mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 24 Jun 2024

322 papers

  1. Visualization Literacy of Multimodal Large Language Models: A Comparative StudyMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  2. The Effects of Embodiment and Personality Expression on Learning in LLM-based Educational AgentsLLM agents and tool use → Social simulation and multi-agent debate
  3. RaCIL: Ray Tracing based Multi-UAV Obstacle Avoidance through Composite Imitation LearningOffline RL and imitation learning from data → Imitation learning methods +1
  4. Mooncake: A KVCache-centric Disaggregated Architecture for LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
  5. Training-Free Exponential Context Extension via Cascading KV CacheEfficient LLM inference and serving → KV cache optimization
  6. CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis GenerationRetrieval-augmented generation → Legal and financial RAG
  7. Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  8. Reinforcement Learning via Auxiliary Task DistillationDeep reinforcement learning methods → RL for robot locomotion and manipulation
  9. Peirce in the Machine: How Mixture of Experts Models Perform Hypothesis ConstructionMixture-of-experts → MoE theory and gating functions
  10. MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  11. Measuring the Measurers: Quality Evaluation of Hallucination Benchmarks for Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  12. FaceScore: Benchmarking and Enhancing Face Quality in Human GenerationDiffusion models → Image generation, text-to-image and editing
  13. Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-MakingDeep reinforcement learning methods → Deep RL algorithms and representations
  14. Model-Free Robust Reinforcement Learning with Sample Complexity AnalysisDeep reinforcement learning methods → RL theory and sample complexity
  15. BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language ModelsLLM safety and security → Backdoor and data poisoning attacks
  16. Tolerance of Reinforcement Learning Controllers against Deviations in Cyber Physical SystemsDeep reinforcement learning methods → Safe and constrained RL
  17. At First Sight: Zero-Shot Classification of Astronomical Images with Large Multimodal ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  18. Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational EfficiencyKnowledge distillation → Distillation for medical imaging
  19. modeLing: A Novel Dataset for Testing Linguistic Reasoning in Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  20. Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine LearningRetrieval-augmented generation → RAG pipeline design and evaluation
  21. Machine Unlearning with Minimal Gradient Dependence for High Unlearning RatiosLLM safety and security → Machine unlearning
  22. Revisiting Referring Expression Comprehension Evaluation in the Era of Large Multimodal ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  23. StableNormal: Reducing Diffusion Variance for Stable and Sharp NormalDiffusion models → 3D, point cloud and scene generation
  24. FreeTraj: Tuning-Free Trajectory Control in Video Diffusion ModelsDiffusion models → Video generation
  25. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  26. EAGLE-2: Faster Inference of Language Models with Dynamic Draft TreesEfficient LLM inference and serving → Speculative decoding
  27. Long Context Transfer from Language to VisionMultimodal LLMs / vision-language models → Video understanding with MLLMs
  28. Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long ContextsLLM reasoning → Multimodal reasoning +1
  29. Ragnar"ok: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation TrackRetrieval-augmented generation → RAG pipeline design and evaluation
  30. General Binding Affinity Guidance for Diffusion Models in Structure-Based Drug DesignDiffusion models → Flow matching, time series and science
  31. GPT-4V Explorations: Mining Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
  32. How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning PerspectiveLLM safety and security → Machine unlearning
  33. Exploring the Capability of Mamba in Speech ApplicationsState-space sequence models (S4, Mamba) → Speech and audio SSMs
  34. Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  35. M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  36. WARP: On the Benefits of Weight Averaged Rewarded PoliciesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  37. Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized DraftersEfficient LLM inference and serving → Speculative decoding
  38. Bandits with Preference Feedback: A Stackelberg Game PerspectiveLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  39. Safety Alignment of Large Language Models via Contrasting Safe and Harmful DistributionsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  40. Agent-Driven Automatic Software ImprovementLLM agents and tool use → Software engineering coding agents
  41. Venturing into Uncharted Waters: The Navigation Compass from Transformer to MambaState-space sequence models (S4, Mamba) → Core SSM architectures for language
  42. Probabilistic Subgoal Representations for Hierarchical Reinforcement learningDeep reinforcement learning methods → Deep RL algorithms and representations
  43. Geometry-Aware Score Distillation via 3D Consistent Noising and Gradient Consistency ModelingDiffusion models → 3D, point cloud and scene generation
  44. Repulsive Latent Score Distillation for Solving Inverse ProblemsDiffusion models → Inverse problems and image restoration
  45. Large Language Models Are Cross-Lingual Knowledge-Free ReasonersLLM reasoning → Reasoning benchmarks and evaluation
  46. OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-ConquerLLM agents and tool use → Multimodal and embodied agents
  47. CLEAR: Can Language Models Really Understand Causal Graphs?LLM reasoning → Causal reasoning in LLMs
  48. Data Augmentation of Multi-turn Psychological Dialogue via Knowledge-driven Progressive Thought PromptingLLM reasoning → Reasoning benchmarks and evaluation
  49. Noisy Neighbors: Efficient membership inference attacks against LLMsLLM safety and security → Membership inference attacks
  50. EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
  51. LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-trainingMixture-of-experts → MoE large language models
  52. Evaluating the Ability of Large Language Models to Reason about Cardinal DirectionsLLM reasoning → Reasoning benchmarks and evaluation
  53. Enhancing OOD Detection Using Latent DiffusionDiffusion models → Medical imaging and segmentation
  54. The Privileged Students: On the Value of Initialization in Multilingual Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
  55. Vision Mamba-based autonomous crack segmentation on concrete, asphalt, and masonry surfacesState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  56. Alpha2: Discovering Logical Formulaic Alphas using Deep Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
  57. OTCE: Hybrid SSM and Attention with Cross Domain Mixture of Experts to construct Observer-Thinker-Conceiver-ExpresserLLM reasoning → Test-time compute and efficient thinking +2
  58. eagerlearners at SemEval2024 Task 5: The Legal Argument Reasoning Task in Civil ProcedureLLM reasoning → Reasoning for agents, planning and code
  59. Towards Comprehensive Preference Data Collection for Reward ModelingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  60. DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-ResolutionDiffusion models → Inverse problems and image restoration
  61. ResMaster: Mastering High-Resolution Image Generation via Structural and Fine-Grained GuidanceDiffusion models → Diffusion foundations and sampling
  62. Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM CollaborationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  63. Guardrails for avoiding harmful medical product recommendations and off-label promotion in generative AI modelsLLM safety and security → Safety alignment, refusal and guardrails
  64. Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  65. EmoLLM: Multimodal Emotional Understanding Meets Large Language ModelsMultimodal LLMs / vision-language models → Multimodal emotion understanding
  66. Theory on Mixture-of-Experts in Continual LearningMixture-of-experts → Mixture of LoRA experts
  67. Fault Detection for agents on power grid topology optimization: A Comprehensive analysisDeep reinforcement learning methods → RL for energy, networks and operations
  68. On the Transformations across Reward Model, Parameter Update, and In-Context PromptLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  69. KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
  70. On the Role of Long-tail Knowledge in Retrieval Augmented Large Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
  71. Directed Domain Fine-Tuning: Tailoring Separate Modalities for Specific Training TasksMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  72. VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  73. Prompt-Consistency Image Generation (PCIG): A Unified Framework Integrating LLMs, Knowledge Graphs, and Controllable Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  74. What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and EvaluationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
  75. Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models?LLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  76. Anomaly Detection of Tabular Data Using LLMsLLM reasoning → Knowledge- and tool-augmented reasoning
  77. Cascade Reward Sampling for Efficient Decoding-Time AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  78. Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial LabelsDeep reinforcement learning methods → RL training of language and agent models
  79. YouDream: Generating Anatomically Controllable Consistent Text-to-3D AnimalsDiffusion models → 3D, point cloud and scene generation
  80. Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature EnhancementDiffusion models → Image generation, text-to-image and editing
  81. Video-Infinity: Distributed Long Video GenerationDiffusion models → Video generation
  82. MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from InterventionLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  83. Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-TuningLLM safety and security → Machine unlearning
  84. Uncertainty-Aware Reward-Free Exploration with General Function ApproximationDeep reinforcement learning methods → Deep RL algorithms and representations
  85. Assessing the role of clinical summarization and patient chart review within communications, medical management, and diagnostics
  86. Modulating Language Model Experiences through Frictions
  87. Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving
  88. SimClone: Detecting Tabular Data Clones using Value Similarity
  89. Digital Twinning of a Pressurized Water Reactor Startup Operation and Partial Computational Offloading in In-network Computing-Assisted Multiaccess Edge Computing
  90. LionGuard: Building a Contextualized Moderation Classifier to Tackle Localized Unsafe Content
  91. Panza: Design and Analysis of a Fully-Local Personalized Text Writing Assistant
  92. AlleNoise: large-scale text classification benchmark dataset with real-world label noise
  93. Classification of Geological Borehole Descriptions Using a Domain Adapted Large Language Model
  94. MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models
  95. BitNet b1.58 Reloaded: State-of-the-art Performance Also on Smaller Networks
  96. A Deep Learning Framework for Three Dimensional Shape Reconstruction from Phaseless Acoustic Scattering Far-field Data
  97. Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation
  98. Lossless data compression by large models
  99. Anvil: An integration of artificial intelligence, sampling techniques, and a combined CAD-CFD tool
  100. neuROSym: Deployment and Evaluation of a ROS-based Neuro-Symbolic Model for Human Motion Prediction
All 322
  1. Compressing Search with Language Models
  2. Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
  3. Semantic Revolution from Communications to Orchestration for 6G: Challenges, Enablers, and Research Directions
  4. Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks
  5. Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time
  6. Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars
  7. CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
  8. PIC2O-Sim: A Physics-Inspired Causality-Aware Dynamic Convolutional Neural Operator for Ultra-Fast Photonic Device FDTD Simulation
  9. Towards a Science Exocortex
  10. EMVD dataset: a dataset of extreme vocal distortion techniques used in heavy metal
  11. Vaporetto: Efficient Japanese Tokenization Based on Improved Pointwise Linear Classification
  12. Minimax Optimality in Contextual Dynamic Pricing with General Valuation Models
  13. POPCat: Propagation of particles for complex annotation tasks
  14. Debiased Recommendation with Noisy Feedback
  15. Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks
  16. Robust Zero Trust Architecture: Joint Blockchain based Federated learning and Anomaly Detection based Framework
  17. Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis
  18. Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors
  19. Virtual Mines -- Component-level recycling of printed circuit boards using deep learning
  20. DEXTER: A Benchmark for open-domain Complex Question Answering using LLMs
  21. MixTeX: Data-Efficient LaTeX OCR via Synthetic Pretraining and Limited Fine-Tuning
  22. Quantifying Heterogeneous Ecosystem Services With Multi-Label Soft Classification
  23. Vastextures: Vast repository of textures and PBR materials extracted from real-world images using unsupervised methods
  24. GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism
  25. Testing network clustering algorithms with Natural Language Processing
  26. Bayesian temporal biclustering with applications to multi-subject neuroscience studies
  27. A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods
  28. Investigating Confidence Estimation Measures for Speaker Diarization
  29. Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone
  30. Speeding Up Image Classifiers with Little Companions
  31. Inception: Efficiently Computable Misinformation Attacks on Markov Games
  32. Integrating Generative AI with Network Digital Twins for Enhanced Network Operations
  33. GMT: Guided Mask Transformer for Leaf Instance Segmentation
  34. Automated Adversarial Discovery for Safety Classifiers
  35. Maximum Likelihood Estimation of the Direction of Sound In A Reverberant Noisy Environment
  36. Achieving Fairness Across Local and Global Models in Federated Learning
  37. Attention Instruction: Amplifying Attention in the Middle via Prompting
  38. Exploring Biomarker Relationships in Both Type 1 and Type 2 Diabetes Mellitus Through a Bayesian Network Analysis Approach
  39. BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals
  40. Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and Visualization
  41. Reducing the Memory Footprint of 3D Gaussian Splatting
  42. Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks
  43. Bayesian ICA with super-Gaussian Source Priors
  44. Large Language Models Assume People are More Rational than We Really are
  45. Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach
  46. Enhancing Scientific Figure Captioning Through Cross-modal Learning
  47. DWARF: Disease-weighted network for attention map refinement
  48. Meta-learning and Data Augmentation for Stress Testing Forecasting Models
  49. PVUW 2024 Challenge on Complex Video Understanding: Methods and Results
  50. Deep Survival Analysis from Adult and Pediatric Electrocardiograms: A Multi-center Benchmark Study
  51. Deep Learning for Prediction and Classifying the Dynamical behaviour of Piecewise Smooth Maps
  52. Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection
  53. Gate Recurrent Unit for Efficient Industrial Gas Identification
  54. tcrLM: a lightweight protein language model for predicting T cell receptor and epitope binding specificity
  55. Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks
  56. Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?
  57. Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
  58. AND: Audio Network Dissection for Interpreting Deep Acoustic Models
  59. MD tree: a model-diagnostic tree grown on loss landscape
  60. AI for Equitable Tennis Training: Leveraging AI for Equitable and Accurate Classification of Tennis Skill Levels and Training Phases
  61. Dreamitate: Real-World Visuomotor Policy Learning via Video Generation
  62. DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation
  63. GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
  64. From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking
  65. Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation
  66. Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection
  67. RaTEScore: A Metric for Radiology Report Generation
  68. Exploring Factual Entailment with NLI: A News Media Study
  69. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models
  70. Statistical Error Bounds for GANs with Nonlinear Objective Functionals
  71. USDC: A Dataset of underlineUser underlineStance and underlineDogmatism in Long underlineConversations
  72. Understanding and Mitigating Tokenization Bias in Language Models
  73. ClotheDreamer: Text-Guided Garment Generation with 3D Gaussians
  74. Improved Regret Bounds for Bandits with Expert Advice
  75. RES-Q: Evaluating Code-Editing Large Language Model Systems at the Repository Scale
  76. Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs
  77. Adam-mini: Use Fewer Learning Rates To Gain More
  78. Enabling more efficient and cost-effective AI/ML systems with Collective Mind, virtualized MLOps, MLPerf, Collective Knowledge Playground and reproducible optimization tournaments
  79. The Progression of Transformers from Language to Vision to MOT: A Literature Review on Multi-Object Tracking with Transformers
  80. Confidence Aware Inverse Constrained Reinforcement Learning
  81. It Is Not About What You Say, It Is About How You Say It: A Surprisingly Simple Approach for Improving Reading Comprehension
  82. Finding Transformer Circuits with Edge Pruning
  83. Blending LLMs into Cascaded Speech Translation: KIT's Offline Speech Translation System for IWSLT 2024
  84. Instance Consistency Regularization for Semi-Supervised 3D Instance Segmentation
  85. OlympicArena Medal Ranks: Who Is the Most Intelligent AI So Far?
  86. The GPT-WritingPrompts Dataset: A Comparative Analysis of Character Portrayal in Short Stories
  87. Conformal time series decomposition with component-wise exchangeability
  88. Addressing Polarization and Unfairness in Performative Prediction
  89. The MRI Scanner as a Diagnostic: Image-less Active Sampling
  90. Towards Zero-Shot Text-To-Speech for Arabic Dialects
  91. Inferring stochastic low-rank recurrent neural networks from neural data
  92. OCALM: Object-Centric Assessment with Language Models
  93. Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers
  94. The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources
  95. Extracting thin film structures of energy materials using transformers
  96. Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations
  97. Inducing Group Fairness in Prompt-Based Language Model Decisions
  98. CLIMATELI: Evaluating Entity Linking on Climate Change Data
  99. Convolutional neural network for Lyman break galaxies classification and redshift regression in DESI (Dark Energy Spectroscopic Instrument)
  100. CausalMMM: Learning Causal Structure for Marketing Mix Modeling
  101. μ-Net: A Deep Learning-Based Architecture for μ-CT Segmentation
  102. GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
  103. AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
  104. ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image
  105. CausalFormer: An Interpretable Transformer for Temporal Causal Discovery
  106. Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation
  107. Learning Interpretable Fair Representations
  108. Expected Runtime Comparisons Between Breadth-First Search and Constant-Depth Restarting Random Walks
  109. Public Constitutional AI
  110. Task Oriented In-Domain Data Augmentation
  111. Scaling Laws for Linear Complexity Language Models
  112. Coding schemes in neural networks learning classification tasks
  113. Link Prediction with Untrained Message Passing Layers
  114. A Comprehensive Review of Emerging Approaches in Machine Learning for De Novo PROTAC Design
  115. Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
  116. Computational Approaches to the Detection of Lesser-Known Rhetorical Figures: A Systematic Survey and Research Challenges
  117. CAVE: Controllable Authorship Verification Explanations
  118. Cubic regularized subspace Newton for non-convex optimization
  119. Data-driven Modeling in Metrology -- A Short Introduction, Current Developments and Future Perspectives
  120. Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin Methods
  121. Vision-Language Consistency Guided Multi-modal Prompt Learning for Blind AI Generated Image Quality Assessment
  122. Feature Fusion for Human Activity Recognition using Parameter-Optimized Multi-Stage Graph Convolutional Network and Transformer Models
  123. ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
  124. MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network
  125. Hacking a surrogate model approach to XAI
  126. Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis
  127. Generalized Dynamic Brain Functional Connectivity Based on Random Convolutions
  128. The Championship-Winning Solution for the 5th CLVISION Challenge 2024
  129. Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings
  130. Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances
  131. When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights
  132. Cherry on the Cake: Fairness is NOT an Optimization Problem
  133. Do As I Do: Pose Guided Human Motion Copy
  134. Measuring the Recyclability of Electronic Components to Assist Automatic Disassembly and Sorting Waste Printed Circuit Boards
  135. Toward Fairer Face Recognition Datasets
  136. Forecasting with Deep Learning: Beyond Average of Average of Average Performance
  137. Personalized federated learning based on feature fusion
  138. QuadrupedGPT: Towards a Versatile Quadruped Agent in Open-ended Worlds
  139. Differentiable Distributionally Robust Optimization Layers
  140. FASTC: A Fast Attentional Framework for Semantic Traversability Classification Using Point Cloud
  141. Are there identifiable structural parts in the sentence embedding whole?
  142. Efficient k-means with Individual Fairness via Exponential Tilting
  143. Homomorphisms and Embeddings of STRIPS Planning Models
  144. Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
  145. Hierarchical B-frame Video Coding for Long Group of Pictures
  146. Improving robustness to corruptions with multiplicative weight perturbations
  147. Character-Adapter: Prompt-Guided Region Control for High-Fidelity Character Customization
  148. C-LLM: Learn to Check Chinese Spelling Errors Character by Character
  149. Token-based Decision Criteria Are Suboptimal in In-context Learning
  150. GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization
  151. Conditional Bayesian Quadrature
  152. Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction Debiasing
  153. SyROCCo: Enhancing Systematic Reviews using Machine Learning
  154. NARRepair: Non-Autoregressive Code Generation Model for Automatic Program Repair
  155. Carrot and Stick: Inducing Self-Motivation with Positive & Negative Feedback
  156. Multi-Modal Vision Transformers for Crop Mapping from Satellite Image Time Series
  157. Large Vocabulary Size Improves Large Language Models
  158. Statistical ranking with dynamic covariates
  159. LOGCAN++: Adaptive Local-global class-aware network for semantic segmentation of remote sensing imagery
  160. UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification
  161. Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach
  162. Deepfake tweets automatic detection
  163. Robust prediction under missingness shifts
  164. Improving Quaternion Neural Networks with Quaternionic Activation Functions
  165. Emerging NeoHebbian Dynamics in Forward-Forward Learning: Implications for Neuromorphic Computing
  166. EMMI -- Empathic Multimodal Motivational Interviews Dataset: Analyses and Annotations
  167. D2SP: Dynamic Dual-Stage Purification Framework for Dual Noise Mitigation in Vision-based Affective Recognition
  168. The Hidden Pitfalls of the Cosine Similarity Loss
  169. SLOctolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in scanning laser ophthalmoscopy images
  170. InterCLIP-MEP: Interactive CLIP and Memory-Enhanced Predictor for Multi-modal Sarcasm Detection
  171. Suppressing Uncertainties in Degradation Estimation for Blind Super-Resolution
  172. Automated Privacy-Preserving Techniques via Meta-Learning
  173. Learning in Wilson-Cowan model for metapopulation
  174. Building on Efficient Foundations: Effectively Training LLMs with Structured Feedforward Layers
  175. UniCoder: Scaling Code Large Language Model via Universal Code
  176. Continual Test-Time Adaptation for Object Detection with Adaptive Monitoring and Randomized Restoration
  177. Multi-threshold Deep Metric Learning for Facial Expression Recognition
  178. Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation
  179. Memory-Enhanced Neural Solvers for Routing Problems
  180. Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
  181. Multilingual Knowledge Editing with Language-Agnostic Factual Neurons
  182. A Symmetry Property of Christoffel Words
  183. PenSLR: Persian end-to-end Sign Language Recognition Using Ensembling
  184. Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach
  185. High-resolution open-vocabulary object 6D pose estimation
  186. UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models
  187. UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding
  188. Inverse Rendering using Multi-Bounce Path Tracing and Reservoir Sampling
  189. Improving Generative Adversarial Networks for Video Super-Resolution
  190. Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
  191. Evaluation of Instruction-Following Ability for Large Language Models on Story-Ending Generation
  192. Compact Model Parameter Extraction via Derivative-Free Optimization
  193. METRIK: Measurement-Efficient Randomized Controlled Trials using Transformers with Input Masking
  194. AnnotatedTables: A Large Tabular Dataset with Language Model Annotations
  195. Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness
  196. EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
  197. DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
  198. Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging
  199. Lesion-Aware Cross-Phase Attention Network for Renal Tumor Subtype Classification on Multi-Phase CT Scans
  200. Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning
  201. Modelled Multivariate Overlap: A method for measuring vowel merger
  202. Song Data Cleansing for End-to-End Neural Singer Diarization Using Neural Analysis and Synthesis Framework
  203. Artistic-style text detector and a new Movie-Poster dataset
  204. UBiSS: A Unified Framework for Bimodal Semantic Summarization of Videos
  205. Landscaping Linear Mode Connectivity
  206. Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other
  207. Priorformer: A UGC-VQA Method with content and distortion priors
  208. Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning
  209. LangSuitE: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments
  210. Crowd-Sourced NeRF: Collecting Data from Production Vehicles for 3D Street View Reconstruction
  211. PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection
  212. Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation
  213. SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud
  214. Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection
  215. Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation
  216. Learning-Based Heavy Hitters and Flow Frequency Estimation in Streams
  217. One Thousand and One Pairs: A "novel" challenge for long-context language models
  218. User Story Tutor (UST) to Support Agile Software Developers
  219. Confidence Regulation Neurons in Language Models
  220. LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
  221. Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis
  222. An Optimal Tightness Bound for the Simulation Lemma