Enhancing Efficiency in Reading Academic Papers with PopAi

With PopAi, reading academic papers becomes more convenient than ever. We invite you to explore a selection of papers that are now more accessible thanks to PopAi's innovative tools. 

1. Explanation-based Belief Revision: Moving Beyond Minimalism to Explanatory Understanding
2. Exploring the impact of traffic signal control and connected and automated vehicles on intersections safety: A deep reinforcement learning approach
3. On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios
4. Promoting Two-sided Fairness in Dynamic Vehicle Routing Problem
5. Learning from Litigation: Graphs and LLMs for Retrieval and Reasoning in eDiscovery
6. Analyzing Chat Protocols of Novice Programmers Solving Introductory Programming Tasks with ChatGPT
7. Patch-enhanced Mask Encoder Prompt Image Generation
8. Large Language Models for Code Summarization
9. Implicit Neural Image Field for Biological Microscopy Image Compression
10. Counterfactual Metarules for Local and Global Recourse
11. Lifelong learning challenges in the era of artificial intelligence: a computational thinking perspective
12. Efficient Stimuli Generation using Reinforcement Learning in Design Verification
13. AI with Alien Content and Alien Metasemantics
14. Learning Task-relevant Sequence Representations via Intrinsic Dynamics Characteristics in Reinforcement Learning
15. Grade Like a Human: Rethinking Automated Assessment with Large Language Models
16. Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback
17. Accurate and Reliable Predictions with Mutual-Transport Ensemble
18. Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning
19. Separation and Collapse of Equilibria Inequalities on AND-OR Trees without Shape Constraints
20. Grammar-Aligned Decoding
21. Standards for Belief Representations in LLMs
22. Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits
23. Navigating Tabular Data Synthesis Research: Understanding User Needs and Tool Capabilities
24. Monte Carlo Tree Search Satellite Scheduling Under Cloud Cover Uncertainty
25. There and Back Again: The AI Alignment Paradox
26. OpenTensor: Reproducing Faster Matrix Multiplication Discovering Algorithms
27. Maximum Temperature Prediction Using Remote Sensing Data Via Convolutional Neural Network
28. Climate Variable Downscaling with Conditional Normalizing Flows
29. A Toolbox for Supporting Research on AI in Water Distribution Networks
30. Tabular and Deep Learning for the Whittle Index
31. Speeding up Policy Simulation in Supply Chain RL
32. From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures
33. Parrot: Multilingual Visual Instruction Tuning
34. Enhancing predictive imaging biomarker discovery through treatment effect analysis
35. RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
36. V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation
37. Guiding a Diffusion Model with a Bad Version of Itself
38. Demystifying the Compression of Mixture-of-Experts Through a Unified Framework
39. CLMASP: Coupling Large Language Models with Answer Set Programming for Robotic Task Planning
40. The Good, the Bad, and the Hulk-like GPT: Analyzing Emotional Decisions of Large Language Models in Cooperation and Bargaining Games
41. Evaluating AI fairness in credit scoring with the BRIO tool
42. Improving Plan Execution Flexibility using Block-Substitution
43. Simplification of Risk Averse POMDPs with Performance Guarantees
44. Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability Objectives
45. Language Models can Infer Action Semantics for Classical Planners from Environment Feedback
46. Predicting AI Agent Behavior through Approximation of the Perron-Frobenius Operator
47. Wings: Learning Multimodal LLMs without Text-only Forgetting
48. Highway Value Iteration Networks
49. Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
50. AI Safety: A Climb To Armageddon?
51. A Robot Walks into a Bar: Can Language Models Serve as Creativity Support Tools for Comedy? An Evaluation of LLMs' Humour Alignment with Comedians
52. Aligning Large Language Models with Representation Editing: A Control Perspective
53. Adaptive Opponent Policy Detection in Multi-Agent MDPs: Real-Time Strategy Switch Identification Using Running Error Estimation
54. A Large Language Model Pipeline for Breast Cancer Oncology
55. Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization
56. On the Utility of Accounting for Human Beliefs about AI Behavior in Human-AI Collaboration
57. Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
58. GKAN: Graph Kolmogorov-Arnold Networks
59. A Survey on LLM-Based Agentic Workflows and LLM-Profiled Components
60. Global Sensitivity Analysis of Uncertain Parameters in Bayesian Networks
61. EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models
62. A Scalable and Near-Optimal Conformance Checking Approach for Long Traces
63. Towards a Benchmark for Causal Business Process Reasoning with LLMs
64. MLLM-SR: Conversational Symbolic Regression base Multi-Modal Large Language Models
65. Exploring the Efficacy of Large Language Models (GPT-4) in Binary Reverse Engineering
66. DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation
67. Language Guided Skill Discovery
68. Building Hybrid B-Spline And Neural Network Operators
69. Reinterpreting 'the Company a Word Keeps': Towards Explainable and Ontologically Grounded Language Models
70. Ameliorate Spurious Correlations in Dataset Condensation
71. Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions
72. Prototypical Reward Network for Data-Efficient RLHF
73. ElicitationGPT: Text Elicitation Mechanisms via Language Models
74. Vertical LoRA: Dense Expectation-Maximization Interpretation of Transformers
75. Towards a Characterisation of Monte-Carlo Tree Search Performance in Different Games
76. Applying Multi-Agent Negotiation to Solve the Production Routing Problem With Privacy Preserving
77. Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model
78. Introducing Brain-like Concepts to Embodied Hand-crafted Dialog Management System
79. A Survey on Compositional Learning of AI Models: Theoretical and Experimetnal Practices
80. Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop
81. 3D Building Generation in Minecraft via Large Language Models
82. VLind-Bench: Measuring Language Priors in Large Vision-Language Models