· ai
[Paper] On the Temporality for Sketch Representation Learning
Sketches are simple human hand-drawn abstractions of complex scenes and real-world objects. Although the field of sketch representation learning has advanced si...
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- · ai
[Paper] Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pre-trained Models
Tokenizer adaptation plays an important role in transferring pre-trained language models to new domains or languages. In this work, we address two complementary...
- · ai
[Paper] Is Lying Only Sinful in Islam? Exploring Religious Bias in Multilingual Large Language Models Across Major Religions
While recent developments in large language models have improved bias detection and classification, sensitive subjects like religion still present challenges be...
- · devops
[Paper] OD-MoE: On-Demand Expert Loading for Cacheless Edge-Distributed MoE Inference
Mixture-of-Experts (MoE), while offering significant advantages as a Large Language Model (LLM) architecture, faces substantial challenges when deployed on low-...
- · software
[Paper] Tunable Automation in Automated Program Verification
Automated verification tools based on SMT solvers have made significant progress in verifying complex software systems. However, these tools face a fundamental ...
- · devops
[Paper] Integrating High Performance In-Memory Data Streaming and In-Situ Visualization in Hybrid MPI+OpenMP PIC MC Simulations Towards Exascale
Efficient simulation of complex plasma dynamics is crucial for advancing fusion energy research. Particle-in-Cell (PIC) Monte Carlo (MC) simulations provide ins...
- · ai
[Paper] Parameter efficient hybrid spiking-quantum convolutional neural network with surrogate gradient and quantum data-reupload
The rapid advancement of artificial intelligence (AI) and deep learning (DL) has catalyzed the emergence of several optimization-driven subfields, notably neuro...
- · ai
[Paper] Hybrid Temporal-8-Bit Spike Coding for Spiking Neural Network Surrogate Training
Spiking neural networks (SNNs) have emerged as a promising direction in both computational neuroscience and artificial intelligence, offering advantages such as...
- · ai
[Paper] Reconstructing KV Caches with Cross-layer Fusion For Enhanced Transformers
Transformer decoders have achieved strong results across tasks, but the memory required for the KV cache becomes prohibitive at long sequence lengths. Although ...
- · ai
[Paper] Training and Evaluation of Guideline-Based Medical Reasoning in LLMs
Machine learning for early prediction in medicine has recently shown breakthrough performance, however, the focus on improving prediction accuracy has led to a ...
- · software
[Paper] Runnable Directories: The Solution to the Monorepo vs. Multi-repo Debate
Modern software systems increasingly strain traditional codebase organization strategies. Monorepos offer consistency but often suffer from scalability issues a...
- · devops
[Paper] On the Challenges of Energy-Efficiency Analysis in HPC Systems: Evaluating Synthetic Benchmarks and Gromacs
This paper discusses the challenges encountered when analyzing the energy efficiency of synthetic benchmarks and the Gromacs package on the Fritz and Alex HPC c...