mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 17 Sep 2024

287 papers

  1. Constructive Apraxia: An Unexpected Limit of Instructible Vision-Language Models and Analog for Human Cognitive DisordersMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  2. Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion ModelsDiffusion models → Medical imaging and segmentation
  3. Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies between Model Predictions and Human Responses in VQAMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  4. Surveying the MLLM Landscape: A Meta-Review of Current SurveysMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  5. REAL: Response Embedding-based Alignment for LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  6. Watch Your Steps: Observable and Modular Chains of ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
  7. Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation ModelKnowledge distillation → General knowledge distillation methods
  8. DiffESM: Conditional Emulation of Temperature and Precipitation in Earth System Models with 3D Diffusion ModelsDiffusion models → Flow matching, time series and science
  9. Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  10. Automating proton PBS treatment planning for head and neck cancers using policy gradient-based deep reinforcement learningDeep reinforcement learning methods → RL for clinical treatment and surgery
  11. Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: A SurveyLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  12. Chain-of-Thought Prompting for Speech TranslationLLM reasoning → Audio-language model reasoning
  13. Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator AgentLLM reasoning → Reasoning for agents, planning and code +1
  14. Mamba Fusion: Learning Actions Through QuestioningState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  15. Jailbreaking Large Language Models with Symbolic MathematicsLLM safety and security → Jailbreaking
  16. UniLCD: Unified Local-Cloud Decision-Making via Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  17. NVLM: Open Frontier-Class Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  18. LLM-Agent-UMF: LLM-based Agent Unified Modeling Framework for Seamless Design of Multi Active/Passive Core-Agent ArchitecturesLLM agents and tool use → General LLM agent frameworks and benchmarks
  19. Ultrasound Image Enhancement with the Variance of Diffusion ModelsDiffusion models → Medical imaging and segmentation
  20. Towards Time Series Reasoning with LLMsLLM reasoning → Time series reasoning +1
  21. OSV: One Step is Enough for High-Quality Image to Video GenerationDiffusion models → Video generation
  22. CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional CalibrationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  23. CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent BenchmarkLLM agents and tool use → Web, search, and research agents
  24. A Scalable Game Theoretic Approach for Coordination of Multiple Dynamic SystemsDeep reinforcement learning methods → RL for games and combinatorial optimization
  25. RenderWorld: World Model with Self-Supervised 3D LabelWorld models → World models for autonomous driving +1
  26. Fine-Tuning Image-Conditional Diffusion Models is Easier than You ThinkDiffusion models → 3D, point cloud and scene generation
  27. OmniGen: Unified Image GenerationDiffusion models → Image generation, text-to-image and editing
  28. Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-DistillationKnowledge distillation → Distillation for continual learning
  29. LPT++: Efficient Training on Mixture of Long-tailed ExpertsMixture-of-experts → Vision mixture-of-experts
  30. GS-Net: Heterogeneous Vehicle Data Reuse via Generalizable Plug-and-Play 3DGS ModuleEnd-to-end autonomous driving → Generative simulation for driving
  31. EIA: Environmental Injection Attack on Generalist Web Agents for Privacy LeakageLLM agents and tool use → Agent threats, guardrails and governance
  32. DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
  33. P-RAG: Progressive Retrieval Augmented Generation For Planning on Embodied Everyday TaskRetrieval-augmented generation → Agentic RAG, agents and memory
  34. Hackphyr: A Local Fine-Tuned LLM Agent for Network Security EnvironmentsLLM agents and tool use → Agent threats, guardrails and governance
  35. LOLA -- An Open-Source Massively Multilingual Large Language ModelMixture-of-experts → MoE large language models
  36. Integrating Reinforcement Learning and Model Predictive Control with Applications to MicrogridsDeep reinforcement learning methods → RL for energy, networks and operations
  37. Bio-Inspired Mamba: Temporal Locality and Bioplausible Learning in Selective State Space ModelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
  38. Attacking Slicing Network via Side-channel Reinforcement Learning AttackDeep reinforcement learning methods → RL for energy, networks and operations
  39. Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to RefuseRetrieval-augmented generation → RAG pipeline design and evaluation
  40. LLM-as-a-Judge & Reward Model: What They Can and Cannot DoLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  41. Leveraging Symmetry to Accelerate Learning of Trajectory Tracking Controllers for Free-Flying Robotic SystemsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  42. Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  43. Self-Evolutionary Large Language Models through Uncertainty-Enhanced Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  44. SDP: Spiking Diffusion Policy for Robotic Manipulation with Learnable Channel-Wise Membrane ThresholdsDiffusion models → Diffusion and flow policies for robotics
  45. SuperCoder2.0: Technical Report on Exploring the feasibility of LLMs as Autonomous ProgrammerRetrieval-augmented generation → RAG for code
  46. Reasoning Graph Enhanced Exemplars Retrieval for In-Context LearningLLM reasoning → Knowledge- and tool-augmented reasoning
  47. High-Resolution Speech Restoration with Latent Diffusion ModelDiffusion models → Audio, speech and music
  48. RoMath: A Mathematical Reasoning Benchmark in RomanianLLM reasoning → Mathematical reasoning
  49. A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR CompilerDeep reinforcement learning methods → RL training of language and agent models
  50. On-policy Actor-Critic Reinforcement Learning for Multi-UAV ExplorationDeep reinforcement learning methods → RL for robot navigation and UAV control
  51. Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual PromptsLLM reasoning → Reasoning benchmarks and evaluation
  52. TacDiffusion: Force-domain Diffusion Policy for Precise Tactile ManipulationDiffusion models → Diffusion and flow policies for robotics
  53. Unleashing the Potential of Mamba: Boosting a LiDAR 3D Sparse Detector by Using Cross-Model Knowledge DistillationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing +1
  54. Enhanced segmentation of femoral bone metastasis in CT scans of patients using synthetic data generation with 3D diffusion modelsDiffusion models → Medical imaging and segmentation
  55. CAST: Cross-modal Alignment Similarity Test for Vision Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  56. Single-stage TTS with Masked Audio Token Modeling and Semantic Knowledge DistillationKnowledge distillation → Speech and audio distillation
  57. Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  58. Towards Effective User Attribution for Latent Diffusion Models via Watermark-Informed BlendingDiffusion models → Robustness, privacy and adversarial aspects +1
  59. Investigating Context-Faithfulness in Large Language Models: The Roles of Memory Strength and Evidence StyleRetrieval-augmented generation → RAG robustness and adaptive retrieval
  60. KALE: An Artwork Image Captioning System Augmented with Heterogeneous GraphMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  61. Implicit Reasoning in Deep Time Series ForecastingLLM reasoning → Time series reasoning
  62. EzAudio: Enhancing Text-to-Audio Generation with Efficient Diffusion TransformerDiffusion models → Audio, speech and music
  63. A Machine Learning-Driven Wireless System for Structural Health Monitoring
  64. Scale-Invariant Object Detection by Adaptive Convolution with Unified Global-Local Context
  65. Trends, Advancements and Challenges in Intelligent Optimization in Satellite Communication
  66. Evaluating Investment Risks in LATAM AI Startups: Ranking of Investment Potential and Framework for Valuation
  67. Multi-modal Atmospheric Sensing to Augment Wearable IMU-Based Hand Washing Detection
  68. Enhancing Mental Health Support through Human-AI Collaboration: Toward Secure and Empathetic AI-enabled chatbots
  69. Learning variant product relationship and variation attributes from e-commerce website structures
  70. Secure and Confidential Certificates of Online Fairness
  71. Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation
  72. A Deep Learning Approach for User-Centric Clustering in Cell-Free Massive MIMO Systems
  73. Estimating the Unobservable Components of Electricity Demand Response with Inverse Optimization
  74. Efficient Numerical Calibration of Water Delivery Network Using Short-Burst Hydrant Trials
  75. Complex-valued convolutional neural network classification of hand gesture from radar images
  76. Insightful Railway Track Evaluation: Leveraging NARX Feature Interpretation
  77. Fundamentals of legislation for autonomous artificial intelligence systems
  78. Uncertainty-Guided Self-Questioning and Answering for Video-Language Alignment
  79. Image-to-Image Translation Based on Deep Generative Modeling for Radiotherapy Synthetic Dataset Creation
  80. Analysis of Convolutional Neural Network-based Image Classifications: A Multi-Featured Application for Rice Leaf Disease Prediction and Recommendations for Farmers
  81. IBM Quantum Computers: Evolution, Performance, and Future Directions
  82. Moshi: a speech-text foundation model for real-time dialogue
  83. AutoFlow: An Autoencoder-based Approach for IP Flow Record Compression with Minimal Impact on Traffic Classification
  84. A Review of Mechanistic Models of Event Comprehension
  85. SC-Phi2: A Fine-tuned Small Language Model for StarCraft II Macromanagement Tasks
  86. A Unified Framework to Classify Business Activities into International Standard Industrial Classification through Large Language Models for Circular Economy
  87. Efficient and Personalized Mobile Health Event Prediction via Small Language Models
  88. A Joint Spectro-Temporal Relational Thinking Based Acoustic Modeling Framework
  89. Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis
  90. NSSR-DIL: Null-Shot Image Super-Resolution Using Deep Identity Learning
  91. Harnessing AI data-driven global weather models for climate attribution: An analysis of the 2017 Oroville Dam extreme atmospheric river
  92. No Saved Kaleidosope: an 100% Jitted Neural Network Coding Language with Pythonic Syntax
  93. The Sample Complexity of Smooth Boosting and the Tightness of the Hardcore Theorem
  94. Outlier Detection with Cluster Catch Digraphs
  95. Self-Contrastive Forward-Forward Algorithm
  96. ProSLM : A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering
  97. Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
  98. Uncertainty Decomposition and Error Margin Detection of Homodyned-K Distribution in Quantitative Ultrasound
  99. HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection
  100. Discrete Unit based Masking for Improving Disentanglement in Voice Conversion
All 287
  1. Open-Set Semantic Uncertainty Aware Metric-Semantic Graph Matching
  2. PropEnc: A Property Encoder for Graph Neural Networks
  3. Multi-Domain Data Aggregation for Axon and Myelin Segmentation in Histology Images
  4. Small Language Models can Outperform Humans in Short Creative Writing: A Study Comparing SLMs with Humans and LLMs
  5. NCT-CRC-HE: Not All Histopathological Datasets Are Equally Useful
  6. VALO: A Versatile Anytime Framework for LiDAR-based Object Detection Deep Neural Networks
  7. Obfuscation Based Privacy Preserving Representations are Recoverable Using Neighborhood Information
  8. Balancing Optimality and Diversity: Human-Centered Decision Making through Generative Curation
  9. Unsupervised Hybrid framework for ANomaly Detection (HAND) -- applied to Screening Mammogram
  10. Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep Unrolling
  11. Unlocking NACE Classification Embeddings with OpenAI for Enhanced Analysis and Processing
  12. Partially Observable Contextual Bandits with Linear Payoffs
  13. On the generalization ability of coarse-grained molecular dynamics models for non-equilibrium processes
  14. Robot Manipulation in Salient Vision through Referring Image Segmentation and Geometric Constraints
  15. Learning-Augmented Frequency Estimation in Sliding Windows
  16. Good Grasps Only: A data engine for self-supervised fine-tuning of pose estimation using grasp poses for verification
  17. FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
  18. Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning
  19. Chess Rating Estimation from Moves and Clock Times Using a CNN-LSTM
  20. Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph
  21. Super Resolution On Global Weather Forecasts
  22. Egalitarian Language Representation in Language Models: It All Begins with Tokenizers
  23. Multi-Document Grounded Multi-Turn Synthetic Dialog Generation
  24. Augment, Drop & Swap: Improving Diversity in LLM Captions for Efficient Music-Text Representation Learning
  25. Decomposing Gaussians with Unknown Covariance
  26. Enriching Datasets with Demographics through Large Language Models: What's in a Name?
  27. Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools
  28. Two Stage Segmentation of Cervical Tumors using PocketNet
  29. Golden Ratio Search: A Low-Power Adversarial Attack for Deep Learning based Modulation Classification
  30. Learning a Terrain- and Robot-Aware Dynamics Model for Autonomous Mobile Robot Navigation
  31. Evaluation of pretrained language models on music understanding
  32. Volvo Discovery Challenge at ECML-PKDD 2024
  33. Fault Detection and Identification Using a Novel Process Decomposition Algorithm for Distributed Process Monitoring
  34. Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
  35. AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs
  36. Says Who? Effective Zero-Shot Annotation of Focalization
  37. Normalization in Proportional Feature Spaces
  38. Training Datasets Generation for Machine Learning: Application to Vision Based Navigation
  39. Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement
  40. Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations
  41. Multi-OCT-SelfNet: Integrating Self-Supervised Learning with Multi-Source Data Fusion for Enhanced Multi-Class Retinal Disease Classification
  42. Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks
  43. Compact Implicit Neural Representations for Plane Wave Images
  44. Learning Spatially-Aware Language and Audio Embeddings
  45. AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances
  46. THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models
  47. Clinical Validation of a Real-Time Machine Learning-based System for the Detection of Acute Myeloid Leukemia by Flow Cytometry
  48. CLIP Adaptation by Intra-modal Overlap Reduction
  49. On the Effect of Instability on Learning Continuous-Time Linear Control Systems
  50. TopoMaskV2: Enhanced Instance-Mask-Based Formulation for the Road Topology Problem
  51. SOAP: Improving and Stabilizing Shampoo using Adam
  52. MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
  53. MinD-3D++: Advancing fMRI-Based 3D Reconstruction with High-Quality Textured Mesh Generation and a Comprehensive Dataset
  54. SpMis: An Investigation of Synthetic Spoken Misinformation Detection
  55. Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models
  56. TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation
  57. Navigating Process Mining: A Case study using pm4py
  58. Neural Networks for Vehicle Routing Problem
  59. Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling
  60. Leveraging Distillation Techniques for Document Understanding: A Case Study with FLAN-T5
  61. Machine Learning and Theory Ladenness -- A Phenomenological Account
  62. Task Arithmetic for Language Expansion in Speech Translation
  63. Geometry Aware Meta-Learning Neural Network for Joint Phase and Precoder Optimization in RIS
  64. Performance of Cross-Validated Targeted Maximum Likelihood Estimation
  65. LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging
  66. The Sounds of Home: A Speech-Removed Residential Audio Dataset for Sound Event Detection
  67. Kahaani: A Multimodal Co-Creative Storytelling System
  68. Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers
  69. Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach
  70. Norm of Mean Contextualized Embeddings Determines their Variance
  71. WER We Stand: Benchmarking Urdu ASR Models
  72. Linear Recency Bias During Training Improves Transformers' Fit to Reading Times
  73. Spontaneous Informal Speech Dataset for Punctuation Restoration
  74. Federated Learning with Integrated Sensing, Communication, and Computation: Frameworks and Performance Analysis
  75. Cost-informed dimensionality reduction for structural digital twin technologies
  76. SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking
  77. STCMOT: Spatio-Temporal Cohesion Learning for UAV-Based Multiple Object Tracking
  78. Evaluating the Impact of Compression Techniques on Task-Specific Performance of Large Language Models
  79. Fast Analysis of the OpenAI O1-Preview Model in Solving Random K-SAT Problem: Does the LLM Solve the Problem Itself or Call an External SAT Solver?
  80. Learning Source Disentanglement in Neural Audio Codec
  81. Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and Benchmark
  82. A Human-Centered Risk Evaluation of Biometric Systems Using Conjoint Analysis
  83. Multimodal Attention-Enhanced Feature Fusion-based Weekly Supervised Anomaly Violence Detection
  84. Exploring ChatGPT-based Augmentation Strategies for Contrastive Aspect-based Sentiment Analysis
  85. SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction
  86. High-Order Evolving Graphs for Enhanced Representation of Traffic Dynamics
  87. HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios
  88. LoRa Communication for Agriculture 4.0: Opportunities, Challenges, and Future Directions
  89. Towards Ethical Personal AI Applications: Practical Considerations for AI Assistants with Long-Term Memory
  90. Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer
  91. Annealed Winner-Takes-All for Motion Forecasting
  92. Capturing Differences in Character Representations Between Communities: An Initial Study with Fandom
  93. Synthetic data augmentation for robotic mobility aids to support blind and low vision people
  94. UltimateDO: An Efficient Framework to Marry Occupancy Prediction with 3D Object Detection via Channel2height
  95. SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration
  96. Improving the Efficiency of Visually Augmented Language Models
  97. Use the Force, Bot! -- Force-Aware ProDMP with Event-Based Replanning
  98. Semformer: Transformer Language Models with Semantic Planning
  99. Sample Complexity Bounds for Linear System Identification from a Finite Set
  100. Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations
  101. Learning Generalized Hamiltonians using fully Symplectic Mappings
  102. Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models
  103. Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study
  104. Genetic Information Analysis of Age-Related Macular Degeneration Fellow Eye Using Multi-Modal Selective ViT
  105. Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach
  106. ULOC: Learning to Localize in Complex Large-Scale Environments with Ultra-Wideband Ranges
  107. Multi-Cohort Framework with Cohort-Aware Attention and Adversarial Mutual-Information Minimization for Whole Slide Image Classification
  108. Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection
  109. Strategic Insights in Human and Large Language Model Tactics at Word Guessing Games
  110. Few-Shot Domain Adaptation for Learned Image Compression
  111. Beyond accuracy: quantifying the reliability of Multiple Instance Learning for Whole Slide Image classification
  112. Depth-based Privileged Information for Boosting 3D Human Pose Estimation on RGB
  113. Fractional Naive Bayes (FNB): non-convex optimization for a parsimonious weighted selective naive Bayes classifier
  114. Online Combinatorial Allocations and Auctions with Few Samples
  115. Three Approaches to the Automation of Laser System Alignment and Their Resource Implications: A Case Study
  116. MonoKAN: Certified Monotonic Kolmogorov-Arnold Network
  117. ShapeAug++: More Realistic Shape Augmentation for Event Data
  118. Improve Machine Learning carbon footprint using Parquet dataset format and Mixed Precision training for regression models -- Part II
  119. A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension
  120. OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities
  121. KVPruner: Structural Pruning for Faster and Memory-Efficient Large Language Models
  122. Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant
  123. A logical alarm for misaligned binary classifiers
  124. Down-Sampling Inter-Layer Adapter for Parameter and Computation Efficient Ultra-Fine-Grained Image Recognition
  125. Towards No-Code Programming of Cobots: Experiments with Code Synthesis by Large Code Models for Conversational Programming
  126. Hierarchical Narrative Analysis: Unraveling Perceptions of Generative AI
  127. Estimating the distribution of numerosity and non-numerical visual magnitudes in natural scenes using computer vision
  128. Prompt Obfuscation for Large Language Models
  129. D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding
  130. DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition
  131. MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance
  132. Latent mixed-effect models for high-dimensional longitudinal data
  133. Enhancing Low-Resource Language and Instruction Following Capabilities of Audio Language Models
  134. Contextual Breach: Assessing the Robustness of Transformer-based QA Models
  135. GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based method
  136. SynthSOD: Developing an Heterogeneous Dataset for Orchestra Music Source Separation
  137. GOSt-MT: A Knowledge Graph for Occupation-related Gender Biases in Machine Translation
  138. Control-flow Reconstruction Attacks on Business Process Models
  139. Improving Speech Emotion Recognition in Under-Resourced Languages via Speech-to-Speech Translation with Bootstrapping Data Selection
  140. PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images
  141. Edge-based Denoising Image Compression
  142. Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics
  143. Enhancing Code-switched Text-to-Speech Synthesis Capability in Large Language Models with only Monolingual Corpora
  144. Relative Representations: Topological and Geometric Perspectives
  145. CUNSB-RFIE: Context-aware Unpaired Neural Schr"odinger Bridge in Retinal Fundus Image Enhancement
  146. Cross-lingual transfer of multilingual models on low resource African Languages
  147. Active learning for energy-based antibody optimization and enhanced screening
  148. Leveraging Reviewer Experience in Code Review Comment Generation
  149. Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning
  150. Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI Image
  151. Fair Anomaly Detection For Imbalanced Groups
  152. Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
  153. Optimizing TinyML: The Impact of Reduced Data Acquisition Rates for Time Series Classification on Microcontrollers
  154. RoadRunner M&M -- Learning Multi-range Multi-resolution Traversability Maps for Autonomous Off-road Navigation
  155. Early Detection of Coronary Heart Disease Using Hybrid Quantum Machine Learning Approach
  156. Propulsion: Steering LLM with Tiny Fine-Tuning
  157. HGSLoc: 3DGS-based Heuristic Camera Pose Refinement
  158. Anti-ESIA: Analyzing and Mitigating Impacts of Electromagnetic Signal Injection Attacks
  159. FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing
  160. AMEGO: Active Memory from long EGOcentric videos
  161. A Physics Informed Neural Network (PINN) Methodology for Coupled Moving Boundary PDEs
  162. GenCRF: Generative Clustering and Reformulation Framework for Enhanced Intent-Driven Information Retrieval
  163. Clustering with Non-adaptive Subset Queries
  164. Attention-Seeker: Dynamic Self-Attention Scoring for Unsupervised Keyphrase Extraction
  165. TrajSSL: Trajectory-Enhanced Semi-Supervised 3D Object Detection
  166. AI for Water Sustainability: Global Water Quality Assessment and Prediction with Explainable AI with LLM Chatbot for Insights
  167. AutoSpec: Automated Generation of Neural Network Specifications
  168. SkinMamba: A Precision Skin Lesion Segmentation Architecture with Cross-Scale Global State Modeling and Frequency Boundary Guidance
  169. Shaking the Fake: Detecting Deepfake Videos in Real Time via Active Probes
  170. CREAM: Comparison-Based Reference-Free ELO-Ranked Automatic Evaluation for Meeting Summarization
  171. Coordinate-based Speed of Sound Recovery for Aberration-Corrected Photoacoustic Computed Tomography
  172. American Sign Language to Text Translation using Transformer and Seq2Seq with LSTM
  173. Adaptive Large Language Models By Layerwise Attention Shortcuts
  174. Dynamic Range Reduction via Branch-and-Bound
  175. Calibrated Multivariate Regression with Localized PIT Mappings
  176. Pragmatic Embodied Spoken Instruction Following in Human-Robot Collaboration with Theory of Mind
  177. 3DFacePolicy: Audio-Driven 3D Facial Animation Based on Action Control
  178. BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation
  179. Machine Learning for Public Good: Predicting Urban Crime Patterns to Enhance Community Safety
  180. SL2A-INR: Single-Layer Learnable Activation for Implicit Neural Representation
  181. PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing
  182. ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reports
  183. Unveiling and Mitigating Bias in Large Language Model Recommendations: A Path to Fairness
  184. PReLU: Yet Another Single-Layer Solution to the XOR Problem
  185. Grounded GUI Understanding for Vision-Based Spatial Intelligent Agent: Exemplified by Extended Reality Apps
  186. Quantum Kernel Learning for Small Dataset Modeling in Semiconductor Fabrication: Application to Ohmic Contact
  187. Multi-frequency Electrical Impedance Tomography Reconstruction with Multi-Branch Attention Image Prior