Abhilasha Ravichander

The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage

arXiv 2025

OLMo: Accelerating the Science of Language Models

arXiv 2024

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

arXiv 2024

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild

arXiv 2024

Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?

arXiv 2024

RESTOR: Knowledge Recovery through Machine Unlearning

arXiv 2024

Agent Lumos: Unified and Modular Training for Open-Source Language Agents

arXiv 2023

What's In My Big Data?

arXiv 2023

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning

arXiv 2023

CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation

arXiv 2022

Question Answering for Privacy Policies: Combining Computational and Legal Perspectives

question-answering-for-privacy-policies

EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference

equate-a-benchmark-evaluation-framework-for-1

Khyathi Chandu

Yejin Choi

professor

Faeze Brahman

researcher

Aakanksha Naik

Akshita Bhagia

Bill Yuchen Lin

researcher

Dirk Groeneveld

Dustin Schwenk

Ian Magnusson

Jesse Dodge