mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 23 Feb 2024

256 papers

  1. DOSA: A Dataset of Social Artifacts from Different Indian Geographical SubculturesLLM reasoning → Reasoning benchmarks and evaluation
  2. VISREAS: Complex Visual Reasoning with Unanswerable QuestionsLLM reasoning → Multimodal reasoning
  3. Brain-Inspired Two-Stage Approach: Enhancing Mathematical Reasoning by Imitating Human Thought ProcessesLLM reasoning → Mathematical reasoning
  4. An Empirical Study of Data Ability Boundary in LLMs' Math ReasoningLLM reasoning → Mathematical reasoning
  5. The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)Retrieval-augmented generation → Privacy and security of RAG
  6. Generative Models are Self-Watermarked: Declaring Model Authentication through Re-GenerationLLM safety and security → Watermarking generated content and models
  7. Combining Transformer based Deep Reinforcement Learning with Black-Litterman Model for Portfolio OptimizationDeep reinforcement learning methods → Adversarial robustness and RL in finance
  8. Uniformly Safe RL with Objective Suppression for Multi-Constraint Safety-Critical ApplicationsDeep reinforcement learning methods → Safe and constrained RL
  9. MambaIR: A Simple Baseline for Image Restoration with State-Space ModelState-space sequence models (S4, Mamba) → Mamba for image restoration
  10. Fine-Grained Self-Endorsement Improves Factuality and ReasoningLLM reasoning → Hallucination detection and mitigation
  11. Reinforcement Learning-Based Approaches for Enhancing Security and Resilience in Smart Control: A Survey on Attack and Defense MethodsDeep reinforcement learning methods → RL for energy, networks and operations
  12. Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language ReasoningLLM reasoning → Multimodal reasoning +1
  13. Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound AssumptionsDiffusion models → Diffusion foundations and sampling
  14. Distilling Adversarial Robustness Using Heterogeneous TeachersKnowledge distillation → Federated, robust and private distillation
  15. Fast Adversarial Attacks on Language Models In One GPU MinuteLLM safety and security → Jailbreaking
  16. Foundation Policies with Hilbert RepresentationsDeep reinforcement learning methods → Deep RL algorithms and representations
  17. AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent SystemLLM agents and tool use → General LLM agent frameworks and benchmarks
  18. AgentOhana: Design Unified Data and Training Pipeline for Effective Agent LearningLLM agents and tool use → General LLM agent frameworks and benchmarks
  19. Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of ExpertsMixture-of-experts → Vision mixture-of-experts
  20. Gen4Gen: Generative Data Pipeline for Generative Multi-Concept CompositionDiffusion models → Image generation, text-to-image and editing
  21. API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMsLLM agents and tool use → Tool learning and function calling
  22. Leveraging Domain Knowledge for Efficient Reward Modelling in RLHF: A Case-Study in E-Commerce Opinion SummarizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  23. ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic PerturbationDiffusion models → Robustness, privacy and adversarial aspects
  24. PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
  25. Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function ApproximationDeep reinforcement learning methods → RL theory and sample complexity
  26. Offline Inverse RL: New Solution Concepts and Provably Efficient AlgorithmsOffline RL and imitation learning from data → Inverse reinforcement learning
  27. Genie: Generative Interactive EnvironmentsWorld models → Video-generation world models and simulators
  28. Representing Online Handwriting for Recognition in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  29. How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queriesLLM safety and security → Safety alignment, refusal and guardrails
  30. Causal Graph Discovery with Retrieval-Augmented Generation based Large Language ModelsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  31. Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  32. Efficient State Space Model via Fast Tensor Convolution and Block DiagonalizationState-space sequence models (S4, Mamba) → Core SSM architectures for language
  33. Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion ModelsDiffusion models → Discrete and text diffusion
  34. When in Doubt, Think Slow: Iterative Reasoning with Latent ImaginationWorld models → World models for language agents
  35. MACRec: a Multi-Agent Collaboration Framework for RecommendationLLM agents and tool use → Agentic recommender systems
  36. ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase PartitionEfficient LLM inference and serving → KV cache optimization
  37. Label-efficient multi-organ segmentation with a diffusion modelDiffusion models → Medical imaging and segmentation
  38. Safety Optimized Reinforcement Learning via Multi-Objective Policy OptimizationDeep reinforcement learning methods → Safe and constrained RL
  39. Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized ControlDiffusion models → Diffusion and flow policies for robotics
  40. Break the Breakout: Reinventing LM Defense Against Jailbreak Attacks with Self-RefinementLLM safety and security → Jailbreaking
  41. The Surprising Effectiveness of Skip-Tuning in Diffusion SamplingDiffusion models → Diffusion foundations and sampling
  42. EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender SystemsDeep reinforcement learning methods → RL training of language and agent models
  43. Spatially-Aware Transformer for Embodied AgentsDeep reinforcement learning methods → Deep RL algorithms and representations
  44. Machine Unlearning of Pre-trained Large Language ModelsLLM safety and security → Machine unlearning
  45. Large Multimodal Agents: A SurveyLLM reasoning → Multimodal reasoning +1
  46. Remaining-data-free Machine Unlearning by Suppressing Sample ContributionLLM safety and security → Machine unlearning
  47. Trajectory-wise Iterative Reinforcement Learning Framework for Auto-biddingOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
  48. PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer LearningMixture-of-experts → Mixture of LoRA experts
  49. Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with ExplanationsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  50. On the Multi-turn Instruction Following for Conversational Web AgentsLLM agents and tool use → Web, search, and research agents
  51. Dynamics-Guided Diffusion Model for Sensor-less Robot Manipulator DesignDiffusion models → Diffusion and flow policies for robotics
  52. Attention-aware Semantic Communications for Collaborative Inference
  53. Long Short-Term Memory Pattern Recognition in Currency Trading
  54. Harnessing the Computing Continuum across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0
  55. AltGraph: Redesigning Quantum Circuits Using Generative Graph Models for Efficient Optimization
  56. LiMAML: Personalization of Deep Recommender Models via Meta Learning
  57. Towards a Theoretical Understanding of Two Tower Recommendation Models
  58. Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
  59. Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization
  60. Enhancing Mean-Reverting Time Series Prediction with Gaussian Processes: Functional and Augmented Data Structures in Financial Forecasting
  61. Executing Natural Language-Described Algorithms with Large Language Models: An Investigation
  62. Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models
  63. Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure
  64. On Trojan Signatures in Large Language Models of Code
  65. Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
  66. Chaotic attractor reconstruction using small reservoirs -- the influence of topology
  67. A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application
  68. Multi-Objective Learning for Deformable Image Registration
  69. Magnetic resonance delta radiomics to track radiation response in lung tumors receiving stereotactic MRI-guided radiotherapy
  70. Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm
  71. Fair Resource Allocation in Multi-Task Learning
  72. Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models
  73. Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization
  74. Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
  75. MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
  76. Learning Cyclic Causal Models from Incomplete Data
  77. Language-Based User Profiles for Recommendation
  78. Towards Efficient Active Learning in NLP via Pretrained Representations
  79. Data/moment-driven approaches for fast predictive control of collective dynamics
  80. Machine Learning-Based Completions Sequencing for Well Performance Optimization
  81. How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
  82. Differentially Private Fair Binary Classifications
  83. DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning
  84. Alternating Weak Triphone/BPE Alignment Supervision from Hybrid Model Improves End-to-End ASR
  85. Solving a class of stochastic optimal control problems by physics-informed neural networks
  86. RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface
  87. LLMs as Meta-Reviewers' Assistants: A Case Study
  88. A Study of Shape Modeling Against Noise
  89. Inference for Regression with Variables Generated by AI or Machine Learning
  90. State Space Models for Event Cameras
  91. Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving
  92. CI w/o TN: Context Injection without Task Name for Procedure Planning
  93. Self-Supervised Pre-Training for Table Structure Recognition Transformer
  94. Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles
  95. Social Convos: Capturing Agendas and Emotions on Social Media
  96. Toward Fully Self-Supervised Multi-Pitch Estimation
  97. Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings
  98. Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency
  99. Deep Networks Always Grok and Here is Why
  100. Morphological Symmetries in Robotics
All 256
  1. HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding
  2. Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case
  3. Speech Corpus for Korean Children with Autism Spectrum Disorder: Towards Automatic Assessment Systems
  4. Evaluating the Performance of ChatGPT for Spam Email Detection
  5. Seamless Human Motion Composition with Blended Positional Encodings
  6. Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage
  7. A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
  8. RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation
  9. Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency
  10. Foveated Retinotopy Improves Classification and Localization in Convolutional Neural Networks
  11. Transformers are Expressive, But Are They Expressive Enough for Regression?
  12. Debiasing Machine Learning Models by Using Weakly Supervised Learning
  13. FAIR: Filtering of Automatically Induced Rules
  14. Benchmarking the Robustness of Panoptic Segmentation for Automated Driving
  15. CLIPPER+: A Fast Maximal Clique Algorithm for Robust Global Registration
  16. Repetition Improves Language Model Embeddings
  17. Computer Vision for Multimedia Geolocation in Human Trafficking Investigation: A Systematic Literature Review
  18. Can we forget how we learned? Doxastic redundancy in iterated belief revision
  19. GROS: A General Robust Aggregation Strategy
  20. Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models
  21. Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales
  22. Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration
  23. A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models
  24. Reputational Algorithm Aversion
  25. Understanding Catastrophic Forgetting In LoRA via Mean-Field Attention Dynamics
  26. Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?
  27. G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups
  28. Optimistic Information Directed Sampling
  29. Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps
  30. Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks
  31. United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once
  32. Grasp, See, and Place: Efficient Unknown Object Rearrangement with Policy Structure Prior
  33. Faithful Temporal Question Answering over Heterogeneous Sources
  34. TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction
  35. NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks
  36. Explorations of Self-Repair in Language Models
  37. Closed-loop Multi-step Planning
  38. Outlier detection by ensembling uncertainty with negative objectness
  39. Dual Encoder: Exploiting the Potential of Syntactic and Semantic for Aspect Sentiment Triplet Extraction
  40. Probabilistically Correct Language-based Multi-Robot Planning using Conformal Prediction
  41. Efficient semi-supervised inference for logistic regression under case-control studies
  42. All Thresholds Barred: Direct Estimation of Call Density in Bioacoustic Data
  43. Streaming Gaussian Dirichlet Random Fields for Spatial Predictions of High Dimensional Categorical Observations
  44. Rapid Bayesian identification of sparse nonlinear dynamics from scarce and noisy data
  45. On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey
  46. AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks
  47. Farsight: Fostering Responsible AI Awareness During AI Application Prototyping
  48. Information-Theoretic Safe Bayesian Optimization
  49. Fourier Basis Density Model
  50. Iteration and Stochastic First-order Oracle Complexities of Stochastic Gradient Descent using Constant and Decaying Learning Rates
  51. NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data
  52. Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies
  53. Low-Rank Representations Meets Deep Unfolding: A Generalized and Interpretable Network for Hyperspectral Anomaly Detection
  54. A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity
  55. Position: Categorical Deep Learning is an Algebraic Theory of All Architectures
  56. Towards Principled Task Grouping for Multi-Task Learning
  57. Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
  58. Shapley Value Based Multi-Agent Reinforcement Learning: Theory, Method and Its Application to Energy Network
  59. Optimal Transport on the Lie Group of Roto-translations
  60. OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding
  61. GPTVQ: The Blessing of Dimensionality for LLM Quantization
  62. On Minimal Depth in Neural Networks
  63. ArabianGPT: Native Arabic GPT-based Large Language Model
  64. Counterfactual Generation with Identifiability Guarantees
  65. Semi-supervised Counting via Pixel-by-pixel Density Distribution Modelling
  66. A Survey of Music Generation in the Context of Interaction
  67. Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications
  68. Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations
  69. Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Data
  70. Neural Implicit Swept Volume Models for Fast Collision Detection
  71. CFIR: Fast and Effective Long-Text To Image Retrieval for Large Corpora
  72. Classification Under Strategic Self-Selection
  73. Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones
  74. EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
  75. Smoothed Graph Contrastive Learning via Seamless Proximity Integration
  76. MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models
  77. A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing
  78. Calibration of Deep Learning Classification Models in fNIRS
  79. CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models
  80. DEEM: Dynamic Experienced Expert Modeling for Stance Detection
  81. Dynamic Memory Based Adaptive Optimization
  82. Open Ad Hoc Teamwork with Cooperative Game Theory
  83. High Resolution Guitar Transcription via Domain Adaptation
  84. Optimal Transport for Structure Learning Under Missing Data
  85. Chitchat as Interference: Adding User Backstories to Task-Oriented Dialogues
  86. A Bargaining-based Approach for Feature Trading in Vertical Federated Learning
  87. Artificial Bee Colony optimization of Deep Convolutional Neural Networks in the context of Biomedical Imaging
  88. GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation
  89. GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection?
  90. Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning
  91. Font Impression Estimation in the Wild
  92. Classification of compact radio sources in the Galactic plane with supervised machine learning
  93. Which Model to Transfer? A Survey on Transferability Estimation
  94. Fixed Random Classifier Rearrangement for Continual Learning
  95. BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators
  96. Statistical Agnostic Regression: a machine learning method to validate regression models
  97. Source-Guided Similarity Preservation for Online Person Re-Identification
  98. Enhancing ICU Patient Recovery: Using LLMs to Assist Nurses in Diary Writing
  99. Fine-Grained Detoxification via Instance-Level Prefixes for Large Language Models
  100. DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators
  101. Bidirectional Uncertainty-Based Active Learning for Open Set Annotation
  102. The AffectToolbox: Affect Analysis for Everyone
  103. Biomedical Entity Linking as Multiple Choice Question Answering
  104. Parameter-Free Algorithms for Performative Regret Minimization under Decision-Dependent Distributions
  105. GraphEdit: Large Language Models for Graph Structure Learning
  106. Advancing Parameter Efficiency in Fine-tuning via Representation Editing
  107. Unified View of Grokking, Double Descent and Emergent Abilities: A Perspective from Circuits Competition
  108. Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer
  109. Attention-Guided Masked Autoencoders For Learning Image Representations
  110. Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits
  111. Convergence Analysis of Split Federated Learning on Heterogeneous Data
  112. Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint
  113. Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models
  114. Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings
  115. On the Duality Between Sharpness-Aware Minimization and Adversarial Training
  116. Where Visual Speech Meets Language: VSP-LLM Framework for Efficient and Context-Aware Visual Speech Processing
  117. TREC: APT Tactic / Technique Recognition via Few-Shot Provenance Subgraph Learning
  118. Convergence Analysis of Blurring Mean Shift
  119. The Cost of Parallelizing Boosting
  120. PUAD: Frustratingly Simple Method for Robust Anomaly Detection
  121. A note on the adjoint method for neural ordinary differential equation network
  122. A Relation-Interactive Approach for Message Passing in Hyper-relational Knowledge Graphs
  123. Benchmarking Observational Studies with Experimental Data under Right-Censoring
  124. Modified CycleGAN for the synthesization of samples for wheat head segmentation
  125. Deep Coupling Network For Multivariate Time Series Forecasting
  126. Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples
  127. Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models
  128. Asymptotically and Minimax Optimal Regret Bounds for Multi-Armed Bandits with Abstention
  129. Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding
  130. Fine-tuning CLIP Text Encoders with Two-step Paraphrasing
  131. Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification
  132. MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
  133. Chu-ko-nu: A Reliable, Efficient, and Anonymously Authentication-Enabled Realization for Multi-Round Secure Aggregation in Federated Learning
  134. Sampling-based Distributed Training with Message Passing Neural Network
  135. A First Look at GPT Apps: Landscape and Vulnerability
  136. Studying LLM Performance on Closed- and Open-source Data
  137. Learning solution operators of PDEs defined on varying domains via MIONet
  138. Multimodal Transformer With a Low-Computational-Cost Guarantee
  139. The Umeyama algorithm for matching correlated Gaussian geometric models in the low-dimensional regime
  140. AttributionBench: How Hard is Automatic Attribution Evaluation?
  141. Hands-Free VR
  142. Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition
  143. Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models
  144. Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation
  145. Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
  146. Fine-tuning Large Language Models for Domain-specific Machine Translation
  147. ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval
  148. Mixup Barcodes: Quantifying Geometric-Topological Interactions between Point Clouds
  149. Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions
  150. Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities
  151. ToMBench: Benchmarking Theory of Mind in Large Language Models
  152. Unlocking the Power of Large Language Models for Entity Alignment
  153. CARBD-Ko: A Contextually Annotated Review Benchmark Dataset for Aspect-Level Sentiment Classification in Korean
  154. Fiducial Focus Augmentation for Facial Landmark Detection
  155. KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models
  156. Descripci'on autom'atica de secciones delgadas de rocas: una aplicaci'on Web