mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 15 Feb 2024

264 papers

  1. Revisiting Feature Prediction for Learning Visual Representations from VideoWorld models → Latent predictive world models
  2. ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical FeedbackLLM reasoning → Clinical and biomedical applications
  3. Revisiting Experience Replayable ConditionsDeep reinforcement learning methods → Deep RL algorithms and representations
  4. Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data UtilizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  5. On the Vulnerability of LLM/VLM-Controlled RoboticsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  6. Interpretable Imitation Learning via Generative Adversarial STL Inference and ControlOffline RL and imitation learning from data → Imitation learning methods
  7. LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video EditingLLM agents and tool use → Multimodal and embodied agents
  8. A StrongREJECT for Empty JailbreaksLLM safety and security → Jailbreaking
  9. Hierarchical State Space Models for Continuous Sequence-to-Sequence ModelingState-space sequence models (S4, Mamba) → Core SSM architectures for language
  10. Self-Play Fine-Tuning of Diffusion Models for Text-to-Image GenerationDiffusion models → Diffusion and flow policies for robotics +2
  11. Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference AdjustmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  12. Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion ModelDiffusion models → Inverse problems and image restoration
  13. Chain-of-Thought Reasoning Without PromptingLLM reasoning → Prompting and chain-of-thought reasoning
  14. A Trembling House of Cards? Mapping Adversarial Attacks against Language AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
  15. Reward Generalization in RLHF: A Topological PerspectiveLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  16. TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent GenerationLLM agents and tool use → General LLM agent frameworks and benchmarks
  17. Large Scale Constrained Clustering With Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  18. OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning DatasetLLM reasoning → Mathematical reasoning
  19. Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes PatientsLLM agents and tool use → Medical and scientific domain agents
  20. Zero-Shot Reasoning: Personalized Content Generation Without the Cold Start ProblemLLM reasoning → Reasoning for agents, planning and code
  21. Quantized Embedding Vectors for Controllable Diffusion Language ModelsDiffusion models → Discrete and text diffusion
  22. Classification Diffusion Models: Revitalizing Density Ratio EstimationDiffusion models → Diffusion foundations and sampling
  23. QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inferenceEfficient LLM inference and serving → KV cache quantization
  24. Class-Balanced and Reinforced Active Learning on GraphsDeep reinforcement learning methods → RL for games and combinatorial optimization
  25. Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership LeakageLLM safety and security → Membership inference attacks
  26. Towards Safer Large Language Models through Machine UnlearningLLM safety and security → Machine unlearning
  27. UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language ModelsLLM safety and security → Machine unlearning +1
  28. SwissNYF: Tool Grounded LLM Agents for Black Box SettingLLM agents and tool use → Tool learning and function calling
  29. RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  30. Neural Network Approaches for Parameterized Optimal ControlDeep reinforcement learning methods → RL theory and sample complexity
  31. Diffusion Models Meet Contextual BanditsDiffusion models → Diffusion and flow policies for robotics
  32. Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM InversionDiffusion models → Audio, speech and music
  33. Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution ShiftsDeep reinforcement learning methods → RL theory and sample complexity
  34. Accelerating Parallel Sampling of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  35. Case Study: Testing Model Capabilities in Some Reasoning TasksLLM reasoning → Reasoning benchmarks and evaluation
  36. Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  37. Recurrent Reinforcement Learning with MemoroidsDeep reinforcement learning methods → Deep RL algorithms and representations
  38. Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative CommunityLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  39. Performative Reinforcement Learning in Gradually Shifting EnvironmentsDeep reinforcement learning methods → Deep RL algorithms and representations
  40. Chain-of-Planned-Behaviour Workflow Elicits Few-Shot Mobility Generation in LLMsLLM reasoning → Spatial and embodied reasoning
  41. Diffusion Models for Audio RestorationDiffusion models → Audio, speech and music
  42. Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal AlignmentMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  43. DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image PersonalizationDiffusion models → Image generation, text-to-image and editing
  44. EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
  45. Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time WindowsDeep reinforcement learning methods → RL for games and combinatorial optimization
  46. Aligning Crowd Feedback via Distributional Preference Reward ModelingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  47. Grounding Language Model with Chunking-Free In-Context RetrievalRetrieval-augmented generation → Multimodal RAG
  48. AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction SimulatorLLM agents and tool use → Medical and scientific domain agents
  49. A Human-Inspired Reading Agent with Gist Memory of Very Long ContextsLLM agents and tool use → Agent memory systems
  50. Diffusion Model with Cross Attention as an Inductive Bias for DisentanglementDiffusion models → Diffusion foundations and sampling
  51. Universal Black-Box Reward Poisoning Attack against Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  52. PAL: Proxy-Guided Black-Box Attack on Large Language ModelsLLM safety and security → Prompt injection and agent security
  53. CodeMind: Evaluating Large Language Models for Code ReasoningLLM reasoning → Reasoning for agents, planning and code
  54. The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models CollapseSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
  55. Smart Information Exchange for Unsupervised Federated Learning via Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  56. What's in the Flow? Exploiting Temporal Motion Cues for Unsupervised Generic Event Boundary Detection
  57. The Visual Experience Dataset: Over 200 Recorded Hours of Integrated Eye Movement, Odometry, and Egocentric Video
  58. Neural Information Organizing and Processing -- Neural Machines
  59. Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
  60. X-lifecycle Learning for Cloud Incident Management using LLMs
  61. Analyzing the Roles of Language and Vision in Learning from Limited Data
  62. Evolution-based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes
  63. "Model Cards for Model Reporting" in 2024: Reclassifying Category of Ethical Considerations in Terms of Trustworthiness and Risk Management
  64. Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education
  65. Exact Enforcement of Temporal Continuity in Sequential Physics-Informed Neural Networks
  66. Knowledge-guided EEG Representation Learning
  67. Utilizing Machine Learning for Signal Classification and Noise Reduction in Amateur Radio
  68. HKD-SHO: A hybrid smart home system based on knowledge-based and data-driven services
  69. Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data
  70. Non-orthogonal Age-Optimal Information Dissemination in Vehicular Networks: A Meta Multi-Objective Reinforcement Learning Approach
  71. mshw, a forecasting library to predict short-term electricity demand based on multiple seasonal Holt-Winters
  72. Stuck-at Faults in ReRAM Neuromorphic Circuit Array and their Correction through Machine Learning
  73. SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs
  74. Language Models with Conformal Factuality Guarantees
  75. Generative AI and Process Systems Engineering: The Next Frontier
  76. On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection
  77. Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases
  78. BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
  79. Deep Spectral Meshes: Multi-Frequency Facial Mesh Processing with Graph Neural Networks
  80. Transductive Learning Is Compact
  81. Can we Soft Prompt LLMs for Graph Learning Tasks?
  82. Efficient Sampling on Riemannian Manifolds via Langevin MCMC
  83. Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
  84. Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
  85. Evaluating Neural Radiance Fields (NeRFs) for 3D Plant Geometry Reconstruction in Field Conditions
  86. What to Do When Your Discrete Optimization Is the Size of a Neural Network?
  87. HI-GAN: Hierarchical Inpainting GAN with Auxiliary Inputs for Combined RGB and Depth Inpainting
  88. Mathematical Opportunities in Digital Twins (MATH-DT)
  89. The optimal placement of the head in the noun phrase. The case of demonstrative, numeral, adjective and noun
  90. Discrete Probabilistic Inference as Control in Multi-path Environments
  91. How to Discern Important Urgent News?
  92. An Evaluation of Real-time Adaptive Sampling Change Point Detection Algorithm using KCUSUM
  93. Experiments with Encoding Structured Data for Neural Networks
  94. Thompson Sampling in Partially Observable Contextual Bandits
  95. Backdoor Attack against One-Class Sequential Anomaly Detection Models
  96. Information Capacity Regret Bounds for Bandits with Mediator Feedback
  97. SusFL: Energy-Aware Federated Learning-based Monitoring for Sustainable Smart Farms
  98. GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting
  99. Online Control of Linear Systems under Unbounded Noise
  100. BrainWave: A Brain Signal Foundation Model for Clinical Applications
All 264
  1. A Data-Driven Supervised Machine Learning Approach to Estimating Global Ambient Air Pollution Concentrations With Associated Prediction Intervals
  2. Recovering the Pre-Fine-Tuning Weights of Generative Models
  3. Ising on the Graph: Task-specific Graph Subsampling via the Ising Model
  4. Bridging Associative Memory and Probabilistic Modeling
  5. SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
  6. BitDelta: Your Fine-Tune May Only Be Worth One Bit
  7. Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias
  8. FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients
  9. Uncertainty Quantification for In-Context Learning of Large Language Models
  10. Self-consistent Validation for Machine Learning Electronic Structure
  11. Unlocking Structure Measuring: Introducing PDD, an Automatic Metric for Positional Discourse Coherence
  12. OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models
  13. Data Engineering for Scaling Language Models to 128K Context
  14. DeepSRGM -- Sequence Classification and Ranking in Indian Classical Music with Deep Learning
  15. Random features and polynomial rules
  16. ControlLM: Crafting Diverse Personalities for Language Models
  17. f-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning
  18. Reconstructing short-lived particles using hypergraph representation learning
  19. A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets
  20. Tracking Changing Probabilities via Dynamic Learners
  21. TOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles
  22. Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data
  23. Is Continual Learning Ready for Real-world Challenges?
  24. GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering
  25. Nonlinear spiked covariance matrices and signal propagation in deep neural networks
  26. Reusing Softmax Hardware Unit for GELU Computation in Transformers
  27. Generating Visual Stimuli from EEG Recordings using Transformer-encoder based EEG encoder and GAN
  28. Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
  29. Towards Reducing Diagnostic Errors with Interpretable Risk Prediction
  30. GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving
  31. A privacy-preserving, distributed and cooperative FCM-based learning approach for cancer research
  32. Any-Shift Prompting for Generalization over Distributions
  33. Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling
  34. MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
  35. Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4
  36. FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning
  37. Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence
  38. NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction
  39. Balancing the Causal Effects in Class-Incremental Learning
  40. X-maps: Direct Depth Lookup for Event-based Structured Light Systems
  41. Robust semi-automatic vessel tracing in the human retinal image by an instance segmentation neural network
  42. On-Demand Myoelectric Control Using Wake Gestures to Eliminate False Activations During Activities of Daily Living
  43. How Flawed Is ECE? An Analysis via Logit Smoothing
  44. Negative impact of heavy-tailed uncertainty and error distributions on the reliability of calibration statistics for machine learning regression tasks
  45. Feature Accentuation: Revealing 'What' Features Respond to in Natural Images
  46. Predictive Linear Online Tracking for Unknown Targets
  47. Investigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical Heterogeneity
  48. Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification
  49. Self-Augmented In-Context Learning for Unsupervised Word Translation
  50. SAWEC: Sensing-Assisted Wireless Edge Computing
  51. Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length
  52. Clifford Group Equivariant Simplicial Message Passing Networks
  53. Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss function
  54. MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding
  55. Privacy Attacks in Decentralized Learning
  56. LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild
  57. TIAViz: A Browser-based Visualization Tool for Computational Pathology Models
  58. LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition
  59. Symmetry-Breaking Augmentations for Ad Hoc Teamwork
  60. Data Augmentation and Transfer Learning Approaches Applied to Facial Expressions Recognition
  61. Deep learning for the design of non-Hermitian topolectrical circuits
  62. Fast Vocabulary Transfer for Language Model Compression
  63. Current and future roles of artificial intelligence in retinopathy of prematurity
  64. Why are Sensitive Functions Hard for Transformers?
  65. ViGEO: an Assessment of Vision GNNs in Earth Observation
  66. Enhancing Courier Scheduling in Crowdsourced Last-Mile Delivery through Dynamic Shift Extensions: A Deep Reinforcement Learning Approach
  67. On Designing Features for Condition Monitoring of Rotating Machines
  68. Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation
  69. Multi-word Tokenization for Sequence Compression
  70. Neural 5G Indoor Localization with IMU Supervision
  71. Explaining Probabilistic Models with Distributional Values
  72. FedLion: Faster Adaptive Federated Optimization with Fewer Communication
  73. Generative AI in the Construction Industry: A State-of-the-art Analysis
  74. Paying Attention to Deflections: Mining Pragmatic Nuances for Whataboutism Detection in Online Discourse
  75. A Dataset of Open-Domain Question Answering with Multiple-Span Answers
  76. Identifying and modelling cognitive biases in mobility choices
  77. Road Graph Generator: Mapping roads at construction sites from GPS data
  78. BUSTER: a "BUSiness Transaction Entity Recognition" dataset
  79. Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering
  80. DE-COP: Detecting Copyrighted Content in Language Models Training Data
  81. Generative Representational Instruction Tuning
  82. COVIDHealth: A Benchmark Twitter Dataset and Machine Learning based Web Application for Classifying COVID-19 Discussions
  83. Not Just Novelty: A Longitudinal Study on Utility and Customization of an AI Workflow
  84. Do causal predictors generalize better to new domains?
  85. Lester: rotoscope animation through video object segmentation and tracking
  86. Explaining Kernel Clustering via Decision Trees
  87. Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence
  88. On Computing Plans with Uniform Action Costs
  89. Camouflage is all you need: Evaluating and Enhancing Language Model Robustness Against Camouflage Adversarial Attacks
  90. MuChin: A Chinese Colloquial Description Benchmark for Evaluating Language Models in the Field of Music
  91. Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs
  92. Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking
  93. Recommendations for Baselines and Benchmarking Approximate Gaussian Processes
  94. A Deep Learning Approach to Radar-based QPE
  95. Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent
  96. LAPDoc: Layout-Aware Prompting for Documents
  97. All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining
  98. Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data
  99. Utilizing Deep Learning for Enhancing Network Resilience in Finance
  100. TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming
  101. Knowledge of Pretrained Language Models on Surface Information of Tokens
  102. Two trust region type algorithms for solving nonconvex-strongly concave minimax problems
  103. Criterion Collapse and Loss Distribution Control
  104. Closed-form Filtering for Non-linear Systems
  105. An advanced data fabric architecture leveraging homomorphic encryption and federated learning
  106. System-level Impact of Non-Ideal Program-Time of Charge Trap Flash (CTF) on Deep Neural Network
  107. Examining Pathological Bias in a Generative Adversarial Network Discriminator: A Case Study on a StyleGAN3 Model
  108. Sequential Recommendation on Temporal Proximities with Contrastive Learning and Self-Attention
  109. MC-DBN: A Deep Belief Network-Based Model for Modality Completion
  110. A Comprehensive Review on Computer Vision Analysis of Aerial Data
  111. TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems
  112. NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models
  113. Learning Using a Single Forward Pass
  114. From Variability to Stability: Advancing RecSys Benchmarking Practices
  115. A Framework For Gait-Based User Demography Estimation Using Inertial Sensors
  116. Efficient Language Adaptive Pre-training: Extending State-of-the-Art Large Language Models for Polish
  117. Extrapolation-Aware Nonparametric Statistical Inference
  118. Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysis
  119. Pinning "Reflection" on the Agenda: Investigating Reflection in Human-LLM Co-Creation for Creative Coding
  120. Model Compression and Efficient Inference for Large Language Models: A Survey
  121. Less is more: Ensemble Learning for Retinal Disease Recognition Under Limited Resources
  122. Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment
  123. QuRating: Selecting High-Quality Data for Training Language Models
  124. Align before Attend: Aligning Visual and Textual Features for Multimodal Hateful Content Detection
  125. DFORM: Diffeomorphic vector field alignment for assessing dynamics across learned models
  126. Agents Need Not Know Their Purpose
  127. Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States
  128. POBEVM: Real-time Video Matting via Progressively Optimize the Target Body and Edge
  129. DOF: Accelerating High-order Differential Operators with Forward Propagation
  130. Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System
  131. AbuseGPT: Abuse of Generative AI ChatBots to Create Smishing Campaigns
  132. Improving Non-autoregressive Machine Translation with Error Exposure and Consistency Regularization
  133. Region Feature Descriptor Adapted to High Affine Transformations
  134. Efficient Prompt Optimization Through the Lens of Best Arm Identification
  135. Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields
  136. Generalized Principal-Agent Problem with a Learning Agent
  137. Visually Dehallucinative Instruction Generation: Know What You Don't Know
  138. DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service
  139. Node Duplication Improves Cold-start Link Prediction
  140. Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks
  141. Sparse and Faithful Explanations Without Sparse Models
  142. Combining Evidence Across Filtrations
  143. An Analysis of Language Frequency and Error Correction for Esperanto
  144. Seed Optimization with Frozen Generator for Superior Zero-shot Low-light Enhancement
  145. Robust Learning-Augmented Dictionaries
  146. Exploring a Behavioral Model of "Positive Friction" in Human-AI Interaction
  147. Prompt-based Personalized Federated Learning for Medical Visual Question Answering
  148. HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network
  149. Exploiting Alpha Transparency In Language And Vision-Based AI Systems
  150. How to Train Data-Efficient LLMs
  151. EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion
  152. Hand Shape and Gesture Recognition using Multiscale Template Matching, Background Subtraction and Binary Image Analysis
  153. User Modeling and User Profiling: A Comprehensive Survey
  154. Towards Precision Cardiovascular Analysis in Zebrafish: The ZACAF Paradigm
  155. Digital versus Analog Transmissions for Federated Learning over Wireless Networks
  156. GPT-4's assessment of its performance in a USMLE-based case study
  157. Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian
  158. Foul prediction with estimated poses from soccer broadcast video
  159. ProtChatGPT: Towards Understanding Proteins with Large Language Models
  160. Answer is All You Need: Instruction-following Text Embedding via Answering the Question
  161. Multi-Fidelity Methods for Optimization: A Survey
  162. Spatiotemporal Disentanglement of Arteriovenous Malformations in Digital Subtraction Angiography
  163. VisIRNet: Deep Image Alignment for UAV-taken Visible and Infrared Image Pairs
  164. Representation Surgery: Theory and Practice of Affine Steering