--- title: "Jonathan Berant — papers, page 2 — Elamur Research" description: "Jonathan Berant, Google: 28 papers on Elamur Research (2011–2025), h-index 45 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/jonathan-berant/page/2/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jonathan-berant/page/2/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Jonathan Berant](https://md.research.elamur.ai/free/en/authors/jonathan-berant/) / page 2 # Jonathan Berant · page 2 28 papers in our library · 2011–2025 · page 2 of 2 [The profile, affiliations and co-authors →](https://md.research.elamur.ai/free/en/authors/jonathan-berant/) ## Papers The most cited first (OpenAlex and our library). [← prev](https://md.research.elamur.ai/free/en/authors/jonathan-berant/) [1](https://md.research.elamur.ai/free/en/authors/jonathan-berant/) **2** 26. **[AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?](https://md.research.elamur.ai/free/en/papers/yoran-2024-assistantbench-can-web-agents-solve/)** *(2024 · 46 citations)* The paper asks whether LM-based web agents can handle realistic, multi-step information-seeking tasks on the open web, such as tracking housing prices or finding a nearby gym with a suitable class schedule. 27. **[Dolomites: Domain-Specific Long-Form Methodical Tasks](https://md.research.elamur.ai/free/en/papers/malaviya-2025-dolomites-domain-specific-long-form/)** *(2025 · 12 citations)* Professionals such as clinicians, lawyers and teachers often produce structured documents (care plans, petitions, lesson plans) by following a fairly fixed routine. 28. **[A Simple Global Neural Discourse Parser](https://md.research.elamur.ai/free/en/papers/zhou-2020-simple-global-neural-discourse-parser/)** *(2020)* The paper addresses document-level discourse parsing in the RST framework. Most existing parsers are greedy and depend on hand-built features or extra resources, because exact global search is expensive: a node's relation and nuclearity labels depend on where its children are split. The authors build a CKY-style… [← prev](https://md.research.elamur.ai/free/en/authors/jonathan-berant/) [1](https://md.research.elamur.ai/free/en/authors/jonathan-berant/) **2**