| QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning | Feb 3, 2025 | Data ValuationLanguage Modeling | CodeCode Available | 0 | 5 |
| Probing then Editing Response Personality of Large Language Models | Apr 14, 2025 | MMLU | CodeCode Available | 0 | 5 |
| Post-Hoc Reversal: Are We Selecting Models Prematurely? | Apr 11, 2024 | Language ModellingMMLU | CodeCode Available | 0 | 5 |
| OpenGrok: Enhancing SNS Data Processing with Distilled Knowledge and Mask-like Mechanisms | Feb 11, 2025 | Knowledge DistillationMMLU | CodeCode Available | 0 | 5 |
| ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study | Dec 19, 2024 | AstronomyDomain Adaptation | CodeCode Available | 0 | 5 |
| Explain-Query-Test: Self-Evaluating LLMs Via Explanation and Comprehension Discrepancy | Jan 20, 2025 | MMLU | CodeCode Available | 0 | 5 |
| Evaluation of Large Language Models via Coupled Token Generation | Feb 3, 2025 | ChatbotLarge Language Model | CodeCode Available | 0 | 5 |
| Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models | Dec 2, 2024 | MMLUMultiple-choice | CodeCode Available | 0 | 5 |
| Inconsistencies in Masked Language Models | Dec 30, 2022 | LAMBADAMMLU | CodeCode Available | 0 | 5 |
| CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions | Oct 4, 2024 | Instruction FollowingMMLU | CodeCode Available | 0 | 5 |
