Margo Schlanger — accepted AI-conference papers

2026

ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists

Jie Ruan, Inderjeet Jayakumar Nair, Shuyang Cao, Amy Liu, Sheza Munir, Micah Pollens-Dempsey +11

ICLR 2026poster

This paper introduces ExpertLongBench, an expert-level benchmark containing 11 tasks from 9 domains that reflect realistic expert workflows and applications. Beyond question answering, the application-driven tasks in ExpertLongBench demand long-form outputs that can exceed 5,000 tokens and strict ad…

Cited by 0 Source ↗Scholar ↗

2022

Multi-LexSum: Real-world Summaries of Civil Rights Lawsuits at Multiple Granularities

Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, Doug Downey

NeurIPS 2022accept

With the advent of large language models, methods for abstractive summarization have made great strides, creating potential for use in applications to aid knowledge workers processing unwieldy document collections. One such setting is the Civil Rights Litigation Clearinghouse (CRLC, https://clearing…

Cited by 60 Source ↗PDF ↗code ↗Scholar ↗