Tuned Lens Collection Models fine-tuned by minimizing KL between each layer and the final unembedding matrix • 3 items • Updated 14 days ago
Tuned Lens Collection Models fine-tuned by minimizing KL between each layer and the final unembedding matrix • 3 items • Updated 14 days ago
QueryExplorer: An Interactive Query Generation Assistant for Search and Exploration Paper • 2403.15667 • Published Mar 23
DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query Generation Paper • 2404.02489 • Published Apr 3
Generative Query Reformulation Using Ensemble Prompting, Document Fusion, and Relevance Feedback Paper • 2405.17658 • Published May 27
NusaCrowd: Open Source Initiative for Indonesian NLP Resources Paper • 2212.09648 • Published Dec 19, 2022
Chatting with Logs: An exploratory study on Finetuning LLMs for LogQL Paper • 2412.03612 • Published 22 days ago
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code Paper • 2206.11249 • Published Jun 22, 2022
Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries Paper • 2012.01873 • Published Dec 3, 2020
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Paper • 2206.04615 • Published Jun 9, 2022 • 5
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Paper • 2102.01672 • Published Feb 2, 2021
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation Paper • 2112.02721 • Published Dec 6, 2021