The Fairness Collapse Phenomenon: Bias Amplification in Language Models Trained on Synthetic Data Paper • 2608.04268 • Published Aug 4
Debias-SparseGPT: Bias-Aware Pruning for Large Language Models Paper • 2609.02496 • Published 3 days ago • 2
Debias-SparseGPT: Bias-Aware Pruning for Large Language Models Paper • 2609.02496 • Published 3 days ago • 2
Are You Sure You're Sure? On the Impact of Instruction Tuning on Confidence and Lexical Diversity Paper • 2608.13430 • Published 23 days ago • 13
Are You Sure You're Sure? On the Impact of Instruction Tuning on Confidence and Lexical Diversity Paper • 2608.13430 • Published 23 days ago • 13
Extending the Massive Text Embedding Benchmark to French Paper • 2405.20468 • Published May 30, 2024 • 2
MMTEB: Massive Multilingual Text Embedding Benchmark Paper • 2502.13595 • Published Feb 19, 2025 • 50
Fair-GPTQ: Bias-Aware Quantization for Large Language Models Paper • 2509.15206 • Published Sep 18, 2025 • 1
HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech Detection Paper • 2511.06391 • Published Apr 5 • 1
RILEC: Detection and Generation of L1 Russian Interference Errors in English Learner Texts Paper • 2603.07366 • Published Mar 7
FocusAgent: Simple Yet Effective Ways of Trimming the Large Context of Web Agents Paper • 2510.03204 • Published Oct 3, 2025 • 7
LineRetriever: Planning-Aware Observation Reduction for Web Agents Paper • 2507.00210 • Published Jun 30, 2025 • 6
Maintaining MTEB: Towards Long Term Usability and Reproducibility of Embedding Benchmarks Paper • 2506.21182 • Published Jun 26, 2025 • 3
MTEB-French Collection A collection of datasets used for the French sentence embedding benchmark. • 6 items • Updated Apr 17, 2025 • 1