mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 25 Oct 2024

248 papers

  1. Can We Trust AI Agents? A Case Study of an LLM-Based Multi-Agent System for Ethical AILLM agents and tool use → General LLM agent frameworks and benchmarks
  2. Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language PromptsDiffusion models → Diffusion foundations and sampling
  3. MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document UnderstandingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  4. Cooperative Strategic Planning Enhances Reasoning Capabilities in Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
  5. Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series ForecastingDeep reinforcement learning methods → RL for energy, networks and operations
  6. On-Robot Reinforcement Learning with Goal-Contrastive RewardsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  7. Random Policy Enables In-Context Reinforcement Learning within Trust HorizonsDeep reinforcement learning methods → Deep RL algorithms and representations
  8. Bridging Stepwise Lab-Informed Pretraining and Knowledge-Guided Learning for Diagnostic ReasoningLLM reasoning → Clinical and biomedical applications
  9. RobustKV: Defending Large Language Models against Jailbreak Attacks via KV EvictionLLM safety and security → Jailbreaking
  10. Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy OptimizationLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  11. Improving Multimodal Large Language Models Using Continual LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  12. Language Agents Meet Causality -- Bridging LLMs and Causal World ModelsWorld models → World models for language agents +1
  13. Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt OverfittingLLM agents and tool use → Reinforcement learning for LLM agents +1
  14. Provably Adaptive Average Reward Reinforcement Learning for Metric SpacesDeep reinforcement learning methods → RL theory and sample complexity
  15. Topology-aware Mamba for Crack Segmentation in StructuresState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  16. Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
  17. Counting Ability of Large Language Models and Impact of TokenizationLLM reasoning → Test-time compute and efficient thinking
  18. 2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional SupervisionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  19. Adversarial Environment Design via Regret-Guided Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
  20. DA-VIL: Adaptive Dual-Arm Manipulation with Reinforcement Learning and Variable Impedance ControlDeep reinforcement learning methods → RL for robot locomotion and manipulation
  21. TimeSuite: Improving MLLMs for Long Video Understanding via Grounded TuningMultimodal LLMs / vision-language models → Video understanding with MLLMs
  22. MILES: Making Imitation Learning Easy with Self-SupervisionOffline RL and imitation learning from data → Robot manipulation imitation learning +1
  23. AGENT-CQ: Automatic Generation and Evaluation of Clarifying Questions for Conversational Search with LLMsLLM agents and tool use → Web, search, and research agents
  24. DiffGS: Functional Gaussian Splatting DiffusionDiffusion models → 3D, point cloud and scene generation
  25. OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and OptimizationLLM agents and tool use → Web, search, and research agents
  26. Take Caution in Using LLMs as Human Surrogates: Scylla Ex MachinaLLM reasoning → Reasoning benchmarks and evaluation
  27. ChunkRAG: Novel LLM-Chunk Filtering Method for RAG SystemsRetrieval-augmented generation → Multimodal RAG
  28. Robotic Learning in your Backyard: A Neural Simulator from Open Source ComponentsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  29. GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote SensingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  30. Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?LLM reasoning → Multimodal reasoning +1
  31. Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time SeriesDiffusion models → Flow matching, time series and science
  32. AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent DesignDeep reinforcement learning methods → RL training of language and agent models
  33. MoE-Enhanced Explainable Deep Manifold Transformation for Complex Data Embedding and VisualizationMixture-of-experts → Vision mixture-of-experts
  34. SWITCH: Studying with Teacher for Knowledge Distillation of Large Language ModelsKnowledge distillation → Knowledge distillation for LLMs
  35. Graph Linearization Methods for Reasoning on Graphs with Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  36. EDGE: Enhanced Grounded GUI Understanding with Enriched Multi-Granularity Synthetic DataSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
  37. NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video ReconstructionDiffusion models → Medical imaging and segmentation
  38. Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential ExplorationOffline RL and imitation learning from data → Offline multi-agent RL
  39. Learned Reference-based Diffusion Sampling for multi-modal distributionsDiffusion models → Diffusion foundations and sampling
  40. Evolving choice hysteresis in reinforcement learning: comparing the adaptive value of positivity bias and gradual perseverationDeep reinforcement learning methods → RL for games and combinatorial optimization
  41. Generative Diffusion Models for Sequential RecommendationsDiffusion models → Diffusion recommenders
  42. Offline Reinforcement Learning with OOD State Correction and OOD Action SuppressionOffline RL and imitation learning from data → Offline RL algorithms
  43. Investigating the Role of Prompting and External Tools in Hallucination Rates of Large Language ModelsLLM agents and tool use → Medical and scientific domain agents
  44. Multi-Agent Reinforcement Learning with Selective State-Space ModelsState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  45. Visual Imitation Learning of Non-Prehensile Manipulation Tasks with Dynamics-Supervised ModelsWorld models → Embodied and robot world models +1
  46. An Enhanced Hierarchical Planning Framework for Multi-Robot Autonomous ExplorationDeep reinforcement learning methods → RL for robot navigation and UAV control
  47. FasterCache: Training-Free Video Diffusion Model Acceleration with High QualityDiffusion models → Video generation
  48. AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive ScenariosLLM agents and tool use → General LLM agent frameworks and benchmarks
  49. High Resolution Seismic Waveform Generation using Denoising DiffusionDiffusion models → Flow matching, time series and science
  50. Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusionDiffusion models → Diffusion foundations and sampling
  51. Flow Generator MatchingDiffusion models → Flow matching, time series and science
  52. Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias CorrectingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  53. Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite LearningSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
  54. A Flow-based Truncated Denoising Diffusion Model for Super-resolution Magnetic Resonance Spectroscopic ImagingDiffusion models → Medical imaging and segmentation
  55. Applying sparse autoencoders to unlearn knowledge in language modelsLLM safety and security → Machine unlearning +1
  56. Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and ReasoningLLM reasoning → Test-time compute and efficient thinking +1
  57. MaCTG: Multi-Agent Collaborative Thought Graph for Automatic ProgrammingLLM reasoning → Reasoning for agents, planning and code +1
  58. Designing AI-Agents with Personalities: A Psychometric ApproachLLM agents and tool use → Social simulation and multi-agent debate
  59. Learning Diffusion Policies from Demonstrations For Compliant Contact-rich ManipulationDiffusion models → Diffusion and flow policies for robotics
  60. Hierarchical Mixture of Experts: Generalizable Learning for High-Level SynthesisMixture-of-experts → Expert routing strategies
  61. Can Stories Help LLMs Reason? Curating Information Space Through NarrativeLLM reasoning → Reasoning benchmarks and evaluation
  62. Goetterfunke: Creativity in Machinae Sapiens. About the Qualitative Shift in Generative AI with a Focus on Text-To-Image
  63. Navigating AI in Social Work and Beyond: A Multidisciplinary Review
  64. A Tutorial on Teaching Data Analytics with Generative AI
  65. ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models
  66. GraphLSS: Integrating Lexical, Structural, and Semantic Features for Long Document Extractive Summarization
  67. Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches
  68. textttPatentAgent: Intelligent Agent for Automated Pharmaceutical Patent Analysis
  69. ArCSEM: Artistic Colorization of SEM Images via Gaussian Splatting
  70. A Robust Anchor-based Method for Multi-Camera Pedestrian Localization
  71. Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges
  72. GPT-4o System Card
  73. A Survey of Small Language Models
  74. Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models
  75. Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud
  76. Artificial Intelligence of Things: A Survey
  77. A-MFST: Adaptive Multi-Flow Sparse Tracker for Real-Time Tissue Tracking Under Occlusion
  78. Dimension reduction via score ratio matching
  79. Residual Random Neural Networks
  80. Resolving Domain Shift For Representations Of Speech In Non-Invasive Brain Recordings
  81. Global Graph Counterfactual Explanation: A Subgraph Mapping Approach
  82. Evaluating Cost-Accuracy Trade-offs in Multimodal Search Relevance Judgements
  83. Multi-Class Abnormality Classification Task in Video Capsule Endoscopy
  84. OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery
  85. Understanding Adam Requires Better Rotation Dependent Assumptions
  86. Turn-by-Turn Indoor Navigation for the Visually Impaired
  87. Statistical Inference in Classification of High-dimensional Gaussian Mixture
  88. Assessing the societal influence of academic research with ChatGPT: Impact case study evaluations
  89. A Multimodal Approach For Endoscopic VCE Image Classification Using BiomedCLIP-PubMedBERT
  90. Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
  91. Cobblestone: A Divide-and-Conquer Approach for Automating Formal Verification
  92. Do Discrete Self-Supervised Representations of Speech Capture Tone Distinctions?
  93. Tracking and triangulating firefly flashes in field recordings
  94. Provable optimal transport with transformers: The essence of depth and prompt engineering
  95. Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks
  96. Disentangling Genotype and Environment Specific Latent Features for Improved Trait Prediction using a Compositional Autoencoder
  97. Method for noise-induced regularization in quantum neural networks
  98. Collaborative Inference over Wireless Channels with Feature Differential Privacy
  99. AI-Driven Scenarios for Urban Mobility: Quantifying the Role of ODE Models and Scenario Planning in Reducing Traffic Congestion
  100. Simmering: Sufficient is better than optimal for training neural networks
All 248
  1. Exploring Self-Supervised Learning with U-Net Masked Autoencoders and EfficientNet-B7 for Improved Gastrointestinal Abnormality Classification in Video Capsule Endoscopy
  2. A Review of Deep Learning Approaches for Non-Invasive Cognitive Impairment Detection
  3. FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis
  4. Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems
  5. Ensembling Finetuned Language Models for Text Classification
  6. EnergyPlus Room Simulator
  7. TBBC: Predict True Bacteraemia in Blood Cultures via Deep Learning
  8. Model merging with SVD to tie the Knots
  9. ReMe: Scaffolding Personalized Cognitive Training via Controllable LLM-Mediated Conversations
  10. cymyc -- Calabi-Yau Metrics, Yukawas, and Curvature
  11. FISHNET: Financial Intelligence from Sub-querying, Harmonizing, Neural-Conditioning, Expert Swarms, and Task Planning
  12. On the Benefits of Active Data Collection in Operator Learning
  13. Sparse Decomposition of Graph Neural Networks
  14. Temporal Convolution-based Hybrid Model Approach with Representation Learning for Real-Time Acoustic Anomaly Detection
  15. Arabic Music Classification and Generation using Deep Learning
  16. Evolving Neural Networks Reveal Emergent Collective Behavior from Minimal Agent Interactions
  17. Water and Electricity Consumption Forecasting at an Educational Institution using Machine Learning models with Metaheuristic Optimization
  18. Super Gradient Descent: Global Optimization requires Global Gradient
  19. Robust Thompson Sampling Algorithms Against Reward Poisoning Attacks
  20. Multi-view biomedical foundation models for molecule-target and property prediction
  21. Enhancing Resilience and Scalability in Travel Booking Systems: A Microservices Approach to Fault Tolerance, Load Balancing, and Service Discovery
  22. IPPON: Common Sense Guided Informative Path Planning for Object Goal Navigation
  23. Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs
  24. Deep Learning for Classification of Inflammatory Bowel Disease Activity in Whole Slide Images of Colonic Histopathology
  25. ProvocationProbe: Instigating Hate Speech Dataset from Twitter
  26. Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
  27. Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective
  28. Spatial Shortcuts in Graph Neural Controlled Differential Equations
  29. Electromechanical Dynamics of the Heart: A Study of Cardiac Hysteresis During Physical Stress Test
  30. MetaTrading: An Immersion-Aware Model Trading Framework for Vehicular Metaverse Services
  31. Conformal Prediction for Multimodal Regression
  32. Deep learning-based identification of patients at increased risk of cancer using routine laboratory markers
  33. Improving Stochastic Cubic Newton with Momentum
  34. Impact of Leakage on Data Harmonization in Machine Learning Pipelines in Class Imbalance Across Sites
  35. VARS: Vision-based Assessment of Risk in Security Systems
  36. Planning-Aware Diffusion Networks for Enhanced Motion Forecasting in Autonomous Driving
  37. A distributional simplicity bias in the learning dynamics of transformers
  38. Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models
  39. Efficient Biological Data Acquisition through Inference Set Design
  40. Knowledge Graph Enhanced Language Agents for Recommendation
  41. Toward Generalizable Multiple Sclerosis Lesion Segmentation Models
  42. Shared Control with Black Box Agents using Oracle Queries
  43. Analyzing Neural Network Robustness Using Graph Curvature
  44. Multi-modal Motion Prediction using Temporal Ensembling with Learning-based Aggregation
  45. CoqPilot, a plugin for LLM-based generation of proofs
  46. Microplastic Identification Using AI-Driven Image Segmentation and GAN-Generated Ecological Context
  47. Mask-Weighted Spatial Likelihood Coding for Speaker-Independent Joint Localization and Mask Estimation
  48. MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error Priors
  49. Diverse Sign Language Translation
  50. Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare
  51. FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation
  52. Prediction of microstructural representativity from a single image
  53. How Critical is Site-Specific RAN Optimization? 5G Open-RAN Uplink Air Interface Performance Test and Optimization from Macro-Cell CIR Data
  54. Neuromorphic IoT Architecture for Efficient Water Management: A Smart Village Case Study
  55. Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning
  56. On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes
  57. DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks
  58. Mirror Matrix on the Wall: coding and vector notation as tools for introspection
  59. Privacy-Preserving Federated Learning via Dataset Distillation
  60. PMM-Net: Single-stage Multi-agent Trajectory Prediction with Patching-based Embedding and Explicit Modal Modulation
  61. Brain-like Functional Organization within Large Language Models
  62. CloserMusicDB: A Modern Multipurpose Dataset of High Quality Music
  63. Detection of Emerging Infectious Diseases in Lung CT based on Spatial Anomaly Patterns
  64. Detection of Human and Machine-Authored Fake News in Urdu
  65. Parametric Nonlinear Volterra Series via Machine Learning: Transonic Aerodynamics
  66. Marked Temporal Bayesian Flow Point Processes
  67. Introducing MAPO: Momentum-Aided Gradient Descent Prompt Optimization
  68. A neural network approach for solving the Monge-Amp`ere equation with transport boundary condition
  69. Conditional Hallucinations for Image Compression
  70. TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
  71. MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset
  72. x-RAGE: eXtended Reality -- Action & Gesture Events Dataset
  73. A Debate-Driven Experiment on LLM Hallucinations and Accuracy
  74. Content-Aware Radiance Fields: Aligning Model Complexity with Scene Intricacy Through Learned Bitwidth Quantization
  75. Measuring memorization in language models via probabilistic extraction
  76. Peter Parker or Spiderman? Disambiguating Multiple Class Labels
  77. Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization
  78. Unified Causality Analysis Based on the Degrees of Freedom
  79. LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data
  80. Accelerating AI Performance using Anderson Extrapolation on GPUs
  81. Evaluation of strategies for efficient rate-distortion NeRF streaming
  82. Computational Bottlenecks of Training Small-scale Large Language Models
  83. ShifCon: Enhancing Non-Dominant Language Capabilities with a Shift-based Multilingual Contrastive Framework
  84. Intelligent Understanding of Large Language Models in Traditional Chinese Medicine Based on Prompt Engineering Framework
  85. Gradient Descent Efficiency Index
  86. Fusion-then-Distillation: Toward Cross-modal Positive Distillation for Domain Adaptive 3D Semantic Segmentation
  87. Balancing the Scales: Enhancing Fairness in Facial Expression Recognition with Latent Alignment
  88. Transductive Learning for Near-Duplicate Image Detection in Scanned Photo Collections
  89. On the Application of Deep Learning for Precise Indoor Positioning in 6G
  90. Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models
  91. Analyzing Generative Models by Manifold Entropic Metrics
  92. Paint Bucket Colorization Using Anime Character Color Design Sheets
  93. KAHANI: Culturally-Nuanced Visual Storytelling Tool for Non-Western Cultures
  94. Integration of Communication and Computational Imaging
  95. Robust Time Series Causal Discovery for Agent-Based Model Validation
  96. An Auditing Test To Detect Behavioral Shift in Language Models
  97. Analysis of Financial Risk Behavior Prediction Using Deep Learning and Big Data Algorithms
  98. CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimation
  99. Learning Neural Strategy-Proof Matching Mechanism from Examples
  100. Unified Cross-Modal Medical Image Synthesis with Hierarchical Mixture of Product-of-Experts
  101. COMSPLIT: A Communication-Aware Split Learning Design for Heterogeneous IoT Platforms
  102. Toward Finding Strong Pareto Optimal Policies in Multi-Agent Reinforcement Learning
  103. Noise-Aware Differentially Private Variational Inference
  104. Notes on the Mathematical Structure of GPT LLM Architectures
  105. BitPipe: Bidirectional Interleaved Pipeline Parallelism for Accelerating Large Models Training
  106. Capsule Endoscopy Multi-classification via Gated Attention and Wavelet Transformations
  107. Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization
  108. LArctan-SKAN: Simple and Efficient Single-Parameterized Kolmogorov-Arnold Networks using Learnable Trigonometric Function
  109. FeBiM: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-Memory Computing
  110. Interleaving Text and Number Embeddings to Solve Mathemathics Problems
  111. Interpreting Neural Networks through Mahalanobis Distance
  112. pEBR: A Probabilistic Approach to Embedding Based Retrieval
  113. Context-Based Visual-Language Place Recognition
  114. DECADE: Towards Designing Efficient-yet-Accurate Distance Estimation Modules for Collision Avoidance in Mobile Advanced Driver Assistance Systems
  115. Beyond Point Annotation: A Weakly Supervised Network Guided by Multi-Level Labels Generated from Four-Point Annotation for Thyroid Nodule Segmentation in Ultrasound Image
  116. Double Difference Earthquake Location with Graph Neural Networks
  117. Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
  118. Fully First-Order Methods for Decentralized Bilevel Optimization
  119. Two are better than one: Context window extension with multi-grained self-injection
  120. FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs
  121. Brain-like Variational Inference
  122. Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
  123. COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training
  124. Semantics in Robotics: Environmental Data Can't Yield Conventions of Human Behaviour
  125. Semi-supervised Chinese Poem-to-Painting Generation via Cycle-consistent Adversarial Networks
  126. TEARS: Textual Representations for Scrutable Recommendations
  127. Any Other Thoughts, Hedgehog? Linking Deliberation Chains in Collaborative Dialogues
  128. Golden Ratio-Based Sufficient Dimension Reduction
  129. A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images
  130. ST-NeRP: Spatial-Temporal Neural Representation Learning with Prior Embedding for Patient-specific Imaging Study
  131. UbiHR: Resource-efficient Long-range Heart Rate Sensing on Ubiquitous Devices
  132. Neuralink: Fast LLM Inference on Smartphones with Neuron Co-Activation Linking
  133. Coordinated Reply Attacks in Influence Operations: Characterization and Detection
  134. A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
  135. Autonomous Building Cyber-Physical Systems Using Decentralized Autonomous Organizations, Digital Twins, and Large Language Model
  136. Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction
  137. Have LLMs Reopened the Pandora's Box of AI-Generated Fake News?
  138. CHESTNUT: A QoS Dataset for Mobile Edge Environments
  139. Non-rigid Relative Placement through 3D Dense Diffusion
  140. Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models
  141. Prompting Continual Person Search
  142. SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries
  143. Developing a Tutoring Dialog Dataset to Optimize LLMs for Educational Use
  144. Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors
  145. Integrating Large Language Models with Internet of Things Applications
  146. Peptide-GPT: Generative Design of Peptides using Generative Pre-trained Transformers and Bio-informatic Supervision
  147. Robot Behavior Personalization from Sparse User Feedback
  148. Taxonomy-guided Semantic Indexing for Academic Paper Search