mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 31 May 2024

282 papers

  1. RAG Does Not Work for EnterprisesRetrieval-augmented generation → RAG pipeline design and evaluation
  2. Sifting through the Noise: A Survey of Diffusion Probabilistic Models and Their Applications to BiomoleculesDiffusion models → Flow matching, time series and science
  3. Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-TrainingLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG +1
  4. HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM AgentLLM agents and tool use → Software engineering coding agents
  5. Navigating Autonomous Vehicle on Unmarked Roads with Diffusion-Based Motion Prediction and Active InferenceEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  6. A-SDM: Accelerating Stable Diffusion through Model Assembly and Feature Inheritance StrategiesDiffusion models → Diffusion foundations and sampling
  7. Mamba State-Space Models Are Lyapunov-Stable LearnersState-space sequence models (S4, Mamba) → Core SSM architectures for language
  8. SNED: Superposition Network Architecture Search for Efficient Video Diffusion ModelDiffusion models → Video generation
  9. Reward Machines for Deep RL in Noisy and Uncertain EnvironmentsDeep reinforcement learning methods → Interpretable and logic-guided RL
  10. Bootstrap3D: Improving Multi-view Diffusion Model with Synthetic DataDiffusion models → 3D, point cloud and scene generation
  11. Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence ModelingState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models +2
  12. Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video AnalysisMultimodal LLMs / vision-language models → Video understanding with MLLMs
  13. Mixed Diffusion for 3D Indoor Scene SynthesisDiffusion models → 3D, point cloud and scene generation
  14. Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space DualityState-space sequence models (S4, Mamba) → Core SSM architectures for language
  15. Unified Directly Denoising for Both Variance Preserving and Variance Exploding Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  16. Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  17. Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent ModelingDiffusion models → Image generation, text-to-image and editing
  18. Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  19. Direct Alignment of Language Models via Quality-Aware Self-RefinementLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  20. Improved Techniques for Optimization-Based Jailbreaking on Large Language ModelsLLM safety and security → Jailbreaking
  21. StrucTexTv3: An Efficient Vision-Language Model for Text-rich Image Perception, Comprehension, and BeyondMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  22. Hard Cases Detection in Motion Prediction by Vision-Language Foundation ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  23. DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  24. Bayesian Design Principles for Offline-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  25. Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial TrainingLLM reasoning → Knowledge- and tool-augmented reasoning +1
  26. Amortizing intractable inference in diffusion models for vision, language, and controlDiffusion models → Diffusion foundations and sampling
  27. OR-Bench: An Over-Refusal Benchmark for Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  28. Learning to Estimate System Specifications in Linear Temporal Logic using Transformers and MambaState-space sequence models (S4, Mamba) → Core SSM architectures for language
  29. Fast yet Safe: Early-Exiting with Risk ControlEfficient LLM inference and serving → Early exit and edge inference
  30. Preemptive Answer "Attacks" on Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
  31. S4Fusion: Saliency-aware Selective State Space Model for Infrared Visible Image FusionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  32. Flow matching achieves almost minimax optimal convergenceDiffusion models → Flow matching, time series and science
  33. Enhancing Efficiency of Safe Reinforcement Learning via Sample ManipulationDeep reinforcement learning methods → Safe and constrained RL
  34. clembench-2024: A Challenging, Dynamic, Complementary, Multilingual Benchmark and Underlying Flexible Framework for LLMs as Multi-Action AgentsLLM agents and tool use → Reinforcement learning for LLM agents
  35. Improving Reward Models with Synthetic CritiquesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  36. Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal ReasoningLLM reasoning → Multimodal reasoning +2
  37. Self-Augmented Preference Optimization: Off-Policy Paradigms for Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  38. Ovis: Structural Embedding Alignment for Multimodal Large Language ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  39. InsightSee: Advancing Multi-agent Vision-Language Models for Enhanced Visual UnderstandingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
  40. Reinforcement Learning for SociohydrologyDeep reinforcement learning methods → RL for energy, networks and operations
  41. CoMoFusion: Fast and High-quality Fusion of Infrared and Visible Image with Consistency ModelDiffusion models → Image generation, text-to-image and editing
  42. Information Theoretic Text-to-Image AlignmentDiffusion models → Image generation, text-to-image and editing
  43. Diffusion Models Are Innate One-Step GeneratorsDiffusion models → Diffusion foundations and sampling
  44. Language Augmentation in CLIP for Improved Anatomy Detection on Multi-modal Medical ImagesMultimodal LLMs / vision-language models → Medical vision-language models
  45. In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-ThoughtLLM reasoning → Test-time compute and efficient thinking +1
  46. DiffPuter: Empowering Diffusion Models for Missing Data ImputationDiffusion models → Flow matching, time series and science
  47. Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → Generation and context integration
  48. Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion SamplingDiffusion models → Diffusion foundations and sampling
  49. 4Diffusion: Multi-view Video Diffusion Model for 4D GenerationDiffusion models → 3D, point cloud and scene generation
  50. Hybrid Fourier Score Distillation for Efficient One Image to 3D Object GenerationDiffusion models → 3D, point cloud and scene generation
  51. Mind the Inconspicuous: Revealing the Hidden Weakness in Aligned LLMs' Refusal BoundariesLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  52. GenMix: Combining Generative and Mixture Data Augmentation for Medical Image ClassificationDiffusion models → Medical imaging and segmentation
  53. Stochastic Optimal Control for Diffusion Bridges in Function SpacesDiffusion models → Diffusion foundations and sampling
  54. Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data SynthesisSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
  55. Disrupting Diffusion: Token-Level Attention Erasure Attack against Diffusion-based CustomizationDiffusion models → Robustness, privacy and adversarial aspects
  56. HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking ScenariosDeep reinforcement learning methods → RL for autonomous driving and traffic
  57. Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use CasesDeep reinforcement learning methods → RL for robot locomotion and manipulation
  58. Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
  59. A Framework for Spatio-Temporal Graph Analytics In Field Sports
  60. Open the Data! Chuvash Datasets
  61. Image captioning in different languages
  62. Understanding and Reducing the Class-Dependent Effects of Data Augmentation with A Two-Player Game Approach
  63. Learning Exemplar Representations in Single-Trial EEG Category Decoding
  64. ECGrecover: a Deep Learning Approach for Electrocardiogram Signal Completion
  65. The EarlyBird Gets the WORM: Heuristically Accelerating EarlyBird Convergence
  66. Generative AI voting: fair collective choice is resilient to LLM biases and inconsistencies
  67. Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory
  68. SocialNLP Fake-EmoReact 2021 Challenge Overview: Predicting Fake Tweets from Their Replies and GIFs
  69. Physics-enhanced Neural Operator for Simulating Turbulent Transport
  70. Representation of preferences for multiple criteria decision aiding in a new seven-valued logic
  71. LOLAMEME: Logic, Language, Memory, Mechanistic Framework
  72. Unveiling the Potential of AI for Nanomaterial Morphology Prediction
  73. Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling
  74. LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides
  75. QuST: QuPath Extension for Integrative Whole Slide Image and Spatial Transcriptomics Analysis
  76. A Comparative Study of CNN, ResNet, and Vision Transformers for Multi-Classification of Chest Diseases
  77. Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
  78. LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking
  79. ImplicitTerrain: a Continuous Surface Model for Terrain Data Analysis
  80. Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction
  81. Fairness in Autonomous Driving: Towards Understanding Confounding Factors in Object Detection under Challenging Weather
  82. The Explanation Necessity for Healthcare AI
  83. MVAD: A Multiple Visual Artifact Detector for Video Streaming
  84. Exfiltration of personal information from ChatGPT via prompt injection
  85. ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering
  86. Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision
  87. Learning topological states from randomized measurements using variational tensor network tomography
  88. Direct Cardiac Segmentation from Undersampled K-space Using Transformers
  89. Predicting solvation free energies with an implicit solvent machine learning potential
  90. Long-Span Question-Answering: Automatic Question Generation and QA-System Ranking via Side-by-Side Evaluation
  91. Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injection
  92. DYNA: Disease-Specific Language Model for Variant Pathogenicity
  93. On the referential capacity of language models: An internalist rejoinder to Mandelkern & Linzen
  94. Verification of Neural Network Control Systems in Continuous Time
  95. A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms using the Principles of Severity
  96. μLO: Compute-Efficient Meta-Generalization of Learned Optimizers
  97. Non-Federated Multi-Task Split Learning for Heterogeneous Sources
  98. Fair Allocation in Dynamic Mechanism Design
  99. A Survey of Deep Learning Audio Generation Methods
  100. Query2CAD: Generating CAD models using natural language queries
All 282
  1. Diversifying Query: Region-Guided Transformer for Temporal Sentence Grounding
  2. Advancing Ear Biometrics: Enhancing Accuracy and Robustness through Deep Learning
  3. Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
  4. Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach
  5. QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
  6. From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
  7. Training on the Edge of Stability Is Caused by Layerwise Jacobian Alignment
  8. VIBESegmentator: Full Body MRI Segmentation for the NAKO and UK Biobank
  9. Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration
  10. Empowering Visual Creativity: A Vision-Language Assistant to Image Editing Recommendations
  11. ADEP: A Novel Approach Based on Discriminator-Enhanced Encoder-Decoder Architecture for Accurate Prediction of Adverse Effects in Polypharmacy
  12. A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning
  13. Scalable Bayesian Learning with posteriors
  14. Heads, Tails, and AI Fails: LLMs, Randomness, and Human Judgments
  15. Augmentation-based Unsupervised Cross-Domain Functional MRI Adaptation for Major Depressive Disorder Identification
  16. From Structured to Unstructured:A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs
  17. An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing
  18. Arbitrary-Length Generalization for Addition in a Tiny Transformer
  19. A Novel Review of Stability Techniques for Improved Privacy-Preserving Machine Learning
  20. Latent Intrinsics Emerge from Training to Relight
  21. What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
  22. Code Pretraining Improves Entity Tracking Abilities of Language Models
  23. Recurrent neural networks: vanishing and exploding gradients are not the end of the story
  24. Neural Network Verification with Branch-and-Bound for General Nonlinearities
  25. Graph External Attention Enhanced Transformer
  26. An Organic Weed Control Prototype using Directed Energy and Deep Learning
  27. Grammar-Aligned Decoding
  28. An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction
  29. Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation
  30. Comparing the information content of probabilistic representation spaces
  31. Sparse-Group Boosting with Balanced Selection Frequencies: A Simulation-Based Approach and R Implementation
  32. A-PETE: Adaptive Prototype Explanations of Tree Ensembles
  33. Standards for Belief Representations in LLMs
  34. LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models
  35. Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles
  36. Compact Optimality Verification for Optimization Proxies
  37. You Only Scan Once: Efficient Multi-dimension Sequential Modeling with LightNet
  38. Beyond Conventional Parametric Modeling: Data-Driven Framework for Estimation and Prediction of Time Activity Curves in Dynamic PET Imaging
  39. MpoxSLDNet: A Novel CNN Model for Detecting Monkeypox Lesions and Performance Comparison with Pre-trained Models
  40. IGC-Net for conditional average potential outcome estimation over time
  41. Explaining Predictions by Characteristic Rules
  42. Towards a Fluid computer
  43. CWRCzech: 100M Query-Document Czech Click Dataset and Its Application to Web Relevance Ranking
  44. Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise
  45. Locking Machine Learning Models into Hardware
  46. Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging
  47. Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging
  48. Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function
  49. Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits
  50. Neural Gaussian Scale-Space Fields
  51. ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning
  52. SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
  53. LCQ: Low-Rank Codebook based Quantization for Large Language Models
  54. PUAL: A Classifier on Trifurcate Positive-Unlabeled Data
  55. Superlatives in Context: Modeling the Implicit Semantics of Superlatives
  56. Large Language Models are Zero-Shot Next Location Predictors
  57. Navigating Tabular Data Synthesis Research: Understanding User Needs and Tool Capabilities
  58. A Robot Walks into a Bar: Can Language Models Serve as Creativity Support Tools for Comedy? An Evaluation of LLMs' Humour Alignment with Comedians
  59. Aligning Multiclass Neural Network Classifier Criterion with Task Performance Metrics
  60. Monte Carlo Tree Search Satellite Scheduling Under Cloud Cover Uncertainty
  61. Effective Interplay between Sparsity and Quantization: From Theory to Practice
  62. Concentration Bounds for Optimized Certainty Equivalent Risk Estimation
  63. Flexible inference in heterogeneous and attributed multilayer networks
  64. Predicting ptychography probe positions using single-shot phase retrieval neural network
  65. Nonparametric regression on random geometric graphs sampled from submanifolds
  66. Enhancing Vision Models for Text-Heavy Content Understanding and Interaction
  67. VENI, VINDy, VICI: a generative reduced-order modeling framework with uncertainty quantification
  68. Large Language Models: A New Approach for Privacy Policy Analysis at Scale
  69. Correspondence Analysis and PMI-Based Word Embeddings: A Comparative Study
  70. MALT: Multi-scale Action Learning Transformer for Online Action Detection
  71. Sheaf HyperNetworks for Personalized Federated Learning
  72. Games with Payments between Learning Agents
  73. SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation
  74. Waveform Design for Over-the-Air Computing
  75. Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study
  76. Responsible AI for Earth Observation
  77. Automatic Channel Pruning for Multi-Head Attention
  78. ABodyBuilder3: Improved and scalable antibody structure predictions
  79. Parameter identification in linear non-Gaussian causal models under general confounding
  80. MeshXL: Neural Coordinate Field for Generative 3D Foundation Models
  81. Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning
  82. MegActor: Harness the Power of Raw Video for Vivid Portrait Animation
  83. SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice
  84. Don't Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models
  85. einspace: Searching for Neural Architectures from Fundamental Operations
  86. Fast training of accurate physics-informed neural networks without gradient descent
  87. Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs
  88. That's Optional: A Contemporary Exploration of "that" Omission in English Subordinate Clauses
  89. Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference
  90. Prediction of Local Failure after Stereotactic Radiotherapy in Melanoma Brain Metastases Using Ensemble Learning on Clinical, Dosimetric, and Radiomic Data
  91. Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
  92. Pursuing Overall Welfare in Federated Learning through Sequential Decision Making
  93. An iterated learning model of language change that mixes supervised and unsupervised learning
  94. Context-aware Difference Distilling for Multi-change Captioning
  95. Optimally Improving Cooperative Learning in a Social Setting
  96. The AI Alignment Paradox
  97. Multilingual Text Style Transfer: Datasets & Models for Indian Languages
  98. Shape Constraints in Symbolic Regression using Penalized Least Squares
  99. Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching
  100. Model Interpretation and Explainability: Towards Creating Transparency in Prediction Models
  101. MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting
  102. Intersectional Unfairness Discovery
  103. Improving Generalization and Convergence by Enhancing Implicit Regularization
  104. Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning
  105. Improving code-mixed hate detection by native sample mixing: A case study for Hindi-English code-mixed scenario
  106. OpenTensor: Reproducing Faster Matrix Multiplication Discovering Algorithms
  107. Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes
  108. Federated Random Forest for Partially Overlapping Clinical Data
  109. Maximum Temperature Prediction Using Remote Sensing Data Via Convolutional Neural Network
  110. Extreme Point Supervised Instance Segmentation
  111. GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning
  112. GI-NAS: Boosting Gradient Inversion Attacks Through Adaptive Neural Architecture Search
  113. Learning on Large Graphs using Intersecting Communities
  114. ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model
  115. Power of Cooperative Supervision: Multiple Teachers Framework for Enhanced 3D Semi-Supervised Object Detection
  116. Climate Variable Downscaling with Conditional Normalizing Flows
  117. Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
  118. Cyclic image generation using chaotic dynamics
  119. Revisiting Mutual Information Maximization for Generalized Category Discovery
  120. FinGen: A Dataset for Argument Generation in Finance
  121. ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments
  122. It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance
  123. Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement
  124. Self-degraded contrastive domain adaptation for industrial fault diagnosis with bi-imbalanced data
  125. R2-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction
  126. Conditioning GAN Without Training Dataset
  127. Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space
  128. Joint Embeddings for Graph Instruction Tuning
  129. No Free Lunch Theorem for Privacy-Preserving LLM Inference
  130. No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
  131. Provably Efficient Interactive-Grounded Learning with Personalized Reward
  132. Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations
  133. Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure
  134. Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation
  135. MASA: Motion-aware Masked Autoencoder with Semantic Alignment for Sign Language Recognition
  136. Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms
  137. DORY: Deliberative Prompt Recovery for LLM
  138. Automatic Counting and Classification of Mosquito Eggs in Field Traps
  139. Statistical inference for case-control logistic regression via integrating external summary data
  140. Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models
  141. Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
  142. Reward-based Input Construction for Cross-document Relation Extraction
  143. Shotluck Holmes: A Family of Efficient Small-Scale Large Language Vision Models For Video Captioning and Summarization
  144. LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
  145. Learning Gaze-aware Compositional GAN
  146. Learning Under Moral Hazard with Instrumental Regression and Generalized Method of Moments
  147. Heterophilous Distribution Propagation for Graph Neural Networks
  148. Skeleton-OOD: An End-to-End Skeleton-Based Model for Robust Out-of-Distribution Human Action Detection
  149. ToxVidLM: A Multimodal Framework for Toxicity Detection in Code-Mixed Videos
  150. Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning
  151. Leveraging Large Language Models for Entity Matching
  152. Sparse-ProxSkip: Accelerated Sparse-to-Sparse Training in Federated Learning
  153. Superfast Selection for Decision Tree Algorithms
  154. "Forgetting" in Machine Learning and Beyond: A Survey
  155. EPIDetect: Video-based convulsive seizure detection in chronic epilepsy mouse model for anti-epilepsy drug screening
  156. FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores
  157. UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
  158. Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in Lifted Compiled Code
  159. PrevMatch: Revisiting and Maximizing Temporal Knowledge in Semi-Supervised Semantic Segmentation
  160. Identifying while Learning for Document Event Causality Identification
  161. Textual Inversion and Self-supervised Refinement for Radiology Report Generation
  162. Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning
  163. Searching for internal symbols underlying deep learning
  164. Advancing Financial Risk Prediction Through Optimized LSTM Model Performance and Comparative Analysis
  165. Multi-label Class Incremental Emotion Decoding with Augmented Emotional Semantics Learning
  166. Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
  167. Deep Learning without Weight Symmetry
  168. LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis
  169. Weak-Form Inference for Hybrid Dynamical Systems in Ecology
  170. Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction
  171. Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity
  172. DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models
  173. GAMedX: Generative AI-based Medical Entity Data Extractor Using Large Language Models
  174. The Point of View of a Sentiment: Towards Clinician Bias Detection in Psychiatric Notes
  175. Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark
  176. Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders
  177. Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A feasibility study
  178. Information-driven design of imaging systems
  179. Certifying Global Robustness for Deep Neural Networks
  180. EM-Assist: Safe Automated ExtractMethod Refactoring with LLMs
  181. Uncertainty Quantification for Deep Learning
  182. Towards a General Recipe for Combinatorial Optimization with Multi-Filter GNNs