mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 28 Oct 2024

349 papers

  1. Reliable Decision Making via Calibration Oriented Retrieval Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  2. AutoGLM: Autonomous Foundation Agents for GUIsLLM agents and tool use → GUI and mobile agents
  3. Systematically Analyzing Prompt Injection Vulnerabilities in Diverse LLM ArchitecturesLLM safety and security → Prompt injection and agent security
  4. One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion ModelsDiffusion models → Diffusion foundations and sampling +1
  5. Asynchronous Tool Usage for Real-Time AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  6. Identifying Selections for Unsupervised Subtask DiscoveryOffline RL and imitation learning from data → Inverse reinforcement learning
  7. CaloChallenge 2022: A Community Challenge for Fast Calorimeter SimulationDiffusion models → Flow matching, time series and science
  8. A Generative Diffusion Model to Solve Inverse Problems for Robust in-NICU Neonatal MRIDiffusion models → Medical imaging and segmentation
  9. The Limits of Transfer Reinforcement Learning with Latent Low-rank StructureDeep reinforcement learning methods → Deep RL algorithms and representations
  10. CARMO: Dynamic Criteria Generation for Context-Aware Reward ModellingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  11. ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure CorrectionState-space sequence models (S4, Mamba) → Mamba for image restoration
  12. L3Ms -- Lagrange Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  13. Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text ClassificationLLM reasoning → Reasoning benchmarks and evaluation +1
  14. Group-SAE: Efficient Training of Sparse Autoencoders for Large Language Models via Layer GroupsMechanistic interpretability → SAE features and their applications
  15. Denoising Diffusion Planner: Learning Complex Paths from Low-Quality DemonstrationsDiffusion models → Diffusion and flow policies for robotics
  16. FATH: Authentication-based Test-time Defense against Indirect Prompt Injection AttacksLLM safety and security → Prompt injection and agent security
  17. Can Large Language Models Act as Symbolic Reasoners?LLM reasoning → Reasoning benchmarks and evaluation
  18. AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image ClassificationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  19. Knowledge Distillation for Real-Time Classification of Early Media in Voice CommunicationsKnowledge distillation → Speech and audio distillation
  20. AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion modelsDiffusion models → Robustness, privacy and adversarial aspects
  21. ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM InferenceEfficient LLM inference and serving → KV cache optimization
  22. Inverting Gradient Attacks Makes Powerful Data PoisoningLLM safety and security → Backdoor and data poisoning attacks
  23. UFT: Unifying Fine-Tuning of SFT and RLHF/DPO/UNA through a Generalized Implicit Reward FunctionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  24. Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path FindingOffline RL and imitation learning from data → Imitation learning methods
  25. SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment OptimizationLLM reasoning → Reasoning benchmarks and evaluation
  26. Exploring reinforcement learning for incident response in autonomous military vehiclesDeep reinforcement learning methods → Adversarial robustness and RL in finance
  27. Unveiling the Role of Expert Guidance: A Comparative Analysis of User-centered Imitation Learning and Traditional Reinforcement LearningOffline RL and imitation learning from data → Imitation learning methods +1
  28. Can Machines Think Like Humans? A Behavioral Evaluation of LLM Agents in Dictator GamesLLM reasoning → Reasoning for agents, planning and code +1
  29. "We do use it, but not how hearing people think": How the Deaf and Hard of Hearing Community Uses Large Language Model ToolsLLM reasoning → Reasoning benchmarks and evaluation
  30. Energy-Based Diffusion Language Models for Text GenerationDiffusion models → Discrete and text diffusion
  31. Causal Interventions on Causal Paths: Mapping GPT-2's Reasoning From Syntax to SemanticsLLM reasoning → Causal reasoning in LLMs
  32. FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization systemLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  33. Meta-Learning for Speeding Up Large Model Inference in Decentralized EnvironmentsEfficient LLM inference and serving → Serving systems and request scheduling
  34. FinTeamExperts: Role Specialized MOEs For Financial AnalysisMixture-of-experts → MoE for time series and graphs
  35. Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks DetectionLLM safety and security → Prompt injection and agent security
  36. On Inductive Biases That Enable Generalization of Diffusion TransformersDiffusion models → Diffusion foundations and sampling
  37. Arithmetic Without Algorithms: Language Models Solve Math With a Bag of HeuristicsLLM reasoning → Mathematical reasoning
  38. AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  39. One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion DistillationDiffusion models → Diffusion and flow policies for robotics
  40. LongReward: Improving Long-context Large Language Models with AI FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  41. Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems RobustnessDeep reinforcement learning methods → Quantum reinforcement learning
  42. Vision Search Assistant: Empower Vision-Language Models as Multimodal Search EnginesMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  43. On learning higher-order cumulants in diffusion modelsDiffusion models → Diffusion foundations and sampling
  44. Exploring contextual modeling with linear complexity for point cloud segmentationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  45. Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information ExtractionRetrieval-augmented generation → Multimodal RAG
  46. CURATe: Benchmarking Personalised Alignment of Conversational AI AssistantsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  47. Trajectory Flow Matching with Applications to Clinical Time Series ModelingDiffusion models → Flow matching, time series and science
  48. BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action SpacesOffline RL and imitation learning from data → Offline RL algorithms
  49. Palisade -- Prompt Injection Detection FrameworkLLM safety and security → Prompt injection and agent security
  50. Extrapolating Prospective Glaucoma Fundus Images through Diffusion Model in Irregular Longitudinal SequencesDiffusion models → Medical imaging and segmentation
  51. Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz RegularizationDeep reinforcement learning methods → Quantum reinforcement learning
  52. Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and ReplenishmentDeep reinforcement learning methods → RL for energy, networks and operations
  53. Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  54. Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous DrivingMixture-of-experts → MoE in reinforcement learning and robotics
  55. Stealthy Jailbreak Attacks on Large Language Models via Benign Data MirroringLLM safety and security → Jailbreaking
  56. Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: Generalized BaselinesDeep reinforcement learning methods → Safe and constrained RL
  57. CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and Retrieval-Augmented Translation with Large Language ModelsRetrieval-augmented generation → Agentic RAG, agents and memory +1
  58. Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative FrameworkDiffusion models → Image generation, text-to-image and editing
  59. Predictive Reachability for Embodiment Selection in Mobile Manipulation BehaviorsWorld models → Embodied and robot world models
  60. Getting By Goal Misgeneralization With a Little Help From a MentorDeep reinforcement learning methods → Deep RL algorithms and representations
  61. Exploring the Reliability of Foundation Model-Based Frontier Selection in Zero-Shot Object Goal NavigationLLM reasoning → Spatial and embodied reasoning
  62. Beyond Autoregression: Fast LLMs via Self-Distillation Through TimeDiffusion models → Discrete and text diffusion +1
  63. FairStream: Fair Multimedia Streaming Benchmark for Reinforcement Learning AgentsDeep reinforcement learning methods → Deep RL algorithms and representations
  64. SepMamba: State-space models for speaker separation using MambaState-space sequence models (S4, Mamba) → Speech and audio SSMs
  65. Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World PoliciesEnd-to-end autonomous driving → Reinforcement learning for driving +1
  66. EEG-Driven 3D Object Reconstruction with Style Consistency and Diffusion PriorDiffusion models → Medical imaging and segmentation
  67. Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models!Diffusion models → Image generation, text-to-image and editing
  68. BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak AttacksMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  69. Bilevel Model for Electricity Market Mechanism Optimisation via Quantum Computing Enhanced Reinforcement LearningDeep reinforcement learning methods → Quantum reinforcement learning
  70. Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial TrainingLLM safety and security → Membership inference attacks
  71. Neuro-symbolic Learning Yielding Logical ConstraintsLLM reasoning → Reasoning benchmarks and evaluation
  72. VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained ActionsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  73. FACTS: A Factored State-Space Framework For World ModellingWorld models → World models for language agents +1
  74. Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven CyberattacksLLM safety and security → Prompt injection and agent security
  75. Combining Deep Reinforcement Learning with a Jerk-Bounded Trajectory Generator for Kinematically Constrained Motion PlanningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  76. David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-trainingLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  77. Improving Generalization in Visual Reasoning via Self-EnsembleLLM reasoning → Multimodal reasoning
  78. AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation PipelineRetrieval-augmented generation → RAG pipeline design and evaluation
  79. Reward Modeling with Weak Supervision for Language ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  80. Generative Simulations of The Solar Corona Evolution With Denoising Diffusion : Proof of ConceptDiffusion models → Flow matching, time series and science
  81. LLMs are Biased Evaluators But Not Biased for Retrieval Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  82. Adversarial Constrained Policy Optimization: Improving Constrained Reinforcement Learning by Adapting BudgetsDeep reinforcement learning methods → Safe and constrained RL
  83. KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
  84. MrT5: Dynamic Token Merging for Efficient Byte-level Language ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
  85. Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +1
  86. ODRL: A Benchmark for Off-Dynamics Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  87. Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIsDiffusion models → Medical imaging and segmentation
  88. Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  89. Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +1
  90. Face-MLLM: A Large Face Perception ModelMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  91. Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug DesignDiffusion models → Flow matching, time series and science
  92. Segmenting Watermarked Texts From Language ModelsLLM safety and security → Watermarking generated content and models
  93. Guide-LLM: An Embodied LLM Agent and Text-Based Topological Map for Robotic Guidance of People with Visual ImpairmentsLLM agents and tool use → Multimodal and embodied agents
  94. TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency ModelsDiffusion models → Flow matching, time series and science
  95. Can EEG resting state data benefit data-driven approaches for motor-imagery decoding?
  96. AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directions
  97. Temporal Patterns of Multiple Long-Term Conditions in Individuals with Intellectual Disability Living in Wales: An Unsupervised Clustering Approach to Disease Trajectories
  98. Auto-assessment of assessment: A conceptual framework towards fulfilling the policy gaps in academic assessment practices
  99. Spotlight Session on Autonomous Weapons Systems at ICRC 34th International Conference
  100. Multilingual Standalone Trustworthy Voice-Based Social Network for Disaster Situations
All 349
  1. Exploring Capabilities of Time Series Foundation Models in Building Analytics
  2. Deep Learning-Based CKM Construction with Image Super-Resolution
  3. The Universal PDDL Domain
  4. FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data
  5. Similarity-based context aware continual learning for spiking neural networks
  6. Do LLM Personas Dream of Bull Markets? Comparing Human and AI Investment Strategies Through the Lens of the Five-Factor Model
  7. Diagnostic performance of deep learning for predicting glioma isocitrate dehydrogenase and 1p/19q co-deletion in MRI: a systematic review and meta-analysis
  8. ROADFIRST: A Comprehensive Enhancement of the Systemic Approach to Safety for Improved Risk Factor Identification and Evaluation
  9. On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications
  10. CycleResearcher: Improving Automated Research via Automated Review
  11. A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges
  12. Device-Directed Speech Detection for Follow-up Conversations Using Large Language Models
  13. Moral Agency in Silico: Exploring Free Will in Large Language Models
  14. Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs
  15. Survey of User Interface Design and Interaction Techniques in Generative AI Applications
  16. Project MPG: towards a generalized performance benchmark for LLM capabilities
  17. MAMMAL -- Molecular Aligned Multi-Modal Architecture and Language
  18. Vascular Segmentation of Functional Ultrasound Images using Deep Learning
  19. An Actor-Critic Approach to Boosting Text-to-SQL Large Language Model
  20. Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks
  21. NYC-Event-VPR: A Large-Scale High-Resolution Event-Based Visual Place Recognition Dataset in Dense Urban Environments
  22. Reducing the Scope of Language Models
  23. Deep Trees for (Un)structured Data: Tractability, Performance, and Interpretability
  24. Can Large Language Models Replace Data Scientists in Biomedical Research?
  25. Topological numbers and their use to characterize simple points for 2D binary images
  26. ATLAS: Adapting Trajectory Lengths and Step-Size for Hamiltonian Monte Carlo
  27. Large Pretraining Datasets Don't Guarantee Robustness after Fine-Tuning in Image Classification
  28. A Generative Model Based Honeypot for Industrial OPC UA Communication
  29. Thank You, Stingray: Multilingual Large Language Models Can Not (Yet) Disambiguate Cross-Lingual Word Sense
  30. MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps
  31. Mitigating Gradient Overlap in Deep Residual Networks with Gradient Normalization for Improved Non-Convex Optimization
  32. Empirical curvelet based Fully Convolutional Network for supervised texture image segmentation
  33. Audio Classification of Low Feature Spectrograms Utilizing Convolutional Neural Networks
  34. Going Beyond H&E and Oncology: How Do Histopathology Foundation Models Perform for Multi-stain IHC and Immunology?
  35. A Novel Score-CAM based Denoiser for Spectrographic Signature Extraction without Ground Truth
  36. Super-resolution in disordered media using neural networks
  37. Exploring the Design Space of Diffusion Bridge Models
  38. Detection of moving objects through turbulent media. Decomposition of Oscillatory vs Non-Oscillatory spatio-temporal vector fields
  39. Semantic Search Evaluation
  40. MultiTok: Variable-Length Tokenization for Efficient LLMs Adapted from LZW Compression
  41. Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning
  42. Bayesian Regression for Predicting Subscription to Bank Term Deposits in Direct Marketing Campaigns
  43. Deep Learning Methods for the Noniterative Conditional Expectation G-Formula for Causal Inference from Complex Observational Data
  44. Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data
  45. A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications
  46. LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation
  47. Predicting sub-population specific viral evolution
  48. Sabotage Evaluations for Frontier Models
  49. Diagnosis of Knee Osteoarthritis Using Bioimpedance and Deep Learning
  50. SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval
  51. RoBIn: A Transformer-Based Model For Risk Of Bias Inference With Machine Reading Comprehension
  52. Towards Multi-dimensional Explanation Alignment for Medical Classification
  53. Trustworthiness of Stochastic Gradient Descent in Distributed Learning
  54. Enhancing CTR Prediction in Recommendation Domain with Search Query Representation
  55. SpeechQE: Estimating the Quality of Direct Speech Translation
  56. A Systematic Review of Machine Learning in Sports Betting: Techniques, Challenges, and Future Directions
  57. A Mathematical Analysis of Neural Operator Behaviors
  58. TransformLLM: Adapting Large Language Models via LLM-Transformed Reading Comprehension Text
  59. Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels
  60. Estimating Causal Effects of Text Interventions Leveraging LLMs
  61. Constrained Transformer-Based Porous Media Generation to Spatial Distribution of Rock Properties
  62. A Temporal Linear Network for Time Series Forecasting
  63. TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors
  64. Sum-of-squares lower bounds for Non-Gaussian Component Analysis
  65. High-Dimensional Gaussian Process Regression with Soft Kernel Interpolation
  66. Large Language Models for Manufacturing
  67. CT2C-QA: Multimodal Question Answering over Chinese Text, Table and Chart
  68. Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health Program
  69. Model-agnostic basis functions for the 2-point correlation function of dark matter in linear theory
  70. Inferring the Morphology of the Galactic Center Excess with Gaussian Processes
  71. Domain Adaptation with a Single Vision-Language Embedding
  72. A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models
  73. LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
  74. LinFormer: A Linear-based Lightweight Transformer Architecture For Time-Aware MIMO Channel Prediction
  75. Large Language Model Benchmarks in Medical Tasks
  76. Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach
  77. Absorb & Escape: Overcoming Single Model Limitations in Generating Genomic Sequences
  78. Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects
  79. Heterogeneous Interaction Modeling With Reduced Accumulated Error for Multi-Agent Trajectory Prediction
  80. Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge
  81. Machine Learning and Quantum Intelligence for Health Data Scenarios
  82. Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context
  83. EoRA: Fine-tuning-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation
  84. OmniSep: Unified Omni-Modality Sound Separation with Query-Mixup
  85. Online Weighted Paging with Unknown Weights
  86. Modular Duality in Deep Learning
  87. LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior
  88. Adaptive Transfer Clustering: A Unified Framework
  89. BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference
  90. Provable quantum speedups for computing persistence in topological data analysis
  91. Multi-modal AI for comprehensive breast cancer prognostication
  92. Are BabyLMs Second Language Learners?
  93. Capacity-Aware Planning and Scheduling in Budget-Constrained Multi-Agent MDPs: A Meta-RL Approach
  94. Zero-Shot Dense Retrieval with Embeddings from Relevance Feedback
  95. Hierarchical Knowledge Graph Construction from Images for Scalable E-Commerce
  96. Flaming-hot Initiation with Regular Execution Sampling for Large Language Models
  97. textttskwdro: a library for Wasserstein distributionally robust machine learning
  98. LoRA vs Full Fine-tuning: An Illusion of Equivalence
  99. Reconstructing dynamics from sparse observations with no training on target system
  100. HoPE: A Novel Positional Encoding Without Long-Term Decay for Enhanced Context Awareness and Extrapolation
  101. SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning
  102. BanglaLlama: LLaMA for Bangla Language
  103. Belief in the Machine: Investigating Epistemological Blind Spots of Language Models
  104. SoS Certifiability of Subgaussian Distributions and its Algorithmic Applications
  105. On Homomorphic Encryption Based Strategies for Class Imbalance in Federated Learning
  106. Deep Learning-Based Fatigue Cracks Detection in Bridge Girders using Feature Pyramid Networks
  107. Joint Audio-Visual Idling Vehicle Detection with Streamlined Input Dependencies
  108. Differentially Private Learned Indexes
  109. Resilience in Knowledge Graph Embeddings
  110. KaLDeX: Kalman Filter based Linear Deformable Cross Attention for Retina Vessel Segmentation
  111. M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation
  112. SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents
  113. Synthetica: Large Scale Synthetic Data for Robot Perception
  114. Enhancing Learned Image Compression via Cross Window-based Attention
  115. LLM-initialized Differentiable Causal Discovery
  116. uOttawa at LegalLens-2024: Transformer-based Classification Experiments
  117. Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
  118. Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models
  119. Retrieval-Enhanced Mutation Mastery: Augmenting Zero-Shot Prediction of Protein Language Model
  120. Current State-of-the-Art of Bias Detection and Mitigation in Machine Translation for African and European Languages: a Review
  121. FusedInf: Efficient Swapping of DNN Models for On-Demand Serverless Inference Services on the Edge
  122. A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning
  123. Zero-Shot Action Recognition in Surveillance Videos
  124. LAMA: Stable Dual-Domain Deep Reconstruction For Sparse-View CT
  125. LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity Recognition
  126. Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
  127. Difference-in-Differences with Time-varying Continuous Treatments using Double/Debiased Machine Learning
  128. Large Language Model-assisted Speech and Pointing Benefits Multiple 3D Object Selection in Virtual Reality
  129. KA2ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation
  130. Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows
  131. Skip2-LoRA: A Lightweight On-device DNN Fine-tuning Method for Low-cost Edge Devices
  132. Federated Time Series Generation on Feature and Temporally Misaligned Data
  133. EMOCPD: Efficient Attention-based Models for Computational Protein Design Using Amino Acid Microenvironment
  134. Learning to Handle Complex Constraints for Vehicle Routing Problems
  135. CTINexus: Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Models
  136. Semantic Component Analysis: Introducing Multi-Topic Distributions to Clustering-Based Topic Modeling
  137. Computable Lipschitz Bounds for Deep Neural Networks
  138. SPOTS-10: Animal Pattern Benchmark Dataset for Machine Learning Algorithms
  139. Disentangled and Self-Explainable Node Representation Learning
  140. Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition
  141. Clean Up the Mess: Addressing Data Pollution in Cryptocurrency Abuse Reporting Services
  142. BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration
  143. Graph Based Traffic Analysis and Delay Prediction
  144. Transferable Post-training via Inverse Value Learning
  145. Physics-informed Partitioned Coupled Neural Operator for Complex Networks
  146. Breccia and basalt classification of thin sections of Apollo rocks with deep learning
  147. A Stein Gradient Descent Approach for Doubly Intractable Distributions
  148. Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems
  149. Frequency matters: Modeling irregular morphological patterns in Spanish with Transformers
  150. FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact Retrieval
  151. Is GPT-4 Less Politically Biased than GPT-3.5? A Renewed Investigation of ChatGPT's Political Biases
  152. A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
  153. A Continuous and Interpretable Morphometric for Robust Quantification of Dynamic Biological Shapes
  154. Efficient Bilinear Attention-based Fusion for Medical Visual Question Answering
  155. Skinned Motion Retargeting with Dense Geometric Interaction Perception
  156. A Semi-supervised CART Model for Covariate Shift
  157. Large Language Model-Guided Prediction Toward Quantum Materials Synthesis
  158. Geo-FuB: A Method for Constructing an Operator-Function Knowledge Base for Geospatial Code Generation Tasks Using Large Language Models
  159. MovieCharacter: A Tuning-Free Framework for Controllable Character Video Synthesis
  160. BEVPose: Unveiling Scene Semantics through Pose-Guided Multi-Modal BEV Alignment
  161. Improving Detection of Person Class Using Dense Pooling
  162. DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
  163. Active Legibility in Multiagent Reinforcement Learning
  164. IndraEye: Infrared Electro-Optical UAV-based Perception Dataset for Robust Downstream Tasks
  165. Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?
  166. Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation
  167. Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models
  168. Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency
  169. Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning
  170. NeuGPT: Unified multi-modal Neural GPT
  171. Constrained Optimal Fuel Consumption of HEVs under Observational Noise
  172. Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems
  173. BSD: a Bayesian framework for parametric models of neural spectra
  174. Valid Bootstraps for Network Embeddings with Applications to Network Visualisation
  175. Working Paper: Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots
  176. Adversarial Attacks on LiDAR-Based Tracking Across Road Users: Robustness Evaluation and Target-Aware Black-Box Method
  177. Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability
  178. CODES: Benchmarking Coupled ODE Surrogates
  179. The unrealized potential of agroforestry for an emissions-intensive agricultural commodity
  180. Evaluating Sugarcane Yield Variability with UAV-Derived Cane Height under Different Water and Nitrogen Conditions
  181. Explainability in AI Based Applications: A Framework for Comparing Different Techniques
  182. Strada-LLM: Graph LLM for traffic prediction
  183. ByteNet: Rethinking Multimedia File Fragment Classification through Visual Perspectives
  184. On Probabilistic Pullback Metrics for Latent Hyperbolic Manifolds
  185. Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms
  186. Asteroid Mining: ACT&Friends' Results for the GTOC 12 Problem
  187. A Simple Yet Effective Corpus Construction Framework for Indonesian Grammatical Error Correction
  188. ADLM -- stega: A Universal Adaptive Token Selection Algorithm for Improving Steganographic Text Quality via Information Entropy
  189. FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space
  190. Novel Object Synthesis via Adaptive Text-Image Harmony
  191. Temporal Streaming Batch Principal Component Analysis for Time Series Classification
  192. The Zeno's Paradox of `Low-Resource' Languages
  193. Evaluation of neural network algorithms for atmospheric turbulence mitigation
  194. Grid4D: 4D Decomposed Hash Encoding for High-Fidelity Dynamic Gaussian Splatting
  195. NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates
  196. Fidelity-Imposed Displacement Editing for the Learn2Reg 2024 SHG-BF Challenge
  197. Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation
  198. zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation
  199. Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation
  200. Transformer-Based Tooth Alignment Prediction With Occlusion And Collision Constraints
  201. Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning
  202. Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training
  203. Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study
  204. From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap
  205. SparseTem: Boosting the Efficiency of CNN-Based Video Encoders by Exploiting Temporal Continuity
  206. SCULPT: Systematic Tuning of Long Prompts
  207. Graph-based Uncertainty Metrics for Long-form Language Model Outputs
  208. Scaling-based Data Augmentation for Generative Models and its Theoretical Extension
  209. Decoding Reading Goals from Eye Movements
  210. Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation
  211. An Ensemble Approach to Music Source Separation: A Comparative Analysis of Conventional and Hierarchical Stem Separation
  212. Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting
  213. CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos
  214. Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings
  215. A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation
  216. Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts
  217. Robust Estimation for Kernel Exponential Families with Smoothed Total Variation Distances
  218. Likelihood approximations via Gaussian approximate inference
  219. Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding
  220. Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs
  221. ElectionSim: Massive Population Election Simulation Powered by Large Language Model Driven Agents
  222. Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
  223. Mitigating Unauthorized Speech Synthesis for Voice Protection
  224. Gender Bias in LLM-generated Interview Responses
  225. SEG:Seeds-Enhanced Iterative Refinement Graph Neural Network for Entity Alignment
  226. BLAPose: Enhancing 3D Human Pose Estimation with Bone Length Adjustment
  227. GPRec: Bi-level User Modeling for Deep Recommenders
  228. CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians
  229. Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
  230. Physics-Free Spectrally Multiplexed Photometric Stereo under Unknown Spectral Composition
  231. Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery
  232. Relation-based Counterfactual Data Augmentation and Contrastive Learning for Robustifying Natural Language Inference Models
  233. CIB-SE-YOLOv8: Optimized YOLOv8 for Real-Time Safety Equipment Detection on Construction Sites
  234. Combining Domain-Specific Models and LLMs for Automated Disease Phenotyping from Survey Data
  235. ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings
  236. SHARE: Shared Memory-Aware Open-Domain Long-Term Dialogue Dataset Constructed from Movie Script
  237. Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
  238. Embedding with Large Language Models for Classification of HIPAA Safeguard Compliance Rules
  239. A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data
  240. Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient
  241. Visualizing attention zones in machine reading comprehension models
  242. SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis
  243. NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
  244. Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity
  245. General Causal Imputation via Synthetic Interventions
  246. Injectivity capacity of ReLU gates
  247. Near Optimal Pure Exploration in Logistic Bandits
  248. A Comparative Study of Multiple Deep Learning Algorithms for Efficient Localization of Bone Joints in the Upper Limbs of Human Body
  249. Ant Detective: An Automated Approach for Counting Ants in Densely Populated Images and Gaining Insight into Ant Foraging Behavior