Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series Paper • 2401.03955 • Published Jan 8, 2024 • 7
Advancing Single- and Multi-task Text Classification through Large Language Model Fine-tuning Paper • 2412.08587 • Published Dec 11, 2024 • 1
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning Paper • 2409.13275 • Published Sep 20, 2024 • 1
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking Paper • 2501.04519 • Published 7 days ago • 218
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator Paper • 2312.04474 • Published Dec 7, 2023 • 30
MobileLLM Collection Optimizing Sub-billion Parameter Language Models for On-Device Use Cases (ICML 2024) https://arxiv.org/abs/2402.14905 • 9 items • Updated Nov 27, 2024 • 102
indic-evals Collection Translated versions of popular LLM benchmarks. • 4 items • Updated Oct 23, 2024 • 2
Writing in the Margins: Better Inference Pattern for Long Context Retrieval Paper • 2408.14906 • Published Aug 27, 2024 • 139
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation Paper • 2409.12941 • Published Sep 19, 2024 • 23
Training Language Models to Self-Correct via Reinforcement Learning Paper • 2409.12917 • Published Sep 19, 2024 • 136
Patched RTC: evaluating LLMs for diverse software development tasks Paper • 2407.16557 • Published Jul 23, 2024 • 1
Evaluating Pre-trained Language Models for Repairing API Misuses Paper • 2310.16390 • Published Oct 25, 2023 • 1
Patched MOA: optimizing inference for diverse software development tasks Paper • 2407.18521 • Published Jul 26, 2024 • 1