Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation Paper • 2409.12941 • Published Sep 19, 2024 • 23
Reformulating Unsupervised Style Transfer as Paraphrase Generation Paper • 2010.05700 • Published Oct 12, 2020
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense Paper • 2303.13408 • Published Mar 23, 2023
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation Paper • 2305.14251 • Published May 23, 2023 • 2
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation Paper • 2112.02721 • Published Dec 6, 2021
RankGen: Improving Text Generation with Large Ranking Models Paper • 2205.09726 • Published May 19, 2022 • 1
Long Document Summarization in a Low Resource Setting using Pretrained Language Models Paper • 2103.00751 • Published Mar 1, 2021
Do Long-Range Language Models Actually Use Long-Range Context? Paper • 2109.09115 • Published Sep 19, 2021
SLING: Sino Linguistic Evaluation of Large Language Models Paper • 2210.11689 • Published Oct 21, 2022
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation Paper • 2407.10817 • Published Jul 15, 2024 • 13
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense Paper • 2303.13408 • Published Mar 23, 2023
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order Paper • 2404.00399 • Published Mar 30, 2024 • 41
FABLES: Evaluating faithfulness and content selection in book-length summarization Paper • 2404.01261 • Published Apr 1, 2024 • 3
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity Paper • 2111.08366 • Published Nov 16, 2021
Editable User Profiles for Controllable Text Recommendation Paper • 2304.04250 • Published Apr 9, 2023
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks Paper • 1901.00032 • Published Dec 31, 2018 • 1
PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers Paper • 2311.09180 • Published Nov 15, 2023 • 7