiFi-KPI: A Dataset for Hierarchical KPI Extraction from Earnings Filings
  127. Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution
  128. Enhancing Vehicle Make and Model Recognition with 3D Attention Modules
  129. Super-Resolution for Interferometric Imaging: Model Comparisons and Performance Analysis
  130. Chitrarth: Bridging Vision and Language for a Billion People
  131. Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks
  132. Fr'echet Cumulative Covariance Net for Deep Nonlinear Sufficient Dimension Reduction with Random Objects
  133. Efficient and Provable Algorithms for Covariate Shift
  134. Weakly Supervised Video Scene Graph Generation via Natural Language Supervision
  135. Identifying Features that Shape Perceived Consciousness in Large Language Model-based AI: A Quantitative Study of Human Responses
  136. M2LADS Demo: A System for Generating Multimodal Learning Analytics Dashboards
  137. ARS: Automatic Routing Solver with Large Language Models
  138. Integrating Generative AI in Cybersecurity Education: Case Study Insights on Pedagogical Strategies, Critical Thinking, and Responsible AI Use
  139. AttentionEngine: A Versatile Framework for Efficient Attention Mechanisms on Diverse Hardware Platforms
  140. Constructing a Norm for Children's Scientific Drawing: Distribution Features Based on Semantic Similarity of Large Language Models
  141. Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review
  142. Efficiently Solving Discounted MDPs with Predictions on Transition Matrices
  143. Tokenization is Sensitive to Language Variation
  144. PFSD: A Multi-Modal Pedestrian-Focus Scene Dataset for Rich Tasks in Semi-Structured Environments
  145. Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
  146. Exploring Embodied Multimodal Large Models: Development, Datasets, and Future Directions
  147. Detecting Future-related Contexts of Entity Mentions
  148. Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation
  149. SentiFormer: Metadata Enhanced Transformer for Image Sentiment Analysis
  150. Utilizing Sequential Information of General Lab-test Results and Diagnoses History for Differential Diagnosis of Dementia
  151. A Comprehensive Review of Fish Feeding Behavior Analysis in Aquaculture: Tasks, Techniques, and Applications
  152. Road Traffic Sign Recognition method using Siamese network Combining Efficient-CNN based Encoder
  153. A Data-Driven Real-Time Optimal Power Flow Algorithm Using Local Feedback
  154. A Novel Riemannian Sparse Representation Learning Network for Polarimetric SAR Image Classification
  155. Comparative Analysis of Black Hole Mass Estimation in Type-2 AGNs: Classical vs. Quantum Machine Learning and Deep Learning Approaches
  156. Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
  157. Time Warp: The Gap Between Developers' Ideal vs Actual Workweeks in an AI-Driven Era
  158. Soybean pod and seed counting in both outdoor fields and indoor laboratories using unions of deep neural networks
  159. Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs
  160. Hyperspherical Normalization for Scalable Deep Reinforcement Learning
  161. Analyzing the Inner Workings of Transformers in Compositional Generalization
  162. Omnidirectional Image Quality Captioning: A Large-scale Database and A New Model
  163. A Training-free LLM-based Approach to General Chinese Character Error Correction
  164. Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control
  165. Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction
  166. ComposeOn Academy: Transforming Melodic Ideas into Complete Compositions Integrating Music Learning
  167. Quantum autoencoders for image classification
  168. Real-Time Moving Flock Detection in Pedestrian Trajectories Using Sequential Deep Learning Models
  169. SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training
  170. An ocean front detection and tracking algorithm
  171. Steganographic Embeddings as an Effective Data Augmentation
  172. Comparative Analysis of Large Language Models for Context-Aware Code Completion using SAFIM Framework
  173. Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness
  174. A General Pseudonymization Framework for Cloud-Based LLMs: Replacing Privacy Information in Controlled Text Generation
  175. AutoMR: A Universal Time Series Motion Recognition Pipeline
  176. Understand User Opinions of Large Language Models via LLM-Powered In-the-Moment User Experience Interviews
  177. Auto-Discovery-Bench: Diagnosing Structured State Tracking in Oracle-Guided Discovery
  178. A BERT Based Hybrid Recommendation System For Academic Collaboration
  179. FormalSpecCpp: A Dataset of C++ Formal Specifications created using LLMs
  180. Tensor Product Neural Networks for Functional ANOVA Model
  181. The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning
  182. Measuring AI agent autonomy: Towards a scalable approach with code inspection
  183. Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing
  184. FlipConcept: Tuning-Free Multi-Concept Personalization for Text-to-Image Generation
  185. UrbanSAM: Learning Invariance-Inspired Adapters for Segment Anything Models in Urban Construction
  186. Graph-Based Deep Learning on Stereo EEG for Predicting Seizure Freedom in Epilepsy Patients
  187. Image Translation-Based Unsupervised Cross-Modality Domain Adaptation for Medical Image Segmentation
  188. Scale-Free Graph-Language Models
  189. Interleaved Block-based Learned Image Compression with Feature Enhancement and Quantization Error Compensation
  190. LUMINA-Net: Low-light Upgrade through Multi-stage Illumination and Noise Adaptation Network for Image Enhancement
  191. Key Body Posture Characteristics of Short-distance Speed Skaters at the Start Based on Artificial Intelligence
  192. Hierarchical Context Transformer for Multi-level Semantic Scene Understanding
  193. LEDD: Large Language Model-Empowered Data Discovery in Data Lakes
  194. Nonlinear Dynamical Systems for Automatic Face Annotation in Head Tracking and Pose Estimation
  195. Optimizing Product Provenance Verification using Data Valuation Methods
  196. FD-LSCIC: Frequency Decomposition-based Learned Screen Content Image Compression
  197. BP-GPT: Auditory Neural Decoding Using fMRI-prompted LLM
  198. mStyleDistance: Multilingual Style Embeddings and their Evaluation
  199. M3-AGIQA: Multimodal, Multi-Round, Multi-Aspect AI-Generated Image Quality Assessment
  200. HOpenCls: Training Hyperspectral Image Open-Set Classifiers in Their Living Environments
  201. Optimized Pap Smear Image Enhancement: Hybrid PMD Filter-CLAHE Using Spider Monkey Optimization
  202. Extreme Speech Classification in the Era of LLMs: Exploring Open-Source and Proprietary Models
  203. CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
  204. Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision
  205. Do LLMs Make Mistakes Like Students? Exploring Natural Alignment between Language Models and Human Error Patterns
  206. Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling
  207. Data Complexity Measures for Quantum Circuits Architecture Recommendation
  208. DAM-Seg: Anatomically accurate cardiac segmentation using Dense Associative Networks
  209. The Imitation Game for Educational AI
  210. Curvature Corrected Nonnegative Manifold Data Factorization
  211. MONSTER: Monash Scalable Time Series Evaluation Repository
  212. Do we really need the Rademacher complexities?
  213. Variational phylogenetic inference with products over bipartitions
  214. Assessing a Single Student's Concentration on Learning Platforms: A Machine Learning-Enhanced EEG-Based Framework