🧑‍🔬 Olga Golovneva

🏛️ Affiliations

🏢AmazonSeattle · United States2020–2022 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning (2022 · 149 citations)
   Language models that write out their reasoning before answering often do better on downstream tasks. However, there has been no dependable automatic way to check whether the intermediate steps are actually sound, separately from whether the final answer is right. Golovneva et al. (Meta AI Research) address this gap…
2. Self-Taught Evaluators (2024 · 72 citations)
   Training model-based evaluators usually depends on large sets of human preference judgments. These are expensive to collect, especially for expert domains such as coding or math, and they lose value as newer models produce better responses. The Meta FAIR authors propose the Self-Taught Evaluator, which trains an…
3. Shepherd: A Critic for Language Model Generation (2023 · 59 citations)
   Shepherd tackles the problem of automatically critiquing text produced by large language models, which still often generate false or incoherent answers.

All works

6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. ROSCOE: A Suite of Metrics for Scoring Step-by-Step ReasoningarXiv:2212.07919Olga Golovneva, Moya Chen, Spencer Poff, et al.2022 · 149 citations
2. Self-Taught EvaluatorsarXiv:2408.02666Tianlu Wang, Ilia Kulikov, Olga Golovneva, et al.2024 · 72 citations
3. Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-JudgeProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yetTianhao Wu et al.2025 · 59 citations
4. Shepherd: A Critic for Language Model GenerationarXiv:2308.04592Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, et al.2023 · 59 citations
5. Efficient Tool Use with Chain-of-Abstraction ReasoningProceedings of the 31st International Conference on Computational Linguistics · original ↗ · no summary yetSilin Gao et al.2025 · 13 citations
6. Cross-lingual transfer for low-resource Arabic language understandingProceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP) · original ↗ · no summary yetKhadige Abboud, Olga Golovneva, Christopher DiPersio2022 · 8 citations

🤝 Co-authors here

12 of 16 co-authors with a page, the most papers together first.

• Maryam Fazel-Zarandi ×3
• Asli Celikyilmaz ×2
• Jane Dwivedi-Yu ×2
• Luke Zettlemoyer ×2
• Ping Yu ×2
• Tianlu Wang ×2
• Ilia Kulikov
• Jason Weston
• Moya Chen
• Ramakanth Pasunuru
• Richard Yuanzhe Pang
• Sean O'Brien

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
• Proceedings of the 31st International Conference on Computational Linguistics
• Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)

🔗 Cited by

Papers of our library cite their works 307 times (of the 141,840 papers whose bibliographies we read); 32 citing papers with a page here →.

Updated 24 October 2026

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