mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 23 Oct 2023

363 papers

  1. Safe Navigation: Training Autonomous Vehicles using Deep Reinforcement Learning in CARLAEnd-to-end autonomous driving → Reinforcement learning for driving
  2. PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual AdapterRetrieval-augmented generation → RAG robustness and adaptive retrieval
  3. Videoprompter: an ensemble of foundational models for zero-shot video understandingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  4. DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLMDiffusion models → Discrete and text diffusion
  5. Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-AttentionLLM reasoning → Reasoning benchmarks and evaluation
  6. CRoW: Benchmarking Commonsense Reasoning in Real-World TasksLLM reasoning → Reasoning benchmarks and evaluation
  7. DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuningRetrieval-augmented generation → Legal and financial RAG
  8. FreeNoise: Tuning-Free Longer Video Diffusion via Noise ReschedulingDiffusion models → Video generation
  9. Large Language Models are Visual Reasoning CoordinatorsLLM reasoning → Multimodal reasoning
  10. LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic ProversLLM reasoning → Reasoning benchmarks and evaluation
  11. SpecTr: Fast Speculative Decoding via Optimal TransportEfficient LLM inference and serving → Speculative decoding
  12. AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  13. Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language ModelsLLM agents and tool use → Multimodal and embodied agents
  14. Matryoshka Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  15. Zero123++: a Single Image to Consistent Multi-view Diffusion Base ModelDiffusion models → 3D, point cloud and scene generation
  16. Synergizing Human-AI Agency: A Guide of 23 Heuristics for Service Co-Creation with LLM-Based AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  17. Mind the Model, Not the Agent: The Primacy Bias in Model-based RLWorld models → Latent dynamics models and model-based RL
  18. Wonder3D: Single Image to 3D using Cross-Domain DiffusionDiffusion models → 3D, point cloud and scene generation
  19. Did the Neurons Read your Book? Document-level Membership Inference for Large Language ModelsLLM safety and security → Membership inference attacks
  20. LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon GameplayLLM agents and tool use → Social simulation and multi-agent debate
  21. Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer?LLM reasoning → Reasoning for agents, planning and code
  22. Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on SyllogismLLM reasoning → Reasoning benchmarks and evaluation
  23. Joint Non-Linear MRI Inversion with Diffusion PriorsDiffusion models → Medical imaging and segmentation
  24. Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across LanguagesLLM reasoning → Prompting and chain-of-thought reasoning
  25. End-to-End Learning of Behavioural Inputs for Autonomous Driving in Dense TrafficEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  26. MCC-KD: Multi-CoT Consistent Knowledge DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
  27. MAS: Multi-view Ancestral Sampling for 3D motion generation using 2D diffusionDiffusion models → 3D, point cloud and scene generation
  28. Once Upon a textitTime in textitGraph: Relative-Time Pretraining for Complex Temporal ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  29. Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  30. Reasoning about Ambiguous Definite DescriptionsLLM reasoning → Reasoning benchmarks and evaluation
  31. Lambda-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AIDiffusion models → Robustness, privacy and adversarial aspects
  32. Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-ThoughtsLLM reasoning → Mathematical reasoning
  33. CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU TasksLLM reasoning → Prompting and chain-of-thought reasoning
  34. Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular ClassificationsLLM reasoning → Reasoning benchmarks and evaluation
  35. DICE: Diverse Diffusion Model with Scoring for Trajectory PredictionDiffusion models → Diffusion and flow policies for robotics
  36. HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  37. AlpaCare:Instruction-tuned Large Language Models for Medical ApplicationLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  38. Making RL with Preference-based Feedback Efficient via RandomizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  39. Corruption-Robust Offline Reinforcement Learning with General Function ApproximationOffline RL and imitation learning from data → Offline RL algorithms
  40. Diversify Question Generation with Retrieval-Augmented Style TransferRetrieval-augmented generation → RAG robustness and adaptive retrieval
  41. Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  42. Attention-Enhancing Backdoor Attacks Against BERT-based ModelsLLM safety and security → Backdoor and data poisoning attacks
  43. DetectGPT-SC: Improving Detection of Text Generated by Large Language Models through Self-Consistency with Masked PredictionsLLM reasoning → Reasoning benchmarks and evaluation
  44. GeoLM: Empowering Language Models for Geospatially Grounded Language UnderstandingLLM reasoning → Spatial and embodied reasoning
  45. Enhancing Robotic Manipulation: Harnessing the Power of Multi-Task Reinforcement Learning and Single Life Reinforcement Learning in Meta-World
  46. Interactive AI Alignment: Specification, Process, and Evaluation Alignment
  47. Machine Learning and Knowledge: Why Robustness Matters
  48. Health Disparities through Generative AI Models: A Comparison Study Using A Domain Specific large language model
  49. A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare
  50. BioImage.IO Chatbot: A Community-Driven AI Assistant for Integrative Computational Bioimaging
  51. A Boundary Offset Prediction Network for Named Entity Recognition
  52. Meaning Representations from Trajectories in Autoregressive Models
  53. Cascaded Multi-task Adaptive Learning Based on Neural Architecture Search
  54. Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach
  55. GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions
  56. Towards contrast-agnostic soft segmentation of the spinal cord
  57. "One-Size-Fits-All"? Examining Expectations around What Constitute "Fair" or "Good" NLG System Behaviors
  58. DoGE: Domain Reweighting with Generalization Estimation
  59. MEMPSEP III. A machine learning-oriented multivariate data set for forecasting the Occurrence and Properties of Solar Energetic Particle Events using a Multivariate Ensemble Approach
  60. Irreducible Curriculum for Language Model Pretraining
  61. Remote Heart Rate Monitoring in Smart Environments from Videos with Self-supervised Pre-training
  62. Error analysis of generative adversarial network
  63. Course Correcting Koopman Representations
  64. GD-COMET: A Geo-Diverse Commonsense Inference Model
  65. Semantic Data Management in Data Lakes
  66. EpiK-Eval: Evaluation for Language Models as Epistemic Models
  67. Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation
  68. Deep Integrated Explanations
  69. Learning Fair Representations with High-Confidence Guarantees
  70. Why LLMs Hallucinate, and How to Get (Evidential) Closure: Perceptual, Intensional, and Extensional Learning for Faithful Natural Language Generation
  71. Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency
  72. Burgers' pinns with implicit euler transfer learning
  73. Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network
  74. Moral Foundations of Large Language Models
  75. ADMM Algorithms for Residual Network Training: Convergence Analysis and Parallel Implementation
  76. Safe and Interpretable Estimation of Optimal Treatment Regimes
  77. Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
  78. Serverless Federated Learning with flwr-serverless
  79. DeepVox and SAVE-CT: a contrast- and dose-independent 3D deep learning approach for thoracic aorta segmentation and aneurysm prediction using computed tomography scans
  80. Specialist or Generalist? Instruction Tuning for Specific NLP Tasks
  81. LXMERT Model Compression for Visual Question Answering
  82. Hallucination Detection for Grounded Instruction Generation
  83. HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
  84. Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses
  85. Probing Representations for Document-level Event Extraction
  86. SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
  87. Toward a Critical Toponymy Framework for Named Entity Recognition: A Case Study of Airbnb in New York City
  88. ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease
  89. Neural Network with Local Converging Input (NNLCI) for Supersonic Flow Problems with Unstructured Grids
  90. TaskDiff: A Similarity Metric for Task-Oriented Conversations
  91. Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling
  92. Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models
  93. Active teacher selection for reward learning
  94. A Doubly Robust Approach to Sparse Reinforcement Learning
  95. On the Dimensionality of Sentence Embeddings
  96. UncertaintyPlayground: A Fast and Simplified Python Library for Uncertainty Estimation
  97. Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages
  98. Triple Simplex Matrix Completion for Expense Forecasting
  99. From the Pursuit of Universal AGI Architecture to Systematic Approach to Heterogenous AGI: Addressing Alignment, Energy, & AGI Grand Challenges
  100. GradSim: Gradient-Based Language Grouping for Effective Multilingual Training
All 363
  1. Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey
  2. One-hot Generalized Linear Model for Switching Brain State Discovery
  3. Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study
  4. Modality Dropout for Multimodal Device Directed Speech Detection using Verbal and Non-Verbal Features
  5. Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards
  6. SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering
  7. SyncFusion: Multimodal Onset-synchronized Video-to-Audio Foley Synthesis
  8. Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects
  9. New approach to template banks of gravitational waves with higher harmonics: Reducing matched-filtering cost by over an order of magnitude
  10. Function Vectors in Large Language Models
  11. Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing
  12. Mid-Long Term Daily Electricity Consumption Forecasting Based on Piecewise Linear Regression and Dilated Causal CNN
  13. Predicting Transcription Factor Binding Sites using Transformer based Capsule Network
  14. A Skin Microbiome Model with AMP interactions and Analysis of Quasi-Stability vs Stability in Population Dynamics
  15. Open-Set Image Tagging with Multi-Grained Text Supervision
  16. RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
  17. Ghost on the Shell: An Expressive Representation of General 3D Shapes
  18. Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition
  19. SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images
  20. FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
  21. Linear Representations of Sentiment in Large Language Models
  22. Verb Conjugation in Transformers Is Determined by Linear Encodings of Subject Number
  23. Online Detection of AI-Generated Images
  24. Unlocking the Transferability of Tokens in Deep Models for Tabular Data
  25. S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models
  26. Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning
  27. DEsignBench: Exploring and Benchmarking DALL-E 3 for Imagining Visual Design
  28. Hyperparameter optimization of hp-greedy reduced basis for gravitational wave surrogates
  29. Fusion-Driven Tree Reconstruction and Fruit Localization: Advancing Precision in Agriculture
  30. Quantifying the Dialect Gap and its Correlates Across Languages
  31. Novel-View Acoustic Synthesis from 3D Reconstructed Rooms
  32. Location-Aware Visual Question Generation with Lightweight Models
  33. Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients
  34. Mixed-Variable Global Sensitivity Analysis For Knowledge Discovery And Efficient Combinatorial Materials Design
  35. Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
  36. Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
  37. SpVOS: Efficient Video Object Segmentation with Triple Sparse Convolution
  38. How To Build Competitive Multi-gender Speech Translation Models For Controlling Speaker Gender Translation
  39. Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model
  40. Learning Through AI-Clones: Enhancing Self-Perception and Presentation Performance
  41. GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs
  42. Evaluating machine learning models in non-standard settings: An overview and new findings
  43. FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning
  44. LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis
  45. Dual-path convolutional neural network using micro-FTIR imaging to predict breast cancer subtypes and biomarkers levels: estrogen receptor, progesterone receptor, HER2 and Ki67
  46. Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data
  47. A Canonical Data Transformation for Achieving Inter- and Within-group Fairness
  48. One-dimensional convolutional neural network model for breast cancer subtypes classification and biochemical content evaluation using micro-FTIR hyperspectral images
  49. On the Detection of Image-Scaling Attacks in Machine Learning
  50. Quantum Federated Learning With Quantum Networks
  51. E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion
  52. Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
  53. Affective and Dynamic Beam Search for Story Generation
  54. 'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Science Journalism
  55. TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering
  56. MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model Effectiveness and Efficiency
  57. RD-VIO: Robust Visual-Inertial Odometry for Mobile Augmented Reality in Dynamic Environments
  58. Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge
  59. The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models
  60. Robot Skill Generalization via Keypoint Integrated Soft Actor-Critic Gaussian Mixture Models
  61. Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators
  62. Coordinated Replay Sample Selection for Continual Federated Learning
  63. DREAM+: Efficient Dataset Distillation by Bidirectional Representative Matching
  64. TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge
  65. Implicit meta-learning may lead language models to trust more reliable sources
  66. A Universal Anti-Spoofing Approach for Contactless Fingerprint Biometric Systems
  67. CalibrationPhys: Self-supervised Video-based Heart and Respiratory Rate Measurements by Calibrating Between Multiple Cameras
  68. Manipulation Mask Generator: High-Quality Image Manipulation Mask Generation Method Based on Modified Total Variation Noise Reduction
  69. SLOG: A Structural Generalization Benchmark for Semantic Parsing
  70. A Technique for Classifying Static Gestures Using UWB Radar
  71. Deep Autoencoder-based Z-Interference Channels with Perfect and Imperfect CSI
  72. Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data
  73. P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic Segmentation
  74. SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars
  75. Efficient Data Learning for Open Information Extraction with Pre-trained Language Models
  76. Invariance is Key to Generalization: Examining the Role of Representation in Sim-to-Real Transfer for Visual Navigation
  77. Meta learning with language models: Challenges and opportunities in the classification of imbalanced text
  78. Leveraging Deep Learning for Abstractive Code Summarization of Unofficial Documentation
  79. Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings
  80. When Language Models Fall in Love: Animacy Processing in Transformer Language Models
  81. Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
  82. Simple Hardware-Efficient PCFGs with Independent Left and Right Productions
  83. Understanding the Inner Workings of Language Models Through Representation Dissimilarity
  84. Bayesian Regression Markets
  85. Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate
  86. Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation
  87. ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation
  88. Reinforcement learning in large, structured action spaces: A simulation study of decision support for spinal cord injury rehabilitation
  89. The WHY in Business Processes: Discovery of Causal Execution Dependencies
  90. Penalty Decoding: Well Suppress the Self-Reinforcement Effect in Open-Ended Text Generation
  91. Towards LLM-driven Dialogue State Tracking
  92. Bayesian Active Learning in the Presence of Nuisance Parameters
  93. Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens
  94. StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography
  95. Learning Real-World Image De-Weathering with Imperfect Supervision
  96. XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification
  97. Key Frame Mechanism For Efficient Conformer Based End-to-end Speech Recognition
  98. System Combination via Quality Estimation for Grammatical Error Correction
  99. Causal machine learning for single-cell genomics
  100. Robust Depth Linear Error Decomposition with Double Total Variation and Nuclear Norm for Dynamic MRI Reconstruction
  101. Unveiling A Core Linguistic Region in Large Language Models
  102. Efficient Causal Discovery for Robotics Applications
  103. Converting Depth Images and Point Clouds for Feature-based Pose Estimation
  104. PartialFormer: Modeling Part Instead of Whole for Machine Translation
  105. GRLib: An Open-Source Hand Gesture Detection and Recognition Python Library
  106. Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings
  107. Linking Surface Facts to Large-Scale Knowledge Graphs
  108. Orientation-Aware Leg Movement Learning for Action-Driven Human Motion Prediction
  109. Series of Hessian-Vector Products for Tractable Saddle-Free Newton Optimisation of Neural Networks
  110. Universal Knowledge Graph Embeddings
  111. Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanations
  112. Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation
  113. Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support
  114. Non-autoregressive Streaming Transformer for Simultaneous Translation
  115. We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields
  116. A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of Things
  117. Diverse Priors for Deep Reinforcement Learning
  118. Paraphrase Types for Generation and Detection
  119. 3M-TRANSFORMER: A Multi-Stage Multi-Stream Multimodal Transformer for Embodied Turn-Taking Prediction
  120. Dynamically Weighted Federated k-Means
  121. Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing
  122. Adaptive Policy with Wait-k Model for Simultaneous Translation
  123. Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
  124. Zero-Knowledge Proof-based Verifiable Decentralized Machine Learning in Communication Network: A Comprehensive Survey
  125. ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt
  126. Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution
  127. ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling
  128. Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift
  129. Harnessing Attention Mechanisms: Efficient Sequence Reduction using Attention-based Autoencoders
  130. Characterizing how 'distributional' NLP corpora distance metrics are
  131. Sharp error bounds for imbalanced classification: how many examples in the minority class?
  132. ALCUNA: Large Language Models Meet New Knowledge
  133. Analyzing Multilingual Competency of LLMs in Multi-Turn Instruction Following: A Case Study of Arabic
  134. Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities
  135. Deep learning denoiser assisted roughness measurements extraction from thin resists with low Signal-to-Noise Ratio(SNR) SEM images: analysis with SMILE
  136. Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias
  137. Learning spatio-temporal patterns with Neural Cellular Automata
  138. The evolving of Data Science and the Saudi Arabia case. How much have we changed in 13 years?
  139. Leveraging Timestamp Information for Serialized Joint Streaming Recognition and Translation
  140. Cross-Modal Conceptualization in Bottleneck Models
  141. Large Language Models can Share Images, Too!
  142. DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine Reading
  143. What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies
  144. Vision-Enhanced Semantic Entity Recognition in Document Images via Visually-Asymmetric Consistency Learning
  145. An Efficient Imbalance-Aware Federated Learning Approach for Wearable Healthcare with Autoregressive Ratio Observation
  146. Geographical Erasure in Language Generation
  147. Principled Approaches for Learning to Defer with Multiple Experts
  148. Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms
  149. Evaluating the Knowledge Base Completion Potential of GPT
  150. Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
  151. Policy Gradient with Kernel Quadrature
  152. Improved K-mer Based Prediction of Protein-Protein Interactions With Chaos Game Representation, Deep Learning and Reduced Representation Bias
  153. Externally Valid Policy Evaluation Combining Trial and Observational Data
  154. SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research
  155. Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
  156. Efficient and Interpretable Bandit Algorithms
  157. A Comparative Study of Portfolio Optimization Methods for the Indian Stock Market
  158. The Safety Challenges of Deep Learning in Real-World Type 1 Diabetes Management
  159. SAMCLR: Contrastive pre-training on complex scenes using SAM for view sampling
  160. Unleashing the potential of prompt engineering for large language models
  161. Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules
  162. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions
  163. Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks
  164. Rethinking Scale Imbalance in Semi-supervised Object Detection for Aerial Images
  165. BatteryML:An Open-source platform for Machine Learning on Battery Degradation
  166. Random Forest Kernel for High-Dimension Low Sample Size Classification
  167. Strong and Efficient Baselines for Open Domain Conversational Question Answering
  168. A Hybrid GNN approach for predicting node data for 3D meshes
  169. Establishing Vocabulary Tests as a Benchmark for Evaluating Large Language Models
  170. BM2CP: Efficient Collaborative Perception with LiDAR-Camera Modalities
  171. Interaction-Driven Active 3D Reconstruction with Object Interiors
  172. CAwa-NeRF: Instant Learning of Compression-Aware NeRF Features
  173. Federated learning compression designed for lightweight communications
  174. On Unsupervised Partial Shape Correspondence
  175. Identifiability of total effects from abstractions of time series causal graphs
  176. API-Assisted Code Generation for Question Answering on Varied Table Structures
  177. SpEL: Structured Prediction for Entity Linking
  178. Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding
  179. Online Out-of-Domain Detection for Automated Driving
  180. Scrap Your Schedules with PopDescent
  181. Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond
  182. B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction
  183. Data Pruning via Moving-one-Sample-out
  184. DPP-TTS: Diversifying prosodic features of speech via determinantal point processes
  185. Estimation of forest height and biomass from open-access multi-sensor satellite imagery and GEDI Lidar data: high-resolution maps of metropolitan France
  186. Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy
  187. Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs
  188. SPRING-INX: A Multilingual Indian Language Speech Corpus by SPRING Lab, IIT Madras
  189. Invariant Feature Regularization for Fair Face Recognition
  190. Multilingual k-Nearest-Neighbor Machine Translation
  191. Relit-NeuLF: Efficient Relighting and Novel View Synthesis via Neural 4D Light Field
  192. Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval
  193. Multilevel Perception Boundary-guided Network for Breast Lesion Segmentation in Ultrasound Images
  194. Extending Input Contexts of Language Models through Training on Segmented Sequences
  195. Making informed decisions in cutting tool maintenance in milling: A KNN-based model agnostic approach
  196. CrisisMatch: Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification
  197. Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue
  198. Spiking mode-based neural networks
  199. Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz
  200. Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition
  201. That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?
  202. Long Short-Term Planning for Conversational Recommendation Systems
  203. CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference
  204. M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis
  205. Generative Pre-trained Transformer for Vietnamese Community-based COVID-19 Question Answering
  206. Prefix-Tuning Based Unsupervised Text Style Transfer
  207. Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning
  208. Online Auditing of Information Flow
  209. Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
  210. Large Search Model: Redefining Search Stack in the Era of LLMs
  211. GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
  212. JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification
  213. Leveraging Image-Text Similarity and Caption Modification for the DataComp Challenge: Filtering Track and BYOD Track
  214. FedSplitX: Federated Split Learning for Computationally-Constrained Heterogeneous Clients
  215. DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank
  216. Tensor Decomposition Based Attention Module for Spiking Neural Networks
  217. Exploring the Boundaries of GPT-4 in Radiology
  218. Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance
  219. Language Models Hallucinate, but May Excel at Fact Verification
  220. NormDial: A Comparable Bilingual Synthetic Dialog Dataset for Modeling Social Norm Adherence and Violation
  221. F2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns
  222. Polyhedral Surface: Self-supervised Point Cloud Reconstruction Based on Polyhedral Surface
  223. The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languages
  224. S3Aug: Segmentation, Sampling, and Shift for Action Recognition
  225. Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression
  226. Denoising Opponents Position in Partial Observation Environment
  227. Knowledge-Induced Medicine Prescribing Network for Medication Recommendation
  228. Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
  229. Harnessing ChatGPT for thematic analysis: Are we ready?
  230. Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression
  231. Evaluating Large Language Models on Controlled Generation Tasks
  232. Continual Named Entity Recognition without Catastrophic Forgetting
  233. Evaluating Spatial Understanding of Large Language Models
  234. Improving Seq2Seq Grammatical Error Correction via Decoding Interventions
  235. Context-Aware Prediction of User Engagement on Online Social Platforms
  236. Practical Deep Dispersed Watermarking with Synchronization and Fusion
  237. Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems
  238. Marginal Nodes Matter: Towards Structure Fairness in Graphs
  239. Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization
  240. Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method
  241. Rethinking Word-Level Auto-Completion in Computer-Aided Translation
  242. K-Nearest-Neighbors Induced Topological PCA for scRNA Sequence Data Analysis
  243. QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing
  244. Turn-Level Active Learning for Dialogue State Tracking
  245. CorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities
  246. Poster: Real-Time Object Substitution for Mobile Diminished Reality with Edge Computing
  247. CITB: A Benchmark for Continual Instruction Tuning
  248. Iteratively Learn Diverse Strategies with State Distance Information
  249. EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification
  250. Sentiment analysis with adaptive multi-head attention in Transformer
  251. ADoPT: LiDAR Spoofing Attack Detection Based on Point-Level Temporal Consistency
  252. Counterfactual Explanation Generation with s(CASP)
  253. InstructExcel: A Benchmark for Natural Language Instruction in Excel
  254. Robotic Arm Manipulation to Perform Rock Skipping in Simulation
  255. MSFormer: A Skeleton-multiview Fusion Method For Tooth Instance Segmentation
  256. VQ-NeRF: Vector Quantization Enhances Implicit Neural Representations
  257. Text Fact Transfer
  258. Intelligent Escape of Robotic Systems: A Survey of Methodologies, Applications, and Challenges
  259. Chain-of-Factors Paper-Reviewer Matching
  260. Efficient Heterogeneous Graph Learning via Random Projection
  261. Player Re-Identification Using Body Part Appearences
  262. Revisiting Implicit Differentiation for Learning Problems in Optimal Control
  263. Inferring Relational Potentials in Interacting Systems