| LLMSTEP: LLM proofstep suggestions in Lean | Oct 27, 2023 | CPUGPU | CodeCode Available | 1 | 5 |
| LLMThinkBench: Towards Basic Math Reasoning and Overthinking in Large Language Models | Jul 5, 2025 | BenchmarkingGPU | CodeCode Available | 1 | 5 |
| BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing | Jan 7, 2022 | Data CompressionGPU | CodeCode Available | 1 | 5 |
| Efficient Classification of Very Large Images with Tiny Objects | Jun 4, 2021 | ClassificationGPU | CodeCode Available | 1 | 5 |
| A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking | Oct 14, 2022 | BenchmarkingGPU | CodeCode Available | 1 | 5 |
| MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning | May 19, 2025 | GPU | CodeCode Available | 1 | 5 |
| Nature-Inspired Population-Based Evolution of Large Language Models | Mar 3, 2025 | GPUZero-shot Generalization | CodeCode Available | 1 | 5 |
| ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization | Nov 22, 2023 | GPULanguage Modelling | CodeCode Available | 1 | 5 |
| Efficient fine-tuning of 37-level GraphCast with the Canadian global deterministic analysis | Aug 26, 2024 | GPU | CodeCode Available | 1 | 5 |
| Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph | Dec 11, 2021 | Document-level Event ExtractionEvent Extraction | CodeCode Available | 1 | 5 |
