mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 3 Oct 2023

273 papers

  1. Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  2. Conceptual Framework for Autonomous Cognitive EntitiesLLM agents and tool use → General LLM agent frameworks and benchmarks
  3. AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  4. Human-Like Autonomous Driving on Dense TrafficEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
  5. Learning Optimal Advantage from Preferences and Mistaking it for RewardLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  6. Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical NotesLLM safety and security → Safety alignment, refusal and guardrails
  7. Low-Resource Languages Jailbreak GPT-4LLM safety and security → Jailbreaking
  8. Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with MisconceptionsLLM reasoning → Mathematical reasoning
  9. EditVal: Benchmarking Diffusion Based Text-Guided Image Editing MethodsDiffusion models → Image generation, text-to-image and editing
  10. Can a student Large Language Model perform as well as it's teacher?Knowledge distillation → General knowledge distillation methods
  11. Jailbreaker in Jail: Moving Target Defense for Large Language ModelsLLM safety and security → Jailbreaking
  12. Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and RobustnessMixture-of-experts → MoE large language models
  13. PCGPT: Procedural Content Generation via TransformersOffline RL and imitation learning from data → Decision transformers and sequence modeling
  14. FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  15. SE(3)-Stochastic Flow Matching for Protein Backbone GenerationDiffusion models → Flow matching, time series and science
  16. Conversational Health Agents: A Personalized LLM-Powered Agent FrameworkLLM agents and tool use → Medical and scientific domain agents
  17. Reinforcement Learning from Automatic Feedback for High-Quality Unit Test GenerationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  18. Self-Taught Optimizer (STOP): Recursively Self-Improving Code GenerationSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
  19. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsLLM reasoning → Multimodal reasoning +1
  20. Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
  21. Hierarchical Generation of Human-Object Interactions with Diffusion Probabilistic ModelsDiffusion models → Video generation
  22. MiniGPT-5: Interleaved Vision-and-Language Generation via Generative VokensMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  23. Who's Harry Potter? Approximate Unlearning in LLMsLLM safety and security → Machine unlearning
  24. Think before you speak: Training Language Models With Pause TokensLLM reasoning → Test-time compute and efficient thinking
  25. Can Language Models be Instructed to Protect Personal Information?Multimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  26. Lyfe Agents: Generative agents for low-cost real-time social interactionsLLM agents and tool use → General LLM agent frameworks and benchmarks
  27. A Dynamic LLM-Powered Agent Network for Task-Oriented Agent CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
  28. Learning Reliable Logical Rules with SATNetLLM reasoning → Reasoning benchmarks and evaluation
  29. Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology ViewWorld models → World models for language agents +1
  30. Sieve: Multimodal Dataset Pruning Using Image Captioning ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  31. Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and BeyondMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  32. AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion ModelDiffusion models → Diffusion and flow policies for robotics +1
  33. Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word ProblemsLLM reasoning → Mathematical reasoning
  34. Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous DrivingEnd-to-end autonomous driving → Large language models for driving
  35. PPT: Token Pruning and Pooling for Efficient Vision TransformersEfficient LLM inference and serving → Token pruning and merging for ViTs
  36. Model Tells You What to Discard: Adaptive KV Cache Compression for LLMsEfficient LLM inference and serving → KV cache optimization
  37. SMRD: SURE-based Robust MRI Reconstruction with Diffusion ModelsDiffusion models → Medical imaging and segmentation
  38. Large Language Models Cannot Self-Correct Reasoning YetLLM reasoning → Test-time compute and efficient thinking
  39. HallE-Control: Controlling Object Hallucination in Large Multimodal ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  40. STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient DescentLLM reasoning → Spatial and embodied reasoning
  41. Backdiff: a diffusion model for generalized transferable protein backmappingDiffusion models → Flow matching, time series and science
  42. Large Language Models as Analogical ReasonersLLM reasoning → Prompting and chain-of-thought reasoning
  43. Artificial Intelligence for EEG Prediction: Applied Chaos Theory
  44. Curve-based Neural Style Transfer
  45. AI-based association analysis for medical imaging using latent-space geometric confounder correction
  46. HPC-GPT: Integrating Large Language Model for High-Performance Computing
  47. What's Next in Affective Modeling? Large Language Models
  48. Dimensions of Disagreement: Unpacking Divergence and Misalignment in Cognitive Science and Artificial Intelligence
  49. An evolutionary model of personality traits related to cooperative behavior using a large language model
  50. Short text classification with machine learning in the social sciences: The case of climate change on Twitter
  51. Investigating Large Language Models' Perception of Emotion Using Appraisal Theory
  52. Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning
  53. EcoAssistant: Using LLM Assistant More Affordably and Accurately
  54. A Deep Reinforcement Learning Approach for Interactive Search with Sentence-level Feedback
  55. FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling
  56. DON-LSTM: Multi-Resolution Learning with DeepONets and Long Short-Term Memory Neural Networks
  57. ResidualTransformer: Residual Low-Rank Learning with Weight-Sharing for Transformer Layers
  58. OCU-Net: A Novel U-Net Architecture for Enhanced Oral Cancer Segmentation
  59. Splitting the Difference on Adversarial Training
  60. ML4EJ: Decoding the Role of Urban Features in Shaping Environmental Injustice Using Interpretable Machine Learning
  61. Prompting-based Temporal Domain Generalization
  62. PrivacyMind: Large Language Models Can Be Contextual Privacy Protection Learners
  63. Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback
  64. Distributionally Safe Reinforcement Learning under Model Uncertainty: A Single-Level Approach by Differentiable Convex Programming
  65. The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models
  66. Dual-stage Flows-based Generative Modeling for Traceable Urban Planning
  67. Feather: An Elegant Solution to Effective DNN Sparsification
  68. Machine learning assist nyc subway navigation safer and faster
  69. GenCO: Generating Diverse Designs with Combinatorial Constraints
  70. Learning Diverse Skills for Local Navigation under Multi-constraint Optimality
  71. EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields
  72. Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control
  73. Can Large Language Models Provide Security & Privacy Advice? Measuring the Ability of LLMs to Refute Misconceptions
  74. Episodic Memory Theory for the Mechanistic Interpretation of Recurrent Neural Networks
  75. EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations
  76. AXNav: Replaying Accessibility Tests from Natural Language
  77. Delta-AI: Local objectives for amortized inference in sparse graphical models
  78. OneAdapt: Fast Configuration Adaptation for Video Analytics Applications via Backpropagation
  79. FedL2P: Federated Learning to Personalize
  80. Bag of Tricks for Fully Test-Time Adaptation
  81. Dodo: Dynamic Contextual Compression for Decoder-only LMs
  82. MindTheDApp: A Toolchain for Complex Network-Driven Structural Analysis of Ethereum-based Decentralised Applications
  83. Challenging Bug Prediction and Repair Models with Synthetic Bugs
  84. On the Parallel Complexity of Multilevel Monte Carlo in Stochastic Gradient Descent
  85. Reducing Intraspecies and Interspecies Covariate Shift in Traumatic Brain Injury EEG of Humans and Mice Using Transfer Euclidean Alignment
  86. Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse
  87. ScaleNet: An Unsupervised Representation Learning Method for Limited Information
  88. Unsupervised Speech Recognition with N-Skipgram and Positional Unigram Matching
  89. Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation
  90. SelectFormer: Private and Practical Data Selection for Transformers
  91. ProtoNER: Few shot Incremental Learning for Named Entity Recognition using Prototypical Networks
  92. Stochastic force inference via density estimation
  93. Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
  94. On the definition of toxicity in NLP
  95. Reasoning about Intuitionistic Computation Tree Logic
  96. Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach
  97. Rollout Heuristics for Online Stochastic Contingent Planning
  98. Autonomous Systems' Safety Cases for use in UK Nuclear Environments
  99. Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing
  100. Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images
All 273
  1. Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
  2. Prompting Audios Using Acoustic Properties For Emotion Representation
  3. CLIP Is Also a Good Teacher: A New Learning Framework for Inductive Zero-shot Semantic Segmentation
  4. Unsupervised Complex Semi-Binary Matrix Factorization for Activation Sequence Recovery of Quasi-Stationary Sources
  5. DREAM: Visual Decoding from Reversing Human Visual System
  6. Generalizable Long-Horizon Manipulations with Large Language Models
  7. Automatic Pair Construction for Contrastive Post-training
  8. RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving
  9. TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentation
  10. A Neural Scaling Law from Lottery Ticket Ensembling
  11. Learning unitaries with quantum statistical queries
  12. Why should autoencoders work?
  13. Harnessing Pre-Trained Sentence Transformers for Offensive Language Detection in Indian Languages
  14. Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances
  15. Learning quantum Hamiltonians at any temperature in polynomial time
  16. Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness
  17. Automatic Quality Assessment of Wikipedia Articles -- A Systematic Literature Review
  18. MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection
  19. Generalized Schr"odinger Bridge Matching
  20. HoloNets: Spectral Convolutions do extend to Directed Graphs
  21. Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks
  22. Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models
  23. SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
  24. Structurally guided task decomposition in spatial navigation tasks
  25. What do we learn from a large-scale study of pre-trained visual representations in sim and real environments?
  26. An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning
  27. Language Models Represent Space and Time
  28. Chunking: Continual Learning is not just about Distribution Shift
  29. Learnable Data Augmentation for One-Shot Unsupervised Domain Adaptation
  30. Online Dispatching and Routing for Automated Guided Vehicles in Pickup and Delivery Systems on Loop-Based Graphs
  31. Uncertainty Quantification in Inverse Models in Hydrology
  32. Ask Again, Then Fail: Large Language Models' Vacillations in Judgment
  33. Editing Personality for Large Language Models
  34. Towards a Unified Framework for Sequential Decision Making
  35. Large Language Models Meet Knowledge Graphs to Answer Factoid Questions
  36. Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models
  37. Probabilistically Rewired Message-Passing Neural Networks
  38. Graph Neural Network-based EEG Classification: A Survey
  39. Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation
  40. PAD-Phys: Exploiting Physiology for Presentation Attack Detection in Face Biometrics
  41. Unveiling the Pitfalls of Knowledge Editing for Large Language Models
  42. TWIZ-v2: The Wizard of Multimodal Conversational-Stimulus
  43. Symmetric Single Index Learning
  44. Coarse-to-Fine Concept Bottleneck Models
  45. FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks
  46. Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice
  47. Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance
  48. Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration
  49. CoNO: Complex Neural Operator for Continuous Dynamical Systems
  50. Stochastic Gradient Descent with Preconditioned Polyak Step-size
  51. 1D-CapsNet-LSTM: A Deep Learning-Based Model for Multi-Step Stock Index Forecasting
  52. Point Neighborhood Embeddings
  53. Learning Quantum Processes with Quantum Statistical Queries
  54. ACE: A fast, skillful learned global atmospheric model for climate prediction
  55. Content Bias in Deep Learning Image Age Approximation: A new Approach Towards better Explainability
  56. De Novo Drug Design with Joint Transformers
  57. VENOM: A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
  58. Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform
  59. Global Attractor for a Reaction-Diffusion Model Arising in Biological Dynamic in 3D Soil Structure
  60. Controlling Topic-Focus Articulation in Meaning-to-Text Generation using Graph Neural Networks
  61. Tuning Large language model for End-to-end Speech Translation
  62. Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction
  63. How Physics and Background Attributes Impact Video Transformers in Robotic Manipulation: A Case Study on Planar Pushing
  64. The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers under Fully Homomorphic Encryption on the Torus
  65. Jury: A Comprehensive Evaluation Toolkit
  66. An evaluation of pre-trained models for feature extraction in image classification
  67. aSAGA: Automatic Sleep Analysis with Gray Areas
  68. OceanGPT: A Large Language Model for Ocean Science Tasks
  69. Between accurate prediction and poor decision making: the AI/ML gap
  70. DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks
  71. DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
  72. Nash Regret Guarantees for Linear Bandits
  73. Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-based NLG Method
  74. Ranking a Set of Objects using Heterogeneous Workers: QUITE an Easy Problem
  75. Spectral operator learning for parametric PDEs without data reliance
  76. Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
  77. Decoding Human Activities: Analyzing Wearable Accelerometer and Gyroscope Data for Activity Recognition
  78. fmeffects: An R Package for Forward Marginal Effects
  79. Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning
  80. MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts
  81. Development of Machine Vision Approach for Mechanical Component Identification based on its Dimension and Pitch
  82. Understanding Masked Autoencoders From a Local Contrastive Perspective
  83. Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data
  84. Federated Wasserstein Distance
  85. Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
  86. Soda: An Object-Oriented Functional Language for Specifying Human-Centered Problems
  87. Language Models as Knowledge Bases for Visual Word Sense Disambiguation
  88. Beyond Labeling Oracles: What does it mean to steal ML models?
  89. Probabilistic Reach-Avoid for Bayesian Neural Networks
  90. CoralVOS: Dataset and Benchmark for Coral Video Segmentation
  91. Ravestate: Distributed Composition of a Causal-Specificity-Guided Interaction Policy
  92. OOD Aware Supervised Contrastive Learning
  93. Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
  94. Constructing Image-Text Pair Dataset from Books
  95. Robust deformable image registration using cycle-consistent implicit representations
  96. MarineDet: Towards Open-Marine Object Detection
  97. Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Models
  98. DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
  99. RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image Classification
  100. Hierarchical Evaluation Framework: Best Practices for Human Evaluation
  101. Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images
  102. Improving style transfer in dynamic contrast enhanced MRI using a spatio-temporal approach
  103. Beyond the Benchmark: Detecting Diverse Anomalies in Videos
  104. MFOS: Model-Free & One-Shot Object Pose Estimation
  105. FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations
  106. Ring Attention with Blockwise Transformers for Near-Infinite Context
  107. BYOM: Building Your Own Multi-Task Model For Free
  108. Synthetic CT Generation via Variant Invertible Network for All-digital Brain PET Attenuation Correction
  109. Enhanced LFTSformer: A Novel Long-Term Financial Time Series Prediction Model Using Advanced Feature Engineering and the DS Encoder Informer Architecture
  110. Adaptive Multi-NeRF: Exploit Efficient Parallelism in Adaptive Multiple Scale Neural Radiance Field Rendering
  111. AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
  112. A Dual Attentive Generative Adversarial Network for Remote Sensing Image Change Detection
  113. Towards Stable Backdoor Purification through Feature Shift Tuning
  114. DeepDecipher: Accessing and Investigating Neuron Activation in Large Language Models
  115. Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
  116. Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos
  117. High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise
  118. Variational Gaussian approximation of the Kushner optimal filter
  119. Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?
  120. Score-based Data Assimilation for a Two-Layer Quasi-Geostrophic Model
  121. LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
  122. Benchmarking and Improving Generator-Validator Consistency of Language Models
  123. Zero-Shot Refinement of Buildings' Segmentation Models using SAM
  124. Selective Feature Adapter for Dense Vision Transformers
  125. SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering
  126. Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes
  127. Preserving Phonemic Distinctions for Ordinal Regression: A Novel Loss Function for Automatic Pronunciation Assessment
  128. Extending CAM-based XAI methods for Remote Sensing Imagery Segmentation
  129. EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis
  130. Skin the sheep not only once: Reusing Various Depth Datasets to Drive the Learning of Optical Flow
  131. Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?
  132. AI-Generated Images as Data Source: The Dawn of Synthetic Era
  133. Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentation
  134. Learning and reusing primitive behaviours to improve Hindsight Experience Replay sample efficiency
  135. Empirical Study of PEFT techniques for Winter Wheat Segmentation
  136. Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI
  137. MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields
  138. Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
  139. TP2O: Creative Text Pair-to-Object Generation using Balance Swap-Sampling
  140. AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework
  141. What Determines the Price of NFTs?
  142. Simulation-based Inference with the Generalized Kullback-Leibler Divergence
  143. Discrete, compositional, and symbolic representations through attractor dynamics
  144. Improvement and Enhancement of YOLOv5 Small Target Recognition Based on Multi-module Optimization
  145. Comparative study of microgrid optimal scheduling under multi-optimization algorithm fusion
  146. GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
  147. Online POMDP Planning with Anytime Deterministic Optimality Guarantees
  148. Can large language models provide useful feedback on research papers? A large-scale empirical analysis
  149. SEA: Sparse Linear Attention with Estimated Attention Mask
  150. A simple connection from loss flatness to compressed neural representations
  151. How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization
  152. Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning
  153. Learning Causal Alignment for Reliable Disease Diagnosis
  154. Data Cleaning and Machine Learning: A Systematic Literature Review
  155. Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization
  156. Linearization of ReLU Activation Function for Neural Network-Embedded Optimization: Optimal Day-Ahead Energy Scheduling
  157. Improved Algorithms for Adversarial Bandits with Unbounded Losses
  158. ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
  159. CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery
  160. Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns
  161. 5G Network Slicing: Analysis of Multiple Machine Learning Classifiers
  162. Randomized Dimension Reduction with Statistical Guarantees
  163. Blending Imitation and Reinforcement Learning for Robust Policy Improvement
  164. Learning Expected Appearances for Intraoperative Registration during Neurosurgery
  165. Nugget: Neural Agglomerative Embeddings of Text
  166. Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
  167. Can GPT-4 Replicate Empirical Software Engineering Research?
  168. Large Language Models for Test-Free Fault Localization
  169. Perceiver-based CDF Modeling for Time Series Forecasting
  170. Ensemble Distillation for Unsupervised Constituency Parsing
  171. Generative Autoencoding of Dropout Patterns
  172. Deciphering Diagnoses: How Large Language Models Explanations Influence Clinical Decision Making
  173. On Representation Complexity of Model-based and Model-free Reinforcement Learning