mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 6 Jun 2023

284 papers

  1. Certified Deductive Reasoning with Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  2. Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random WalksLLM reasoning → Knowledge- and tool-augmented reasoning
  3. Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
  4. Turning large language models into cognitive modelsLLM reasoning → Reasoning benchmarks and evaluation
  5. Towards Label-free Scene Understanding by Vision Foundation ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  6. Emergent Correspondence from Image DiffusionDiffusion models → Image generation, text-to-image and editing
  7. Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationDiffusion models → Medical imaging and segmentation
  8. Deductive Verification of Chain-of-Thought ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  9. Prompt Space Optimizing Few-shot Reasoning Success with Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  10. Soft Merging of Experts with Adaptive RoutingMixture-of-experts → Expert routing strategies
  11. Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillationKnowledge distillation → Distillation for medical imaging
  12. Towards Visual Foundational Models of Physical ScenesDiffusion models → 3D, point cloud and scene generation
  13. Mildly Constrained Evaluation Policy for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  14. PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic ManipulationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  15. Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning ApproachLLM agents and tool use → Reinforcement learning for LLM agents
  16. Avoid Adversarial Adaption in Federated Learning by Multi-Metric InvestigationsLLM safety and security → Federated unlearning and poisoning
  17. Machine Unlearning: A SurveyLLM safety and security → Machine unlearning
  18. An Approach to Solving the Abstraction and Reasoning Corpus (ARC) ChallengeLLM reasoning → Multimodal reasoning
  19. Intellectual Property Protection of Diffusion Models via the Watermark Diffusion ProcessDiffusion models → Robustness, privacy and adversarial aspects +1
  20. GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPMDiffusion models → Inverse problems and image restoration
  21. DreamSparse: Escaping from Plato's Cave with 2D Frozen Diffusion Model Given Sparse ViewsDiffusion models → 3D, point cloud and scene generation
  22. Boosting Offline Reinforcement Learning with Action Preference QueryOffline RL and imitation learning from data → Offline RL algorithms
  23. Model-Based Reinforcement Learning with Multi-Task Offline PretrainingWorld models → Latent dynamics models and model-based RL
  24. MolFM: A Multimodal Molecular Foundation Model
  25. Pseudo Session-Based Recommendation with Hierarchical Embedding and Session Attributes
  26. Optimal Inference in Contextual Stochastic Block Models
  27. ATT3D: Amortized Text-to-3D Object Synthesis
  28. Adversarial attacks and defenses in explainable artificial intelligence: A survey
  29. Improving Fairness and Robustness in End-to-End Speech Recognition through unsupervised clustering
  30. Deep Learning for Day Forecasts from Sparse Observations
  31. How Good is the Model in Model-in-the-loop Event Coreference Resolution Annotation?
  32. Towards End-to-end Speech-to-text Summarization
  33. Detecting Human Rights Violations on Social Media during Russia-Ukraine War
  34. Mathematics-assisted directed evolution and protein engineering
  35. Modulation Classification Through Deep Learning Using Resolution Transformed Spectrograms
  36. DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency
  37. From Data to Action: Exploring AI and IoT-driven Solutions for Smarter Cities
  38. Language Adaptive Weight Generation for Multi-task Visual Grounding
  39. GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning
  40. Referring Expression Comprehension Using Language Adaptive Inference
  41. An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models
  42. Intelligent sampling for surrogate modeling, hyperparameter optimization, and data analysis
  43. Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings
  44. Deploying a Robust Active Preference Elicitation Algorithm on MTurk: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization
  45. Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health
  46. RescueSpeech: A German Corpus for Speech Recognition in Search and Rescue Domain
  47. LLMZip: Lossless Text Compression using Large Language Models
  48. One-sided Matrix Completion from Two Observations Per Row
  49. CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments
  50. An Analysis of Reader Engagement in Literary Fiction through Eye Tracking and Linguistic Features
  51. FedVal: Different good or different bad in federated learning
  52. Revisiting Neural Retrieval on Accelerators
  53. Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification
  54. BokehOrNot: Transforming Bokeh Effect with Image Transformer and Lens Metadata Embedding
  55. Intervention Generalization: A View from Factor Graph Models
  56. Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory
  57. Designing explainable artificial intelligence with active inference: A framework for transparent introspection and decision-making
  58. Energy-Based Models for Cross-Modal Localization using Convolutional Transformers
  59. Learning Search-Space Specific Heuristics Using Neural Networks
  60. PyTrial: Machine Learning Software and Benchmark for Clinical Trial Applications
  61. Green Steganalyzer: A Green Learning Approach to Image Steganalysis
  62. Randomized Schur Complement Views for Graph Contrastive Learning
  63. One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers
  64. A Quality Aware Sample-to-Sample Comparison for Face Recognition
  65. Sentiment Analysis in Finance: From Transformers Back to eXplainable Lexicons (XLex)
  66. Real-Time Online Unsupervised Domain Adaptation for Real-World Person Re-identification
  67. Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation
  68. Agent Performing Autonomous Stock Trading under Good and Bad Situations
  69. Toward More Accurate and Generalizable Evaluation Metrics for Task-Oriented Dialogs
  70. XVertNet: Unsupervised Contrast Enhancement of Vertebral Structures with Dynamic Self-Tuning Guidance and Multi-Stage Analysis
  71. Globally injective and bijective neural operators
  72. Counterfactual Explanations and Predictive Models to Enhance Clinical Decision-Making in Schizophrenia using Digital Phenotyping
  73. B"uy"uk dil modellerinin T"urkcce verisetleri ile eugitilmesi ve ince ayarlanmasi
  74. Explainable AI using expressive Boolean formulas
  75. Revisiting Conversation Discourse for Dialogue Disentanglement
  76. TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognition
  77. ECQED: Emotion-Cause Quadruple Extraction in Dialogs
  78. Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
  79. PILLAR: How to make semi-private learning more effective
  80. Leveraging Explicit Procedural Instructions for Data-Efficient Action Prediction
  81. Kernel quadrature with randomly pivoted Cholesky
  82. Recognition of Handwritten Japanese Characters Using Ensemble of Convolutional Neural Networks
  83. Reinforcement Learning-Based Control of CrazyFlie 2.X Quadrotor
  84. MISGENDERED: Limits of Large Language Models in Understanding Pronouns
  85. Partial Inference in Structured Prediction
  86. Guiding The Last Layer in Federated Learning with Pre-Trained Models
  87. Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling
  88. High-dimensional and Permutation Invariant Anomaly Detection
  89. Finding Counterfactually Optimal Action Sequences in Continuous State Spaces
  90. Designing Decision Support Systems Using Counterfactual Prediction Sets
  91. Multi-constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Large-scale Undirected Weighted Networks
  92. SAM3D: Segment Anything in 3D Scenes
  93. CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions
  94. Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis
  95. ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory
  96. Model Spider: Learning to Rank Pre-Trained Models Efficiently
  97. Fast Context Adaptation in Cost-Aware Continual Learning
  98. Causal interventions expose implicit situation models for commonsense language understanding
  99. Embracing Background Knowledge in the Analysis of Actual Causality: An Answer Set Programming Approach
  100. Correction of Errors in Preference Ratings from Automated Metrics for Text Generation
All 284
  1. Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction
  2. Iterative Translation Refinement with Large Language Models
  3. From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarization
  4. Considering Human Factors in Risk Maps for Robust and Foresighted Driver Warning
  5. Learning Human Mesh Recovery in 3D Scenes
  6. Remarks on Utility in Repeated Bets
  7. Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
  8. Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning
  9. MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphs
  10. Decoding Virtual Healthcare Success through Knowledge-Aware and Multimodal Predictive Modeling
  11. Stochastic Principal-Agent Problems: Efficient Computation and Learning
  12. GEO-Bench: Toward Foundation Models for Earth Monitoring
  13. Inductive Bias for Emergent Communication in a Continuous Setting
  14. Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
  15. Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters
  16. LEACE: Perfect linear concept erasure in closed form
  17. Computation with Sequences in a Model of the Brain
  18. X-Align++: cross-modal cross-view alignment for Bird's-eye-view segmentation
  19. Can large language models democratize access to dual-use biotechnology?
  20. The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
  21. Learning to Ground Instructional Articles in Videos through Narrations
  22. Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
  23. AI-Supported Assessment of Load Safety
  24. FAMO: Fast Adaptive Multitask Optimization
  25. Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression
  26. Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex
  27. Matched Pair Calibration for Ranking Fairness
  28. Exploring Linguistic Features for Turkish Text Readability
  29. Graph Classification Gaussian Processes via Spectral Features
  30. Exploring the effects of robotic design on learning and neural control
  31. AI Art Curation: Re-imagining the city of Helsinki in occasion of its Biennial
  32. Towards Scalable Multi-View Reconstruction of Geometry and Materials
  33. Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning
  34. FinRED: A Dataset for Relation Extraction in Financial Domain
  35. A Cross-Linguistic Pressure for Uniform Information Density in Word Order
  36. A Novel Approach To User Agent String Parsing For Vulnerability Analysis Using Mutli-Headed Attention
  37. Exploring Model Dynamics for Accumulative Poisoning Discovery
  38. Towards Memory-Efficient Training for Extremely Large Output Spaces -- Learning with 500k Labels on a Single Commodity GPU
  39. Financial Numeric Extreme Labelling: A Dataset and Benchmarking for XBRL Tagging
  40. Evaluating the Effectiveness of Natural Language Inference for Hate Speech Detection in Languages with Limited Labeled Data
  41. Emotion-Conditioned Melody Harmonization with Hierarchical Variational Autoencoder
  42. Description Logics with Abstraction and Refinement
  43. Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
  44. Deep Learning-Enabled Sleep Staging From Vital Signs and Activity Measured Using a Near-Infrared Video Camera
  45. Effective Intrusion Detection in Highly Imbalanced IoT Networks with Lightweight S2CGAN-IDS
  46. Bayesian post-hoc regularization of random forests
  47. Fine-grained Expressivity of Graph Neural Networks
  48. ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
  49. YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection
  50. Human-imperceptible, Machine-recognizable Images
  51. On the Difference of BERT-style and CLIP-style Text Encoders
  52. Experimenting with Additive Margins for Contrastive Self-Supervised Speaker Verification
  53. Empir3D : A Framework for Multi-Dimensional Point Cloud Assessment
  54. Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE
  55. Online Learning under Adversarial Nonlinear Constraints
  56. Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue
  57. A Quantum Probability Driven Framework for Joint Multi-Modal Sarcasm, Sentiment and Emotion Analysis
  58. Supervised Knowledge May Hurt Novel Class Discovery Performance
  59. Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks
  60. Dance Generation by Sound Symbolic Words
  61. Single-Shot Global Localization via Graph-Theoretic Correspondence Matching
  62. Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection
  63. Convergence and Diversity in the Control Hierarchy
  64. Understanding Progressive Training Through the Framework of Randomized Coordinate Descent
  65. Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
  66. On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering
  67. Spike-based computation using classical recurrent neural networks
  68. Digitization of Pathology Labs: A Review of Lessons Learned
  69. A Survey of Quantum-Cognitively Inspired Sentiment Analysis Models
  70. Buying Information for Stochastic Optimization
  71. BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs
  72. TestLab: An Intelligent Automated Software Testing Framework
  73. The Creative Frontier of Generative AI: Managing the Novelty-Usefulness Tradeoff
  74. CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models
  75. Human-Object Interaction Prediction in Videos through Gaze Following
  76. Emotional Talking Head Generation based on Memory-Sharing and Attention-Augmented Networks
  77. Entropic covariance models
  78. How does over-squashing affect the power of GNNs?
  79. Language acquisition: do children and language models follow similar learning stages?
  80. RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion
  81. L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference
  82. An Open Patch Generator based Fingerprint Presentation Attack Detection using Generative Adversarial Network
  83. Human 3D Avatar Modeling with Implicit Neural Representation: A Brief Survey
  84. Range-Restricted Interpolation through Clausal Tableaux
  85. Personalization Disentanglement for Federated Learning: An explainable perspective
  86. Memory-Based Dual Gaussian Processes for Sequential Learning
  87. CIN++: Enhancing Topological Message Passing
  88. Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text
  89. State Regularized Policy Optimization on Data with Dynamics Shift
  90. Scalable Concept Extraction in Industry 4.0
  91. Learning Dynamical Systems from Noisy Data with Inverse-Explicit Integrators
  92. How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget
  93. Masked Autoencoders are Efficient Continual Federated Learners
  94. SDR-GAIN: A High Real-Time Occluded Pedestrian Pose Completion Method for Autonomous Driving
  95. Real-Time Onboard Object Detection for Augmented Reality: Enhancing Head-Mounted Display with YOLOv8
  96. On Pitfalls of Test-Time Adaptation
  97. SciLit: A Platform for Joint Scientific Literature Discovery, Summarization and Citation Generation
  98. Continual Learning in Linear Classification on Separable Data
  99. A Belief Model for Conflicting and Uncertain Evidence -- Connecting Dempster-Shafer Theory and the Topology of Evidence
  100. A Unified Concept-Based System for Local, Global, and Misclassification Explanations
  101. RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
  102. Adversarial Attacks and Defenses for Semantic Communication in Vehicular Metaverses
  103. Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao
  104. Inconsistency Handling in Prioritized Databases with Universal Constraints: Complexity Analysis and Links with Active Integrity Constraints
  105. A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection
  106. Machine learning in and out of equilibrium
  107. COPR: Consistency-Oriented Pre-Ranking for Online Advertising
  108. Logic Diffusion for Knowledge Graph Reasoning
  109. Recognize Anything: A Strong Image Tagging Model
  110. Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation
  111. Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias
  112. Semantic Segmentation on VSPW Dataset through Contrastive Loss and Multi-dataset Training Approach
  113. "A Little is Enough": Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation
  114. Subgraph Networks Based Contrastive Learning
  115. Ada-TTA: Towards Adaptive High-Quality Text-to-Talking Avatar Synthesis
  116. Applying Standards to Advance Upstream & Downstream Ethics in Large Language Models
  117. Russo-Ukrainian War: Prediction and explanation of Twitter suspension
  118. Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory
  119. Instructive Feature Enhancement for Dichotomous Medical Image Segmentation
  120. Structurally Different Neural Network Blocks for the Segmentation of Atrial and Aortic Perivascular Adipose Tissue in Multi-centre CT Angiography Scans
  121. Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers
  122. SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning
  123. Looking and Listening: Audio Guided Text Recognition
  124. Transition Role of Entangled Data in Quantum Machine Learning
  125. GSHOT: Few-shot Generative Modeling of Labeled Graphs
  126. Putting Humans in the Image Captioning Loop
  127. Joint Event Extraction via Structural Semantic Matching
  128. Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
  129. Natural Language Commanding via Program Synthesis
  130. TwistList: Resources and Baselines for Tongue Twister Generation
  131. Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities
  132. GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
  133. MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition
  134. Automatic Assessment of Oral Reading Accuracy for Reading Diagnostics
  135. Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses
  136. Quantifying the Variability Collapse of Neural Networks
  137. Large Language Models of Code Fail at Completing Code with Potential Bugs
  138. DFormer: Diffusion-guided Transformer for Universal Image Segmentation
  139. On the Role of Attention in Prompt-tuning
  140. Learning-Based Heuristic for Combinatorial Optimization of the Minimum Dominating Set Problem using Graph Convolutional Networks
  141. Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters
  142. GaitGCI: Generative Counterfactual Intervention for Gait Recognition
  143. I'm Afraid I Can't Do That: Predicting Prompt Refusal in Black-Box Generative Language Models
  144. Prompting Large Language Models to Reformulate Queries for Moment Localization
  145. Diversifying Joint Vision-Language Tokenization Learning
  146. Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning
  147. DVIS: Decoupled Video Instance Segmentation Framework
  148. DEK-Forecaster: A Novel Deep Learning Model Integrated with EMD-KNN for Traffic Prediction
  149. Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search
  150. Learning to Simulate Tree-Branch Dynamics for Manipulation
  151. Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems
  152. Agents Explore the Environment Beyond Good Actions to Improve Their Model for Better Decisions
  153. LESS: Label-efficient Multi-scale Learning for Cytological Whole Slide Image Screening
  154. Deep neural networks architectures from the perspective of manifold learning
  155. Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes
  156. SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation
  157. Binary Classification with Instance and Label Dependent Label Noise
  158. A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
  159. G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors
  160. Minimum intrinsic dimension scaling for entropic optimal transport
  161. Origin-Destination Network Generation via Gravity-Guided GAN
  162. ColdNAS: Search to Modulate for User Cold-Start Recommendation
  163. VR.net: A Real-world Dataset for Virtual Reality Motion Sickness Research
  164. A Unified Framework to Super-Resolve Face Images of Varied Low Resolutions
  165. TextFormer: A Query-based End-to-End Text Spotter with Mixed Supervision
  166. Identifying Shared Decodable Concepts in the Human Brain Using Image-Language Foundation Models
  167. PGformer: Proxy-Bridged Game Transformer for Multi-Person Highly Interactive Extreme Motion Prediction
  168. CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation
  169. Online Tensor Learning: Computational and Statistical Trade-offs, Adaptivity and Optimal Regret
  170. Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision
  171. Learning Representations on the Unit Sphere: Investigating Angular Gaussian and von Mises-Fisher Distributions for Online Continual Learning
  172. WHAT, WHEN, and HOW to Ground: Designing User Persona-Aware Conversational Agents for Engaging Dialogue
  173. Is AI Changing the Rules of Academic Misconduct? An In-depth Look at Students' Perceptions of 'AI-giarism'
  174. Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis
  175. BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs
  176. Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour
  177. Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning
  178. Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
  179. Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
  180. Unraveling Projection Heads in Contrastive Learning: Insights from Expansion and Shrinkage
  181. A Robust Likelihood Model for Novelty Detection
  182. AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions
  183. Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate
  184. Student Classroom Behavior Detection based on Improved YOLOv7