mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 5 Mar 2024

293 papers

  1. Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMsLLM agents and tool use → Agent threats, guardrails and governance
  2. RACE-SM: Reinforcement Learning Based Autonomous Control for Social On-Ramp MergingDeep reinforcement learning methods → RL for autonomous driving and traffic
  3. Learning to Maximize Mutual Information for Chain-of-Thought DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
  4. Enhancing Vision-Language Pre-training with Rich SupervisionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  5. Guardrail Baselines for Unlearning in LLMsLLM safety and security → Machine unlearning
  6. Book2Dial: Generating Teacher-Student Interactions from Textbooks for Cost-Effective Development of Educational ChatbotsKnowledge distillation → Knowledge distillation for LLMs
  7. Should We Fear Large Language Models? A Structural Analysis of the Human Reasoning System for Elucidating LLM Capabilities and Risks Through the Lens of Heidegger's PhilosophyLLM reasoning → Reasoning benchmarks and evaluation
  8. Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation TasksOffline RL and imitation learning from data → Robot manipulation imitation learning
  9. The WMDP Benchmark: Measuring and Reducing Malicious Use With UnlearningLLM safety and security → Safety alignment, refusal and guardrails
  10. Scaling Rectified Flow Transformers for High-Resolution Image SynthesisDiffusion models → Diffusion foundations and sampling
  11. CLEVR-POC: Reasoning-Intensive Visual Question Answering in Partially Observable EnvironmentsLLM reasoning → Multimodal reasoning
  12. Triple-CFN: Separating Concepts and Features Enhances Machine Abstract Reasoning AbilityLLM reasoning → Multimodal reasoning
  13. Reliable, Adaptable, and Attributable Language Models with RetrievalRetrieval-augmented generation → Generation and context integration
  14. Correlated Proxies: A New Definition and Improved Mitigation for Reward HackingLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
  15. Behavior Generation with Latent ActionsDiffusion models → Diffusion and flow policies for robotics
  16. SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation DetectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  17. Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End EngineeringMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  18. Language Guided Exploration for RL Agents in Text EnvironmentsLLM agents and tool use → Reinforcement learning for LLM agents
  19. KnowAgent: Knowledge-Augmented Planning for LLM-Based AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  20. NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion ModelsDiffusion models → Audio, speech and music
  21. Distributed Policy Gradient for Linear Quadratic Networked Control with Limited Communication RangeDeep reinforcement learning methods → RL for games and combinatorial optimization
  22. Learning to Use Tools via Cooperative and Interactive AgentsLLM agents and tool use → Tool learning and function calling
  23. Socratic Reasoning Improves Positive Text RewritingLLM reasoning → Reasoning benchmarks and evaluation
  24. SplAgger: Split Aggregation for Meta-Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  25. OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction FollowingLLM agents and tool use → Multimodal and embodied agents
  26. Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  27. Mitigating Label Flipping Attacks in Malicious URL Detectors Using Ensemble TreesLLM safety and security → Backdoor and data poisoning attacks
  28. MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language TransformerEfficient LLM inference and serving → Visual token pruning in multimodal models
  29. Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer NetworksLLM safety and security → Federated unlearning and poisoning
  30. Multi-modal Instruction Tuned LLMs with Fine-grained Visual PerceptionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  31. AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge AugmentationLLM agents and tool use → Social simulation and multi-agent debate
  32. On the Asymptotic Mean Square Error Optimality of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  33. Fuzzy Datalog^exists over Arbitrary t-NormsLLM reasoning → Reasoning benchmarks and evaluation
  34. ImgTrojan: Jailbreaking Vision-Language Models with ONE ImageMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
  35. MMoFusion: Multi-modal Co-Speech Motion Generation with Diffusion ModelDiffusion models → Audio, speech and music
  36. MathScale: Scaling Instruction Tuning for Mathematical ReasoningLLM reasoning → Mathematical reasoning
  37. Autonomous vehicle decision and control through reinforcement learning with traffic flow randomizationEnd-to-end autonomous driving → Reinforcement learning for driving +1
  38. Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image EnhancementDiffusion models → Inverse problems and image restoration
  39. ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
  40. Tuning-Free Noise Rectification for High Fidelity Image-to-Video GenerationDiffusion models → Video generation
  41. Here Comes The AI Worm: Unleashing Zero-click Worms that Target GenAI-Powered ApplicationsLLM safety and security → Prompt injection and agent security
  42. PromptKD: Unsupervised Prompt Distillation for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  43. A Zero-Shot Reinforcement Learning Strategy for Autonomous Guidewire NavigationDeep reinforcement learning methods → RL for clinical treatment and surgery
  44. Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine LearningDiffusion models → Flow matching, time series and science
  45. HINTs: Sensemaking on large collections of documents with Hypergraph visualization and INTelligent agentsLLM agents and tool use → Web, search, and research agents
  46. CURATRON: Complete and Robust Preference Data for Rigorous Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  47. Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door AdjustmentLLM reasoning → Prompting and chain-of-thought reasoning
  48. Android in the Zoo: Chain-of-Action-Thought for GUI AgentsLLM reasoning → Multimodal reasoning +1
  49. RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn SketchesOffline RL and imitation learning from data → Robot manipulation imitation learning
  50. Enhancing Generalization in Medical Visual Question Answering Tasks via Gradient-Guided Model PerturbationMultimodal LLMs / vision-language models → Medical vision-language models
  51. InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
  52. Finetuned Multimodal Language Models Are High-Quality Image-Text Data FiltersMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  53. Interactive Continual Learning: Fast and Slow ThinkingLLM reasoning → Multimodal reasoning
  54. World Models for Autonomous Driving: An Initial SurveyWorld models → World models for autonomous driving +1
  55. Exploring the Limitations of Large Language Models in Compositional Relation ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  56. TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of ExpertsMixture-of-experts → MoE for time series and graphs
  57. VEglue: Testing Visual Entailment Systems via Object-Aligned Joint ErasingLLM reasoning → Multimodal reasoning
  58. ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature SummaryLLM agents and tool use → Web, search, and research agents
  59. Eliciting Better Multilingual Structured Reasoning from LLMs through CodeLLM reasoning → Reasoning benchmarks and evaluation
  60. The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN)Multimodal LLMs / vision-language models → Medical vision-language models +1
  61. PPFlow: Target-aware Peptide Design with Torsional Flow Matching
  62. Towards Measuring and Modeling "Culture" in LLMs: A Survey
  63. Understanding the Transit Gap: A Comparative Study of On-Demand Bus Services and Urban Climate Resilience in South End, Charlotte, NC and Avondale, Chattanooga, TN
  64. Deep Generative Models for Ultra-High Granularity Particle Physics Detector Simulation: A Voyage From Emulation to Extrapolation
  65. ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular Modeling
  66. Simple Full-Spectrum Correlated k-Distribution Model based on Multilayer Perceptron
  67. Tel2Veh: Fusion of Telecom Data and Vehicle Flow to Predict Camera-Free Traffic via a Spatio-Temporal Framework
  68. Shapley Values-Powered Framework for Fair Reward Split in Content Produced by GenAI
  69. Data-Driven Ergonomic Risk Assessment of Complex Hand-intensive Manufacturing Processes
  70. Pruning neural network models for gene regulatory dynamics using data and domain knowledge
  71. AttentionStitch: How Attention Solves the Speech Editing Problem
  72. Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
  73. (Un)paired signal-to-signal translation with 1D conditional GANs
  74. AI Literacy in Low-Resource Languages:Insights from creating AI in Yoruba videos
  75. JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models
  76. Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding
  77. CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver
  78. Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations
  79. TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations
  80. F3Loc: Fusion and Filtering for Floorplan Localization
  81. Leveraging Federated Learning for Automatic Detection of Clopidogrel Treatment Failures
  82. Level Set Teleportation: An Optimization Perspective
  83. Chained Information-Theoretic bounds and Tight Regret Rate for Linear Bandit Problems
  84. The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa
  85. Hypothesis Spaces for Deep Learning
  86. A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images
  87. Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation
  88. Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse
  89. DIVERSE: A Dataset of YouTube Video Comment Stances with a Data Programming Model
  90. Federated Learning over Connected Modes
  91. An Ensemble Framework for Explainable Geospatial Machine Learning Models
  92. AnatoMix: Anatomy-aware Data Augmentation for Multi-organ Segmentation
  93. Deep Configuration Performance Learning: A Systematic Survey and Taxonomy
  94. Collision Avoidance Verification of Multiagent Systems with Learned Policies
  95. Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm
  96. Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic Data
  97. Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification
  98. Large Language Models for Document-Level Event-Argument Data Augmentation for Challenging Role Types
  99. CenterDisks: Real-time instance segmentation with disk covering
  100. Proper vs Improper Quantum PAC learning
All 293
  1. AI Insights: A Case Study on Utilizing ChatGPT Intelligence for Research Paper Analysis
  2. Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data
  3. Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits
  4. ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures
  5. From Noise to Signal: Unveiling Treatment Effects from Digital Health Data through Pharmacology-Informed Neural-SDE
  6. DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation
  7. Neural Network Learning and Quantum Gravity
  8. Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
  9. Note: Harnessing Tellurium Nanoparticles in the Digital Realm Plasmon Resonance, in the Context of Brewster's Angle and the Drude Model for Fake News Adsorption in Incomplete Information Games
  10. Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
  11. FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation
  12. LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits
  13. Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion
  14. Active Statistical Inference
  15. MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets
  16. Towards Democratized Flood Risk Management: An Advanced AI Assistant Enabled by GPT-4 for Enhanced Interpretability and Public Engagement
  17. Cradle: Empowering Foundation Agents Towards General Computer Control
  18. How Well Can Transformers Emulate In-context Newton's Method?
  19. Shuffling Momentum Gradient Algorithm for Convex Optimization
  20. Unifying and Certifying Top-Quality Planning
  21. MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting
  22. Solving the Clustering Reasoning Problems by Modeling a Deep-Learning-Based Probabilistic Model
  23. Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination
  24. Learning Explicitly Conditioned Sparsifying Transforms
  25. PARADISE: Evaluating Implicit Planning Skills of Language Models with Procedural Warnings and Tips Dataset
  26. Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks
  27. PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning
  28. Rethinking Clustered Federated Learning in NOMA Enhanced Wireless Networks
  29. Quantum Many-Body Physics Calculations with Large Language Models
  30. Deep-Learned Compression for Radio-Frequency Signal Classification
  31. Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks
  32. Dual Mean-Teacher: An Unbiased Semi-Supervised Framework for Audio-Visual Source Localization
  33. Simplicity in Complexity : Explaining Visual Complexity using Deep Segmentation Models
  34. CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following
  35. NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors
  36. Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution
  37. Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation
  38. Equilibria in Two-Stage Facility Location with Atomic Clients
  39. Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection
  40. Emergent Equivariance in Deep Ensembles
  41. "In Dialogues We Learn": Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning
  42. Cross Pseudo-Labeling for Semi-Supervised Audio-Visual Source Localization
  43. VQSynery: Robust Drug Synergy Prediction With Vector Quantization Mechanism
  44. Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
  45. MiKASA: Multi-Key-Anchor & Scene-Aware Transformer for 3D Visual Grounding
  46. Detecting Concrete Visual Tokens for Multimodal Machine Translation
  47. On a Neural Implementation of Brenier's Polar Factorization
  48. Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families
  49. CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections
  50. Machine Learning Assisted Adjustment Boosts Efficiency of Exact Inference in Randomized Controlled Trials
  51. Neural Codebook Design for Network Beam Management
  52. Adding Multimodal Capabilities to a Text-only Translation Model
  53. A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives
  54. Unifying Controller Design for Stabilizing Nonlinear Systems with Norm-Bounded Control Inputs
  55. Word Importance Explains How Prompts Affect Language Model Outputs
  56. CRISPR: Ensemble Model
  57. The Case for Evaluating Multimodal Translation Models on Text Datasets
  58. Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations
  59. Scalable and Calibrated Sampling for Bayesian Generalized Linear Mixed Model via Stochastic Gradient Markov Chain Monte Carlo
  60. Mem-elements based Neuromorphic Hardware for Neural Network Application
  61. Localized Zeroth-Order Prompt Optimization
  62. Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges
  63. Evolution Transformer: In-Context Evolutionary Optimization
  64. Doubly Abductive Counterfactual Inference for Text-based Image Editing
  65. A General and Flexible Multi-concept Parsing Framework for Multilingual Semantic Matching
  66. Online Learning of Human Constraints from Feedback in Shared Autonomy
  67. Hamiltonian Property Testing
  68. Non-convex Stochastic Composite Optimization with Polyak Momentum
  69. Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
  70. ChatGPT and biometrics: an assessment of face recognition, gender detection, and age estimation capabilities
  71. WikiTableEdit: A Benchmark for Table Editing by Natural Language Instruction
  72. XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
  73. SQLBench: A Comprehensive Evaluation for Text-to-SQL Capabilities of Large Language Models
  74. A general approach to enhance the survivability of backdoor attacks by decision path coupling
  75. SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators
  76. Unsupervised Learning Approaches for Identifying ICU Patient Subgroups: Do Results Generalise?
  77. Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity
  78. PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Papers
  79. AIx Speed: Playback Speed Optimization Using Listening Comprehension of Speech Recognition Models
  80. AdAM: Adaptive Fault-Tolerant Approximate Multiplier for Edge DNN Accelerators
  81. RulePrompt: Weakly Supervised Text Classification with Prompting PLMs and Self-Iterative Logical Rules
  82. A Second Look on BASS -- Boosting Abstractive Summarization with Unified Semantic Graphs -- A Replication Study
  83. From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer Model
  84. TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmax
  85. Cross-Domain Image Conversion by CycleDM
  86. DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
  87. Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems
  88. Gaze-Vector Estimation in the Dark with Temporally Encoded Event-driven Neural Networks
  89. Citizen Science and Machine Learning for Research and Nature Conservation: The Case of Eurasian Lynx, Free-ranging Rodents and Insects
  90. Demonstrating Mutual Reinforcement Effect through Information Flow
  91. A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
  92. Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
  93. Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning
  94. Enhancing Long-Term Person Re-Identification Using Global, Local Body Part, and Head Streams
  95. InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers
  96. Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion Decoders
  97. Revisiting Confidence Estimation: Towards Reliable Failure Prediction
  98. Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples
  99. A General Reduction for High-Probability Analysis with General Light-Tailed Distributions
  100. Quantum Mixed-State Self-Attention Network
  101. Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices
  102. Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation
  103. FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models
  104. An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4
  105. SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix
  106. An Adaptive Hydropower Management Approach for Downstream Ecosystem Preservation
  107. Sparse View Tomographic Reconstruction of Elongated Objects using Learned Primal-Dual Networks
  108. Are Dense Labels Always Necessary for 3D Object Detection from Point Cloud?
  109. InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting
  110. Linear quadratic control of nonlinear systems with Koopman operator learning and the Nystr"om method
  111. Dynamic Gaussian Graph Operator: Learning parametric partial differential equations in arbitrary discrete mechanics problems
  112. Towards Robust Federated Learning via Logits Calibration on Non-IID Data
  113. DPPA: Pruning Method for Large Language Model to Model Merging
  114. Evaluating and Optimizing Educational Content with Large Language Model Judgments
  115. A Distance Metric Learning Model Based On Variational Information Bottleneck
  116. Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease
  117. DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation with Unsupervised Domain Adaptation
  118. Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances
  119. Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos
  120. Data Collaboration Analysis with Orthonormal Basis Selection and Alignment
  121. EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs
  122. Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives
  123. HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes
  124. DeconfuseTrack:Dealing with Confusion for Multi-Object Tracking
  125. G4-Attention: Deep Learning Model with Attention for predicting DNA G-Quadruplexes
  126. Emerging Synergies Between Large Language Models and Machine Learning in Ecommerce Recommendations
  127. In-Memory Learning: A Declarative Learning Framework for Large Language Models
  128. Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models
  129. Learning Group Activity Features Through Person Attribute Prediction
  130. Speckle Noise Reduction in Ultrasound Images using Denoising Auto-encoder with Skip Connection
  131. Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels
  132. Towards Training A Chinese Large Language Model for Anesthesiology
  133. State-Constrained Zero-Sum Differential Games with One-Sided Information
  134. Neural Fractional Differential Equations
  135. Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery
  136. A Two-Stage Training Method for Modeling Constrained Systems With Neural Networks
  137. HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?
  138. Bias in Generative AI
  139. Minimum Topology Attacks for Graph Neural Networks
  140. Multi-Scale Subgraph Contrastive Learning
  141. DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation
  142. Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models
  143. DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization
  144. Breeze-7B Technical Report
  145. FastOcc: Accelerating 3D Occupancy Prediction by Fusing the 2D Bird's-Eye View and Perspective View
  146. Fighting Game Adaptive Background Music for Improved Gameplay
  147. Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment
  148. Noise misleads rotation invariant algorithms on sparse targets
  149. Controllable Prompt Tuning For Balancing Group Distributional Robustness
  150. MeanCache: User-Centric Semantic Caching for LLM Web Services
  151. Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
  152. Deep Common Feature Mining for Efficient Video Semantic Segmentation
  153. DOCTOR: Dynamic On-Chip Temporal Variation Remediation Toward Self-Corrected Photonic Tensor Accelerators
  154. Enhanced DareFightingICE Competitions: Sound Design and AI Competitions
  155. Extending echo state property for quantum reservoir computing
  156. Learning to Defer to a Population: A Meta-Learning Approach
  157. Time Weaver: A Conditional Time Series Generation Model
  158. SGD with Partial Hessian for Deep Neural Networks Optimization
  159. Revisiting Meta-evaluation for Grammatical Error Correction
  160. Learning at the Speed of Wireless: Online Real-Time Learning for AI-Enabled MIMO in NextG
  161. Few-shot Learner Parameterization by Diffusion Time-steps
  162. Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
  163. FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model
  164. DT-DDNN: A Physical Layer Security Attack Detector in 5G RF Domain for CAVs
  165. UFO: Uncertainty-aware LiDAR-image Fusion for Off-road Semantic Terrain Map Estimation
  166. HoloVIC: Large-scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative
  167. False Positive Sampling-based Data Augmentation for Enhanced 3D Object Detection Accuracy
  168. BSDP: Brain-inspired Streaming Dual-level Perturbations for Online Open World Object Detection
  169. PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement Learning
  170. FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
  171. Towards Geometric-Photometric Joint Alignment for Facial Mesh Registration
  172. Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use
  173. Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects
  174. Training Machine Learning models at the Edge: A Survey
  175. Unsupervised Spatio-Temporal State Estimation for Fine-grained Adaptive Anomaly Diagnosis of Industrial Cyber-physical Systems
  176. Large Language Models and Video Games: A Preliminary Scoping Review
  177. A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning
  178. ChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation
  179. Search Intenion Network for Personalized Query Auto-Completion in E-Commerce
  180. DNNLasso: Scalable Graph Learning for Matrix-Variate Data
  181. MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising
  182. Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
  183. Pooling Image Datasets With Multiple Covariate Shift and Imbalance
  184. MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods
  185. Improving Event Definition Following For Zero-Shot Event Detection
  186. What do we learn from inverting CLIP models?
  187. Geometric Dynamics of Signal Propagation Predict Trainability of Transformers
  188. AceMap: Knowledge Discovery through Academic Graph
  189. Learning-augmented Online Minimization of Age of Information and Transmission Costs
  190. DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training
  191. Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning
  192. Systemic Biases in Sign Language AI Research: A Deaf-Led Call to Reevaluate Research Agendas
  193. Semantic Human Mesh Reconstruction with Textures