Erin Bransom
Erin Bransom is an AI researcher whose work spans model evaluation, tools for scientific reading and synthesis, and open vision-language models. In 2023, she coauthored LongEval, an EACL Outstanding Paper on long-summary evaluation, and a paper on the Semantic Reader project for interactive research-paper reading. Her 2024 papers explored researcher-specific scientific jargon, LLM-supported literature reviews, and agents that run tasks in research repositories. The 2025 Molmo and PixMo paper introduced an open vision-language model family and PixMo data, and received a CVPR Best Paper Honorable Mention. She is part of Ai2's team as of October 2026.
Timeline
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2023
LongEval and an EACL award
In 2023, she coauthors LongEval, guidelines for evaluating the faithfulness of long-form summaries. It receives an EACL Outstanding Paper award.
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2023
Semantic Reader for research papers
In 2023, she coauthors a paper describing the Semantic Reader Project, a collaboration to create dynamic reading interfaces for research papers.
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2024
Personalized jargon identification
In 2024, she coauthors a study of personalized jargon identification. The work uses more than 10,000 term-familiarity annotations from 11 computer-science researchers, drawn from 100 paper abstracts.
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2024
CHIME for literature reviews
In 2024, she coauthors CHIME, a study of LLM-generated hierarchies for organizing scientific studies in literature reviews. Its dataset contains 2,174 LLM-generated hierarchies across 472 topics.
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2024
SUPER agent benchmark
In 2024, she coauthors SUPER, a benchmark for testing whether LLMs can set up and run tasks from research repositories. The benchmark includes 45 end-to-end problems with annotated expert solutions.
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2025
Molmo and PixMo
In 2025, she coauthors Molmo and PixMo, an open family of vision-language models with PixMo datasets for image captions, image question answering, and 2D pointing. The paper receives a CVPR Best Paper Honorable Mention.
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As of October 2026
Ai2 team member
As of October 2026, she is part of Ai2's team.
Sources and credits
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- LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization - ACL Anthology
- The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces
- Personalized Jargon Identification for Enhanced Interdisciplinary Communication - PMC
- CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support - ACL Anthology
- SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories - ACL Anthology
- Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
- CVPR 2025 Best Papers and Best Demos
- Team Directory | Ai2