mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 18 Oct 2024

326 papers

  1. Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step ReasoningLLM reasoning → Mathematical reasoning
  2. Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoningLLM reasoning → Reasoning benchmarks and evaluation
  3. Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMsLLM safety and security → Jailbreaking
  4. CybORG++: An Enhanced Gym for the Development of Autonomous Cyber AgentsDeep reinforcement learning methods → Adversarial robustness and RL in finance
  5. TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N SamplingLLM reasoning → Test-time compute and efficient thinking +1
  6. A Hybrid Defense Strategy for Boosting Adversarial Robustness in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  7. Truncated Consistency ModelsDiffusion models → Diffusion foundations and sampling
  8. Reasoning, Memorization, and Fine-Tuning Language Models for Non-Cooperative GamesLLM reasoning → Reasoning for agents, planning and code
  9. Class-RAG: Real-Time Content Moderation with Retrieval Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
  10. How to Evaluate Reward Models for RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  11. Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics
  12. Enhancing Prompt Injection Attacks to LLMs via Poisoning AlignmentLLM safety and security → Prompt injection and agent security
  13. Adapting Multilingual LLMs to Low-Resource Languages using Continued Pre-training and Synthetic CorpusSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  14. Aligning AI Agents via Information-Directed SamplingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  15. DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control AgentsLLM agents and tool use → GUI and mobile agents +1
  16. Improving Vector-Quantized Image Modeling with Latent Consistency-Matching DiffusionDiffusion models → Diffusion foundations and sampling
  17. SudoLM: Learning Access Control of Parametric Knowledge with Authorization AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  18. To Trust or Not to Trust? Enhancing Large Language Models' Situated Faithfulness to External ContextsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  19. Decomposing The Dark Matter of Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
  20. NaturalBench: Evaluating Vision-Language Models on Natural Adversarial SamplesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  21. MiCEval: Unveiling Multimodal Chain of Thought's Quality via Image Description and Reasoning StepsLLM reasoning → Multimodal reasoning +1
  22. Online Reinforcement Learning with Passive MemoryDeep reinforcement learning methods → Deep RL algorithms and representations
  23. A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  24. Harnessing Causality in Reinforcement Learning With Bagged Decision TimesDeep reinforcement learning methods → RL theory and sample complexity
  25. Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated TokensSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
  26. Diverging Preferences: When do Annotators Disagree and do Models Know?LLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  27. Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
  28. DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational SearchKnowledge distillation → Knowledge distillation for LLMs
  29. Streaming Deep Reinforcement Learning Finally WorksDeep reinforcement learning methods → Deep RL algorithms and representations
  30. Toolshed: Scale Tool-Equipped Agents with Advanced RAG-Tool Fusion and Tool Knowledge BasesLLM agents and tool use → Tool learning and function calling
  31. MomentumSMoE: Integrating Momentum into Sparse Mixture of ExpertsMixture-of-experts → MoE theory and gating functions
  32. When LLMs Go Online: The Emerging Threat of Web-Enabled LLMsLLM agents and tool use → Agent threats, guardrails and governance
  33. ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope QuestionsRetrieval-augmented generation → RAG pipeline design and evaluation
  34. Multi-modal Pose Diffuser: A Multimodal Generative Conditional Pose PriorDiffusion models → 3D, point cloud and scene generation
  35. CLIP-VAD: Exploiting Vision-Language Models for Voice Activity DetectionMultimodal LLMs / vision-language models → Video understanding with MLLMs
  36. LEAD: Latent Realignment for Human Motion DiffusionDiffusion models → Video generation
  37. SignAttention: On the Interpretability of Transformer Models for Sign Language TranslationMechanistic interpretability → Knowledge and representations inside LLMs
  38. ANT: Adaptive Noise Schedule for Time Series Diffusion ModelsDiffusion models → Flow matching, time series and science
  39. Transfer Reinforcement Learning in Heterogeneous Action Spaces using Subgoal MappingDeep reinforcement learning methods → Deep RL algorithms and representations
  40. DRL Optimization Trajectory Generation via Wireless Network Intent-Guided Diffusion Models for Optimizing Resource AllocationDiffusion models → Diffusion for compression and wireless
  41. Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language ModelsRetrieval-augmented generation → Privacy and security of RAG +1
  42. Knowledge Transfer from Simple to Complex: A Safe and Efficient Reinforcement Learning Framework for Autonomous Driving Decision-MakingEnd-to-end autonomous driving → Reinforcement learning for driving +1
  43. A Systematic Study of Cross-Layer KV Sharing for Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
  44. FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  45. Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge DistillationLLM safety and security → Backdoor and data poisoning attacks +1
  46. SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic ReasoningLLM reasoning → Clinical and biomedical applications
  47. Dynamic Negative Guidance of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  48. Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational NotebooksLLM agents and tool use → Software engineering coding agents
  49. MARLIN: Multi-Agent Reinforcement Learning Guided by Language-Based Inter-Robot NegotiationLLM agents and tool use → Reinforcement learning for LLM agents
  50. Interpretable end-to-end Neurosymbolic Reinforcement Learning agentsDeep reinforcement learning methods → Interpretable and logic-guided RL
  51. CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy TrafficLLM agents and tool use → Multimodal and embodied agents
  52. Zero-shot Action Localization via the Confidence of Large Vision-Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
  53. ViCToR: Improving Visual Comprehension via Token Reconstruction for Pretraining LMMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  54. HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image GenerationDiffusion models → Image generation, text-to-image and editing
  55. ControlSR: Taming Diffusion Models for Consistent Real-World Image Super ResolutionDiffusion models → Inverse problems and image restoration
  56. HYPNOS : Highly Precise Foreground-focused Diffusion Finetuning for Inanimate ObjectsDiffusion models → Image generation, text-to-image and editing
  57. Good Parenting is all you need -- Multi-agentic LLM Hallucination MitigationLLM agents and tool use → Medical and scientific domain agents
  58. Revisiting Service Level Objectives and System Level Metrics in Large Language Model ServingEfficient LLM inference and serving → Serving systems and request scheduling
  59. Synthesizing Post-Training Data for LLMs through Multi-Agent SimulationLLM agents and tool use → General LLM agent frameworks and benchmarks
  60. ERDDCI: Exact Reversible Diffusion via Dual-Chain Inversion for High-Quality Image EditingDiffusion models → Image generation, text-to-image and editing
  61. Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic SamplersDiffusion models → Diffusion foundations and sampling
  62. Towards Robust Knowledge Representations in Multilingual LLMs for Equivalence and Inheritance based Consistent ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  63. MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive ImagingState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
  64. Paths-over-Graph: Knowledge Graph Empowered Large Language Model ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  65. Agents4PLC: Automating Closed-loop PLC Code Generation and Verification in Industrial Control Systems using LLM-based AgentsLLM agents and tool use → Software engineering coding agents
  66. E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language ModelMultimodal LLMs / vision-language models → Medical vision-language models
  67. Supervised Chain of ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
  68. A Probabilistic Model for Skill Acquisition with Switching Latent Feedback ControllersOffline RL and imitation learning from data → Robot manipulation imitation learning
  69. MetaAlign: Align Large Language Models with Diverse Preferences during Inference TimeLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  70. MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart ProblemsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  71. Learning autonomous driving from aerial imageryEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  72. Heavy-Tailed Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  73. Personalized Image Generation with Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  74. Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering SystemsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  75. Assessing Open-world Forgetting in Generative Image Model CustomizationDiffusion models → Diffusion foundations and sampling
  76. Beyond Autoregression: Discrete Diffusion for Complex Reasoning and PlanningLLM reasoning → Diffusion reasoning and test-time scaling +1
  77. Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language ModelsMechanistic interpretability → Knowledge and representations inside LLMs
  78. RA-BLIP: Multimodal Adaptive Retrieval-Augmented Bootstrapping Language-Image Pre-trainingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +2
  79. SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based AgentWorld models → World models for language agents +1
  80. Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language AlignmentLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  81. Preview-based Category Contrastive Learning for Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  82. Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied AgentsLLM agents and tool use → Agent threats, guardrails and governance
  83. ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and WisdomLLM reasoning → Multimodal reasoning +1
  84. Inverse Reinforcement Learning from Non-Stationary Learning AgentsOffline RL and imitation learning from data → Inverse reinforcement learning +1
  85. MarineGym: Accelerated Training for Underwater Vehicles with High-Fidelity RL SimulationDeep reinforcement learning methods → RL for robot navigation and UAV control
  86. A Communication and Computation Efficient Fully First-order Method for Decentralized Bilevel OptimizationDeep reinforcement learning methods → RL theory and sample complexity
  87. Extreme Precipitation Nowcasting using Multi-Task Latent Diffusion ModelsDiffusion models → Flow matching, time series and science
  88. Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization ModelsLLM safety and security → Watermarking generated content and models
  89. ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for Long-Term Cross-City Mobility PredictionMixture-of-experts → MoE for time series and graphs
  90. AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworker
  91. Enhancing Retrieval Performance: An Ensemble Approach For Hard Negative Mining
  92. A Persuasion-Based Prompt Learning Approach to Improve Smishing Detection through Data Augmentation
  93. Sentiment Analysis Based on RoBERTa for Amazon Review: An Empirical Study on Decision Making
  94. HOUND: High-Order Universal Numerical Differentiator for a Parameter-free Polynomial Online Approximation
  95. KeyInst: Keyword Instruction for Improving SQL Formulation in Text-to-SQL
  96. Solving the 2D Advection-Diffusion Equation using Fixed-Depth Symbolic Regression and Symbolic Differentiation without Expression Trees
  97. Novel Development of LLM Driven mCODE Data Model for Improved Clinical Trial Matching to Enable Standardization and Interoperability in Oncology Research
  98. Automating Video Thumbnails Selection and Generation with Multimodal and Multistage Analysis
  99. Flame quality monitoring of flare stack based on deep visual features
  100. Human-Centric eXplainable AI in Education
All 326
  1. Explainable AI in Handwriting Detection for Dyslexia Using Transfer Learning
  2. Advancing Histopathology with Deep Learning Under Data Scarcity: A Decade in Review
  3. Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks
  4. UniMTS: Unified Pre-training for Motion Time Series
  5. Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification
  6. This Candidate is [MASK]. Prompt-based Sentiment Extraction and Reference Letters
  7. Interpreting Microbiome Relative Abundance Data Using Symbolic Regression
  8. DRACO: Differentiable Reconstruction for Arbitrary CBCT Orbits
  9. From Test-Taking to Test-Making: Examining LLM Authoring of Commonsense Assessment Items
  10. Soft-Label Integration for Robust Toxicity Classification
  11. Self-Satisfied: An end-to-end framework for SAT generation and prediction
  12. Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
  13. Beyond Discretization: Learning the Optimal Solution Path
  14. Vital Insight: Assisting Experts' Context-Driven Sensemaking of Multi-modal Personal Tracking Data Using Visualization and Human-In-The-Loop LLM
  15. On the Influence of Shape, Texture and Color for Learning Semantic Segmentation
  16. Which LLMs are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection
  17. Beyond Isolated Heads: Multi-Overlapped-Head Self-Attention for Vision Transformers
  18. Joint Verification and Refinement of Language Models for Safety-Constrained Planning
  19. DFlow: Diverse Dialogue Flow Simulation with Large Language Models
  20. FedSpaLLM: Federated Pruning of Large Language Models
  21. SYNOSIS: Image synthesis pipeline for machine vision in metal surface inspection
  22. Predictive variational inference: Learn the predictively optimal posterior distribution
  23. Multi-Task Dynamic Pricing in Credit Market with Contextual Information
  24. Rank Suggestion in Non-negative Matrix Factorization: Residual Sensitivity to Initial Conditions (RSIC)
  25. Topological obstruction to the training of shallow ReLU neural networks
  26. Automated Road Extraction from Satellite Imagery Integrating Dense Depthwise Dilated Separable Spatial Pyramid Pooling with DeepLabV3+
  27. A novel approach towards the classification of Bone Fracture from Musculoskeletal Radiography images using Attention Based Transfer Learning
  28. SPRIG: Improving Large Language Model Performance by System Prompt Optimization
  29. Tackling domain generalization for out-of-distribution endoscopic imaging
  30. A Complexity-Based Theory of Compositionality
  31. Effects of Soft-Domain Transfer and Named Entity Information on Deception Detection
  32. Isolated Causal Effects of Natural Language
  33. The S2 Hierarchical Discrete Global Grid as a Nexus for Data Representation, Integration, and Querying Across Geospatial Knowledge Graphs
  34. GESH-Net: Graph-Enhanced Spherical Harmonic Convolutional Networks for Cortical Surface Registration
  35. Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
  36. Deep Generic Dynamic Object Detection Based on Dynamic Grid Maps
  37. Cross-Document Event-Keyed Summarization
  38. Differentially Private Covariate Balancing Causal Inference
  39. Polynomial Scaling is Possible For Neural Operator Approximations of Structured Families of BSDEs
  40. Privacy for Free in the Overparameterized Regime
  41. High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors
  42. A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts
  43. Medical Artificial Intelligence for Early Detection of Lung Cancer: A Survey
  44. Machine Learning Aided Modeling of Granular Materials: A Review
  45. Evaluating Quantized Large Language Models for Code Generation on Low-Resource Language Benchmarks
  46. What's New in My Data? Novelty Exploration via Contrastive Generation
  47. Multifidelity Kolmogorov-Arnold Networks
  48. Enabling Scalable Evaluation of Bias Patterns in Medical LLMs
  49. Constrained Recurrent Bayesian Forecasting for Crack Propagation
  50. Advancing Physics Data Analysis through Machine Learning and Physics-Informed Neural Networks
  51. Universal approximation results for neural networks with non-polynomial activation function over non-compact domains
  52. Controllable Discovery of Intents: Incremental Deep Clustering Using Semi-Supervised Contrastive Learning
  53. On the Sparsity of the Strong Lottery Ticket Hypothesis
  54. Collaboratively adding new knowledge to an LLM
  55. TimeSeriesExam: A time series understanding exam
  56. Are AI Detectors Good Enough? A Survey on Quality of Datasets With Machine-Generated Texts
  57. Self-supervised contrastive learning performs non-linear system identification
  58. BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities
  59. SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures
  60. DiscoGraMS: Enhancing Movie Screen-Play Summarization using Movie Character-Aware Discourse Graph
  61. Real-time Factuality Assessment from Adversarial Feedback
  62. EvoPress: Accurate Dynamic Model Compression via Evolutionary Search
  63. Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs
  64. HR-Bandit: Human-AI Collaborated Linear Recourse Bandit
  65. Convergence of Manifold Filter-Combine Networks
  66. GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence Embeddings
  67. Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
  68. Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
  69. On the Regularization of Learnable Embeddings for Time Series Forecasting
  70. SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity
  71. CELI: Controller-Embedded Language Model Interactions
  72. You Shall Know a Tool by the Traces it Leaves: The Predictability of Sentiment Analysis Tools
  73. Enhancing AI Accessibility in Veterinary Medicine: Linking Classifiers and Electronic Health Records
  74. syren-new: Precise formulae for the linear and nonlinear matter power spectra with massive neutrinos and dynamical dark energy
  75. JAMUN: Bridging Smoothed Molecular Dynamics and Score-Based Learning for Conformational Ensembles
  76. Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions
  77. MultiOrg: A Multi-rater Organoid-detection Dataset
  78. Learning to Control the Smoothness of Graph Convolutional Network Features
  79. Data Diversity as Implicit Regularization: How Does Diversity Shape the Weight Space of Deep Neural Networks?
  80. Teaching Models to Balance Resisting and Accepting Persuasion
  81. DRACO-DehazeNet: An Efficient Image Dehazing Network Combining Detail Recovery and a Novel Contrastive Learning Paradigm
  82. Temporal Fair Division of Indivisible Items
  83. Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach
  84. A Lipschitz spaces view of infinitely wide shallow neural networks
  85. Dialetto, ma Quanto Dialetto? Transcribing and Evaluating Dialects on a Continuum
  86. Learning With Multi-Group Guarantees For Clusterable Subpopulations
  87. Neuro-Symbolic Traders: Assessing the Wisdom of AI Crowds in Markets
  88. Neural Combinatorial Clustered Bandits for Recommendation Systems
  89. MCSFF: Multi-modal Consistency and Specificity Fusion Framework for Entity Alignment
  90. Do LLMs estimate uncertainty well in instruction-following?
  91. Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selection
  92. Towards Unsupervised Validation of Anomaly-Detection Models
  93. Large Language Models Are Overparameterized Text Encoders
  94. Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability
  95. TransBox: EL++-closed Ontology Embedding
  96. Understanding the Difficulty of Low-Precision Post-Training Quantization for LLMs
  97. Measuring Diversity: Axioms and Challenges
  98. Boosting K-means for Big Data by Fusing Data Streaming with Global Optimization
  99. Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization
  100. Computational Grounding of Responsibility Attribution and Anticipation in LTLf
  101. Diffusion-based Semi-supervised Spectral Algorithm for Regression on Manifolds
  102. A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification
  103. Comparing Differentiable and Dynamic Ray Tracing: Introducing the Multipath Lifetime Map
  104. The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs
  105. Using Sentiment and Technical Analysis to Predict Bitcoin with Machine Learning
  106. Domain Adaptive Safety Filters via Deep Operator Learning
  107. Less is More: Selective Reduction of CT Data for Self-Supervised Pre-Training of Deep Learning Models with Contrastive Learning Improves Downstream Classification Performance
  108. Rethinking Distance Metrics for Counterfactual Explainability
  109. Do LLMs "know" internally when they follow instructions?
  110. Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media
  111. Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict
  112. Neural Real-Time Recalibration for Infrared Multi-Camera Systems
  113. An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
  114. CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers for Causally Constrained Predictions
  115. Interventional Processes for Causal Uncertainty Quantification
  116. Combining Entropy and Matrix Nuclear Norm for Enhanced Evaluation of Language Models
  117. Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups
  118. Enhancing Cryptocurrency Market Forecasting: Advanced Machine Learning Techniques and Industrial Engineering Contributions
  119. How Do Training Methods Influence the Utilization of Vision Models?
  120. Flow-Based Sampling for Entanglement Entropy and the Machine Learning of Defects
  121. Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
  122. LUDVIG: Learning-Free Uplifting of 2D Visual Features to Gaussian Splatting Scenes
  123. The Propensity for Density in Feed-forward Models
  124. Toward Generalizing Visual Brain Decoding to Unseen Subjects
  125. Learning to refine domain knowledge for biological network inference
  126. A Bioinformatic Approach Validated Utilizing Machine Learning Algorithms to Identify Relevant Biomarkers and Crucial Pathways in Gallbladder Cancer
  127. Predicting time-varying flux and balance in metabolic systems using structured neural-ODE processes
  128. Integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction
  129. Asymptotic non-linear shrinkage and eigenvector overlap for weighted sample covariance
  130. An explainable machine learning approach for energy forecasting at the household level
  131. WeSpeR: Computing non-linear shrinkage formulas for the weighted sample covariance
  132. SNAC: Multi-Scale Neural Audio Codec
  133. Asymptotic spectrum of weighted sample covariance: another proof of spectrum convergence
  134. Fact Recall, Heuristics or Pure Guesswork? Precise Interpretations of Language Models for Fact Completion
  135. Variable Aperture Bokeh Rendering via Customized Focal Plane Guidance
  136. Generative AI, Pragmatics, and Authenticity in Second Language Learning
  137. Context-Aware or Context-Insensitive? Assessing LLMs' Performance in Document-Level Translation
  138. Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
  139. SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery
  140. Unscrambling disease progression at scale: fast inference of event permutations with optimal transport
  141. How Do Multilingual Language Models Remember Facts?
  142. Investigating the Capabilities of Deep Learning for Processing and Interpreting One-Shot Multi-offset GPR Data: A Numerical Case Study for Lunar and Martian Environments
  143. Dual-Label Learning With Irregularly Present Labels
  144. AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
  145. Causal Fine-Tuning under Latent Confounded Shift
  146. Impact of imperfect annotations on CNN training and performance for instance segmentation and classification in digital pathology
  147. Efficiently Computing Susceptibility to Context in Language Models
  148. Assistive AI for Augmenting Human Decision-making
  149. A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles
  150. 2D-3D Deformable Image Registration of Histology Slide and Micro-CT with ML-based Initialization
  151. Critical Questions Generation: Motivation and Challenges
  152. Evaluating the Evaluators: Towards Human-aligned Metrics for Missing Markers Reconstruction
  153. Fast proxy centers for Jeffreys centroids: The Jeffreys-Fisher-Rao and the inductive Gauss-Bregman centers
  154. Debiasing Mini-Batch Quadratics for Applications in Deep Learning
  155. Optimizing importance weighting in the presence of sub-population shifts
  156. Game Theory with Simulation in the Presence of Unpredictable Randomisation
  157. Transferring Tactile Data Across Sensors
  158. LoGU: Long-form Generation with Uncertainty Expressions
  159. SwaQuAD-24: QA Benchmark Dataset in Swahili
  160. Advanced Underwater Image Quality Enhancement via Hybrid Super-Resolution Convolutional Neural Networks and Multi-Scale Retinex-Based Defogging Techniques
  161. Takin-ADA: Emotion Controllable Audio-Driven Animation with Canonical and Landmark Loss Optimization
  162. You Only Look Twice! for Failure Causes Identification of Drill Bits
  163. PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models
  164. EcomEdit: An Automated E-commerce Knowledge Editing Framework for Enhanced Product and Purchase Intention Understanding
  165. REEF: Representation Encoding Fingerprints for Large Language Models
  166. FINDER: Stochastic Mirroring of Noisy Quasi-Newton Search and Deep Network Training
  167. On time series clustering with k-means
  168. MoDification: Mixture of Depths Made Easy
  169. Beyond Binary: Towards Fine-Grained LLM-Generated Text Detection via Role Recognition and Involvement Measurement
  170. Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas
  171. RAZOR: Refining Accuracy by Zeroing Out Redundancies
  172. Vision-Language Navigation with Energy-Based Policy
  173. Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models
  174. PReP: Efficient context-based shape retrieval for missing parts
  175. Pseudo-label Refinement for Improving Self-Supervised Learning Systems
  176. Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
  177. Storyboard guided Alignment for Fine-grained Video Action Recognition
  178. A Novel Method to Metigate Demographic and Expert Bias in ICD Coding with Causal Inference
  179. Unveiling Large Language Models Generated Texts: A Multi-Level Fine-Grained Detection Framework
  180. Few-Shot Joint Multimodal Entity-Relation Extraction via Knowledge-Enhanced Cross-modal Prompt Model
  181. G-NeuroDAVIS: A Neural Network model for generalized embedding, data visualization and sample generation
  182. Formal Explanations for Neuro-Symbolic AI
  183. Comparative Evaluation of Clustered Federated Learning Methods
  184. Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation
  185. Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning
  186. Flexi-Fuzz least squares SVM for Alzheimer's diagnosis: Tackling noise, outliers, and class imbalance
  187. MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations
  188. Rationale Behind Essay Scores: Enhancing S-LLM's Multi-Trait Essay Scoring with Rationale Generated by LLMs
  189. Text-to-Image Representativity Fairness Evaluation Framework
  190. Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis
  191. Speciesism in Natural Language Processing Research
  192. xPerT: Extended Persistence Transformer
  193. Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
  194. Combining Hough Transform and Deep Learning Approaches to Reconstruct ECG Signals From Printouts
  195. In-context Learning for Mixture of Linear Regressions: Existence, Generalization and Training Dynamics
  196. LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs
  197. XForecast: Evaluating Natural Language Explanations for Time Series Forecasting
  198. Feature Augmentation based Test-Time Adaptation
  199. Auto Detecting Cognitive Events Using Machine Learning on Pupillary Data
  200. DaRePlane: Direction-aware Representations for Dynamic Scene Reconstruction
  201. LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems
  202. Automated Genre-Aware Article Scoring and Feedback Using Large Language Models
  203. Optimal DLT-based Solutions for the Perspective-n-Point
  204. Unlabeled Action Quality Assessment Based on Multi-dimensional Adaptive Constrained Dynamic Time Warping
  205. A Mirror Descent Perspective of Smoothed Sign Descent
  206. Wireless Human-Machine Collaboration in Industry 5.0
  207. Utilizing Large Language Models for Event Deconstruction to Enhance Multimodal Aspect-Based Sentiment Analysis
  208. Leveraging Large Language Models for Enhancing Public Transit Services
  209. CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models
  210. CAPE: A Chinese Dataset for Appraisal-based Emotional Generation using Large Language Models
  211. A Lightweight Multi Aspect Controlled Text Generation Solution For Large Language Models
  212. Hierarchical Conditional Multi-Task Learning for Streamflow Modeling
  213. ViConsFormer: Constituting Meaningful Phrases of Scene Texts using Transformer-based Method in Vietnamese Text-based Visual Question Answering
  214. Deep Learning Applications in Medical Image Analysis: Advancements, Challenges, and Future Directions
  215. Estimating the Causal Effects of T Cell Receptors
  216. Towards Robust Transcription: Exploring Noise Injection Strategies for Training Data Augmentation
  217. FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection
  218. Skill Generalization with Verbs
  219. Improving Graph Neural Networks by Learning Continuous Edge Directions
  220. Transfer Learning on Transformers for Building Energy Consumption Forecasting -- A Comparative Study
  221. DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
  222. Multi-Source Spatial Knowledge Understanding for Immersive Visual Text-to-Speech
  223. Enhancing In-vehicle Multiple Object Tracking Systems with Embeddable Ising Machines
  224. Efficient Sparse PCA via Block-Diagonalization
  225. Towards Effective Planning Strategies for Dynamic Opinion Networks
  226. Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process