mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 26 Feb 2024

282 papers

  1. DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug DesignDiffusion models → Flow matching, time series and science
  2. Retrieval Augmented Generation Systems: Automatic Dataset Creation, Evaluation and Boolean Agent SetupRetrieval-augmented generation → RAG pipeline design and evaluation +1
  3. Read and Think: An Efficient Step-wise Multimodal Language Model for Document Understanding and ReasoningLLM reasoning → Multimodal reasoning +1
  4. A Surprising Failure? Multimodal LLMs and the NLVR ChallengeMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  5. A Fine-tuning Enhanced RAG System with Quantized Influence Measure as AI JudgeRetrieval-augmented generation → RAG pipeline design and evaluation
  6. Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational testDeep reinforcement learning methods → RL for autonomous driving and traffic
  7. Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical TrialsDeep reinforcement learning methods → RL for clinical treatment and surgery
  8. Discovering Abstract Symbolic Relations by Learning Unitary Group RepresentationsLLM reasoning → Mathematical reasoning
  9. A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of DataDiffusion models → Diffusion foundations and sampling
  10. WIPI: A New Web Threat for LLM-Driven Web AgentsLLM agents and tool use → Agent threats, guardrails and governance
  11. LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming LanguageLLM reasoning → Prompting and chain-of-thought reasoning
  12. Minimize Control Inputs for Strong Structural Controllability Using Reinforcement Learning with Graph Neural NetworkDeep reinforcement learning methods → RL for games and combinatorial optimization
  13. m2mKD: Module-to-Module Knowledge Distillation for Modular TransformersMixture-of-experts → Expert routing strategies +1
  14. GROUNDHOG: Grounding Large Language Models to Holistic SegmentationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  15. Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive DecodingLLM reasoning → Test-time compute and efficient thinking
  16. Do Large Language Models Latently Perform Multi-Hop Reasoning?LLM reasoning → Knowledge- and tool-augmented reasoning
  17. PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  18. Eight Methods to Evaluate Robust Unlearning in LLMsLLM safety and security → Machine unlearning
  19. Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual SpaceMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  20. SKILL: Similarity-aware Knowledge distILLation for Speech Self-Supervised LearningKnowledge distillation → Speech and audio distillation
  21. GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuningRetrieval-augmented generation → Generation and context integration
  22. Language Agents as Optimizable GraphsLLM agents and tool use → General LLM agent frameworks and benchmarks
  23. Rainbow Teaming: Open-Ended Generation of Diverse Adversarial PromptsLLM safety and security → Prompt injection and agent security
  24. Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
  25. Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)World models → World models for autonomous driving +2
  26. CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language ModelsLLM safety and security → Jailbreaking
  27. Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMsLLM agents and tool use → General LLM agent frameworks and benchmarks
  28. Program-Based Strategy Induction for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  29. LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic SurgeryMultimodal LLMs / vision-language models → Medical vision-language models
  30. Learning Based NMPC Adaptation for Autonomous Driving using Parallelized Digital TwinEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  31. GenAINet: Enabling Wireless Collective Intelligence via Knowledge Transfer and ReasoningLLM reasoning → Reasoning for agents, planning and code
  32. Contextualized Diffusion Models for Text-Guided Image and Video GenerationDiffusion models → Image generation, text-to-image and editing
  33. Rethinking Negative Instances for Generative Named Entity RecognitionLLM reasoning → Multimodal reasoning
  34. Multi-Bit Distortion-Free Watermarking for Large Language ModelsLLM safety and security → Watermarking generated content and models
  35. Aligning Large Language Models to a Domain-specific Graph Database for NL2GQLLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  36. QF-tuner: Breaking Tradition in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  37. Model-based deep reinforcement learning for accelerated learning from flow simulationsDeep reinforcement learning methods → RL with diffusion and flow models
  38. LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text ClassificationKnowledge distillation → Federated, robust and private distillation
  39. Stochastic Conditional Diffusion Models for Robust Semantic Image SynthesisDiffusion models → Image generation, text-to-image and editing
  40. LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent EnvironmentsLLM agents and tool use → Reinforcement learning for LLM agents
  41. Defending LLMs against Jailbreaking Attacks via BacktranslationLLM safety and security → Jailbreaking
  42. RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
  43. Outline-Guided Object Inpainting with Diffusion ModelsDiffusion models → Medical imaging and segmentation
  44. Generative AI in Vision: A Survey on Models, Metrics and ApplicationsDiffusion models → Image generation, text-to-image and editing
  45. LLM Inference Unveiled: Survey and Roofline Model InsightsEfficient LLM inference and serving → Serving systems and request scheduling
  46. Feedback Efficient Online Fine-Tuning of Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
  47. MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMsLLM reasoning → Mathematical reasoning +1
  48. C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control TheoryOffline RL and imitation learning from data → Imitation learning methods
  49. Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement SimulationLLM agents and tool use → Social simulation and multi-agent debate
  50. Achieving Instance-dependent Sample Complexity for Constrained Markov Decision ProcessDeep reinforcement learning methods → RL theory and sample complexity
  51. Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  52. Referee Can Play: An Alternative Approach to Conditional Generation via Model InversionDiffusion models → Image generation, text-to-image and editing
  53. Graph Diffusion Policy OptimizationDiffusion models → Diffusion and flow policies for robotics +1
  54. BlockFUL: Enabling Unlearning in Blockchained Federated LearningLLM safety and security → Federated unlearning and poisoning
  55. Leveraging Pre-trained CNNs for Efficient Feature Extraction in Rice Leaf Disease Classification
  56. Enhancing Kubernetes Automated Scheduling with Deep Learning and Reinforcement Techniques for Large-Scale Cloud Computing Optimization
  57. Addressing the regulatory gap: moving towards an EU AI audit ecosystem beyond the AI Act by including civil society
  58. Multiple Access in the Era of Distributed Computing and Edge Intelligence
  59. MIP: CLIP-based Image Reconstruction from PEFT Gradients
  60. HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy
  61. Beyond Predictive Algorithms in Child Welfare
  62. Representing Pedagogic Content Knowledge Through Rough Sets
  63. QASE Enhanced PLMs: Improved Control in Text Generation for MRC
  64. Social Orientation: A New Feature for Dialogue Analysis
  65. Adapting to Teammates in a Cooperative Language Game
  66. InteraRec: Screenshot Based Recommendations Using Multimodal Large Language Models
  67. Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing
  68. DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models
  69. Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random
  70. Introducing User Feedback-based Counterfactual Explanations (UFCE)
  71. Neural Radiance Fields in Medical Imaging: A Survey
  72. EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams
  73. Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs
  74. EEG classifier cross-task transfer to avoid training sessions in robot-assisted rehabilitation
  75. DAGnosis: Localized Identification of Data Inconsistencies using Structures
  76. Learnability of high-dimensional targets by two-parameter models and gradient flow
  77. A Note on Bayesian Networks with Latent Root Variables
  78. Deconstructing the Veneer of Simplicity: Co-Designing Introductory Generative AI Workshops with Local Entrepreneurs
  79. Parallelized Spatiotemporal Binding
  80. Asphalt Concrete Characterization Using Digital Image Correlation: A Systematic Review of Best Practices, Applications, and Future Vision
  81. Hyperdimensional Representation Learning for Node Classification and Link Prediction
  82. Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of Phi-Mutual Information
  83. Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions
  84. HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
  85. A Multi-Fidelity Methodology for Reduced Order Models with High-Dimensional Inputs
  86. An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey
  87. Towards Generalizing Inferences from Trials to Target Populations
  88. Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems
  89. REFACTOR: Learning to Extract Theorems from Proofs
  90. Offline Writer Identification Using Convolutional Neural Network Activation Features
  91. Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling
  92. A Curious Case of Remarkable Resilience to Gradient Attacks via Fully Convolutional and Differentiable Front End with a Skip Connection
  93. Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings
  94. Z-AGI Labs at ClimateActivism 2024: Stance and Hate Event Detection on Social Media
  95. Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset
  96. Pandora's White-Box: Precise Training Data Detection and Extraction in Large Language Models
  97. DiffuCOMET: Contextual Commonsense Knowledge Diffusion
  98. MindRef: Mimicking Human Memory for Hierarchical Reference Retrieval with Fine-Grained Location Awareness
  99. Benchmarking LLMs on the Semantic Overlap Summarization Task
  100. What Do Language Models Hear? Probing for Auditory Representations in Language Models
All 282
  1. Towards Decoding Brain Activity During Passive Listening of Speech
  2. GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis
  3. inGRASS: Incremental Graph Spectral Sparsification via Low-Resistance-Diameter Decomposition
  4. Long Dialog Summarization: An Analysis
  5. Saliency-Aware Automatic Buddhas Statue Recognition
  6. Algorithmic Arbitrariness in Content Moderation
  7. An inexact Bregman proximal point method and its acceleration version for unbalanced optimal transport
  8. Dealing with Data for RE: Mitigating Challenges while using NLP and Generative AI
  9. Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections
  10. A Survey of Large Language Models in Cybersecurity
  11. Disentangled 3D Scene Generation with Layout Learning
  12. FedReview: Review and Dispose Poisoned Updates without Validation Datasets or Historic Knowledge
  13. Incremental Concept Formation over Visual Images Without Catastrophic Forgetting
  14. TrustMol: Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics
  15. CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision
  16. On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem
  17. Theoretical Unification of the Fractured Aspects of Information
  18. Personalized Federated Instruction Tuning via Neural Architecture Search
  19. InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning
  20. Neural Operators with Localized Integral and Differential Kernels
  21. Multi-LoRA Composition for Image Generation
  22. Asymmetry in Low-Rank Adapters of Foundation Models
  23. MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT
  24. Training Neural Networks from Scratch with Parallel Low-Rank Adapters
  25. A Survey on Data Selection for Language Models
  26. Efficient 3D affinely equivariant CNNs with adaptive fusion of augmented spherical Fourier-Bessel bases
  27. Nemotron-4 15B Technical Report
  28. Investigating the Effectiveness of HyperTuning via Gisting
  29. Box Facets and Cut Facets of Lifted Multicut Polytopes
  30. Stopping Bayesian Optimization with Probabilistic Regret Bounds
  31. OncoGPT: A Medical Conversational Model Tailored with Oncology Domain Expertise on a Large Language Model Meta-AI (LLaMA)
  32. Multi-Human Mesh Recovery with Transformers
  33. Set the Clock: Temporal Alignment of Pretrained Language Models
  34. Expressive Whole-Body Control for Humanoid Robots
  35. If in a Crowdsourced Data Annotation Pipeline, a GPT-4
  36. Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent
  37. Rate-Optimal Rank Aggregation with Private Pairwise Rankings
  38. Beyond Self-learned Attention: Mitigating Attention Bias in Transformer-based Models Using Attention Guidance
  39. Why Transformers Need Adam: A Hessian Perspective
  40. Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models
  41. CARTE: Pretraining and Transfer for Tabular Learning
  42. On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective
  43. A Comprehensive Evaluation of Quantization Strategies for Large Language Models
  44. Video-Based Autism Detection with Deep Learning
  45. Neural population geometry and optimal coding of tasks with shared latent structure
  46. Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval
  47. CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks
  48. ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks
  49. Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems
  50. MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model
  51. Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization
  52. Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding
  53. Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification
  54. PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures
  55. Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials
  56. An Overview of the Development of Stereotactic Body Radiation Therapy
  57. Quantum Transformer: Accelerating model inference via quantum linear algebra
  58. l1-norm regularized l1-norm best-fit lines
  59. Cost Aware Best Arm Identification
  60. SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
  61. Generating Effective Ensembles for Sentiment Analysis
  62. Look Before You Leap: Towards Decision-Aware and Generalizable Tool-Usage for Large Language Models
  63. HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization
  64. Adaptation of Biomedical and Clinical Pretrained Models to French Long Documents: A Comparative Study
  65. On the connection between Noise-Contrastive Estimation and Contrastive Divergence
  66. Automated Floodwater Depth Estimation Using Large Multimodal Model for Rapid Flood Mapping
  67. Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference
  68. Enhancing Continuous Domain Adaptation with Multi-Path Transfer Curriculum
  69. ConSept: Continual Semantic Segmentation via Adapter-based Vision Transformer
  70. StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
  71. RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation
  72. UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images
  73. Penalized Generative Variable Selection
  74. GigaPevt: Multimodal Medical Assistant
  75. A Comprehensive Survey of Belief Rule Base (BRB) Hybrid Expert system: Bridging Decision Science and Professional Services
  76. ESG Sentiment Analysis: comparing human and language model performance including GPT
  77. Towards Open-ended Visual Quality Comparison
  78. DRSI-Net: Dual-Residual Spatial Interaction Network for Multi-Person Pose Estimation
  79. Differentiable Particle Filtering using Optimal Placement Resampling
  80. Boosting Skull-Stripping Performance for Pediatric Brain Images
  81. Domain Embeddings for Generating Complex Descriptions of Concepts in Italian Language
  82. Long-Context Language Modeling with Parallel Context Encoding
  83. PAQA: Toward ProActive Open-Retrieval Question Answering
  84. GVA: Reconstructing Vivid 3D Gaussian Avatars from Monocular Videos
  85. Resolution-Agnostic Neural Compression for High-Fidelity Portrait Video Conferencing via Implicit Radiance Fields
  86. PCR-99: A Practical Method for Point Cloud Registration with 99 Percent Outliers
  87. Tracking Semantic Change in Slovene: A Novel Dataset and Optimal Transport-Based Distance
  88. CURSOR: Scalable Mixed-Order Hypergraph Matching with CUR Decomposition
  89. Improving the JPEG-resistance of Adversarial Attacks on Face Recognition by Interpolation Smoothing
  90. Searching a Lightweight Network Architecture for Thermal Infrared Pedestrian Tracking
  91. Pretrained Visual Uncertainties
  92. Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models
  93. Partial Rankings of Optimizers
  94. Beyond Accuracy: An Empirical Study on Unit Testing in Open-source Deep Learning Projects
  95. Label Learning Method Based on Tensor Projection
  96. RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots
  97. Integrating Large Language Models with Graphical Session-Based Recommendation
  98. Discovering Artificial Viscosity Models for Discontinuous Galerkin Approximation of Conservation Laws using Physics-Informed Machine Learning
  99. Generative Pretrained Hierarchical Transformer for Time Series Forecasting
  100. Enhancement of 3D Camera Synthetic Training Data with Noise Models
  101. Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision
  102. Memory GAPS: Would LLMs pass the Tulving Test?
  103. Intelligent Known and Novel Aircraft Recognition -- A Shift from Classification to Similarity Learning for Combat Identification
  104. On Languaging a Simulation Engine
  105. A kernel-based analysis of Laplacian Eigenmaps
  106. Edge Detectors Can Make Deep Convolutional Neural Networks More Robust
  107. DCVSMNet: Double Cost Volume Stereo Matching Network
  108. mEdIT: Multilingual Text Editing via Instruction Tuning
  109. Unveiling Vulnerability of Self-Attention
  110. Learning to Schedule Online Tasks with Bandit Feedback
  111. ID-XCB: Data-independent Debiasing for Fair and Accurate Transformer-based Cyberbullying Detection
  112. Performance Comparison of Surrogate-Assisted Evolutionary Algorithms on Computational Fluid Dynamics Problems
  113. Online Efficient Safety-Critical Control for Mobile Robots in Unknown Dynamic Multi-Obstacle Environments
  114. ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors
  115. On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions
  116. Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models
  117. Training Implicit Generative Models via an Invariant Statistical Loss
  118. RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions
  119. COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing
  120. Predicting Sustainable Development Goals Using Course Descriptions -- from LLMs to Conventional Foundation Models
  121. TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
  122. Stable Training of Normalizing Flows for High-dimensional Variational Inference
  123. CMC: Few-shot Novel View Synthesis via Cross-view Multiplane Consistency
  124. From RAGs to riches: Utilizing large language models to write documents for clinical trials
  125. Graph Learning with Distributional Edge Layouts
  126. Temporal Persistence and Intercorrelation of Embeddings Learned by an End-to-End Deep Learning Eye Movement-driven Biometrics Pipeline
  127. Investigating Deep Watermark Security: An Adversarial Transferability Perspective
  128. Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
  129. MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property
  130. Leave-One-Out-, Bootstrap- and Cross-Conformal Anomaly Detectors
  131. On the Generalization Capability of Temporal Graph Learning Algorithms: Theoretical Insights and a Simpler Method
  132. Self Supervised Correlation-based Permutations for Multi-View Clustering
  133. Immunization against harmful fine-tuning attacks
  134. An Automated End-to-End Open-Source Software for High-Quality Text-to-Speech Dataset Generation
  135. TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement
  136. Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning
  137. DEYO: DETR with YOLO for End-to-End Object Detection
  138. SPINEPS -- Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation
  139. Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications
  140. SPC-NeRF: Spatial Predictive Compression for Voxel Based Radiance Field
  141. Where Do We Go from Here? Multi-scale Allocentric Relational Inference from Natural Spatial Descriptions
  142. Layer-wise Regularized Dropout for Neural Language Models
  143. An Integrated Data Processing Framework for Pretraining Foundation Models
  144. What Text Design Characterizes Book Genres?
  145. Language-guided Skill Learning with Temporal Variational Inference
  146. An optimal tradeoff between entanglement and copy complexity for state tomography
  147. Impression-CLIP: Contrastive Shape-Impression Embedding for Fonts
  148. CodeS: Towards Building Open-source Language Models for Text-to-SQL
  149. Boosting Graph Pooling with Persistent Homology
  150. Contingency Planning Using Bi-level Markov Decision Processes for Space Missions
  151. BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM
  152. A Provably Accurate Randomized Sampling Algorithm for Logistic Regression
  153. Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech
  154. Data-free Weight Compress and Denoise for Large Language Models
  155. Gradient-Guided Modality Decoupling for Missing-Modality Robustness
  156. Chain-of-Discussion: A Multi-Model Framework for Complex Evidence-Based Question Answering
  157. Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
  158. Cross-domain Chinese Sentence Pattern Parsing
  159. REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories
  160. Conformalized Selective Regression
  161. Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning
  162. MV-Swin-T: Mammogram Classification with Multi-view Swin Transformer
  163. A Poisson-Gamma Dynamic Factor Model with Time-Varying Transition Dynamics
  164. SaRPFF: A Self-Attention with Register-based Pyramid Feature Fusion module for enhanced RLD detection
  165. PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering
  166. A Comparison of Deep Learning Models for Proton Background Rejection with the AMS Electromagnetic Calorimeter
  167. RobKiNet: Robotic Kinematics Informed Neural Network for Optimal Robot Configuration Prediction
  168. Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation
  169. A Self-matching Training Method with Annotation Embedding Models for Ontology Subsumption Prediction
  170. From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto
  171. Foundation Model Transparency Reports
  172. Infrared and Visible Image Fusion with Language-Driven Loss in CLIP Embedding Space
  173. UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval
  174. Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models
  175. SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud Tracking
  176. Topic-to-essay generation with knowledge-based content selection
  177. Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition
  178. Real-Time Vehicle Detection and Urban Traffic Behavior Analysis Based on UAV Traffic Videos on Mobile Devices
  179. HSONet:A Siamese foreground association-driven hard case sample optimization network for high-resolution remote sensing image change detection
  180. Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee
  181. Human-AI Co-Creation of Worked Examples for Programming Classes
  182. GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series