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2. Benchmarking Large Language Models: Opportunities and Challenges

3. Inference with Transformer Encoders on ARM and RISC-V Multicore Processors

4. Strategic Reparameterization for Enhanced Inference in Imperfect Information Games: A Neural Network Approach

6. Whether Large Language Models Learn at the Inference Stage? Effects of Active Learning and Labelling with LLMs on their Reasoning

9. Can We Infer Move Sequences in Go from Stone Arrangements?

10. Application of Binary Petri Nets to Knowledge Representation and Inference

11. Defending AirType Against Inference Attacks Using 3D In-Air Keyboard Layouts: Design and Evaluation

12. Logic in Genetic Epistemology

13. Ontology-Based Construction Process Library for Process States Inference

16. A Knowledge Rich Task Planning Framework for Human-Robot Collaboration

17. Inference in Probabilistic Answer Set Programming Under the Credal Semantics

23. E-Learning on Semantic Web

24. The Digital Twin to Train a Neural Network Detecting Headlamps Failure of Motor Vehicles

25. Compositionality in Context

26. Optimization of the Computer Vision System for the Detection of Moving Objects

27. Minimizing Peak Memory Footprint of Inference on IoTs Devices by Efficient Recomputation

28. -Justifications for Logically Complex Sentences

33. Productive Inference of Convolutional Neural Networks Using Filter Pruning Framework

34. Inferentialism: A Manifesto

38. Biostatistics

40. Bringing Explainability to Model Deployment Pipeline in Deep Learning Workbench

47. Charvaka (Cārvāka)

48. Hume, David (1711–1776)

49. Grammar Is Not a Mechanism (Wittgenstein): What Could an Anthropology of Mathematics Do?

50. Inference in Nineteenth-Century British Logic

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