--- title: "Akshara Prabhakar · Salesforce — author profile and papers" description: "Akshara Prabhakar, Salesforce: 4 papers on Elamur Research (2023–2025), h-index 3 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/akshara-prabhakar/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/akshara-prabhakar/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Akshara Prabhakar # Akshara Prabhakar Akshara Prabhakar has 4 papers in our library, in 2023–2025, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Alexander Wettig](https://md.research.elamur.ai/free/en/authors/alexander-wettig/), [Alexis Chevalier](https://md.research.elamur.ai/free/en/authors/alexis-chevalier/), [Caiming Xiong](https://md.research.elamur.ai/free/en/authors/caiming-xiong/). 4 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5042929220) · [ORCID](https://orcid.org/0009-0001-7274-8734) · [**h-index 3**](https://openalex.org/authors/A5042929220) · [15 works](https://openalex.org/works?filter=author.id:A5042929220) · [35 citations](https://openalex.org/works?filter=author.id:A5042929220&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/akshara-prabhakar/#papers) · [🔗 Cited 153 times in our library](https://md.research.elamur.ai/free/en/authors/akshara-prabhakar/cited-by/) · [⭐ Paper Stars ranking: #5764](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5764) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Akshara+Prabhakar) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Akshara+Prabhakar) · [dblp](https://dblp.org/search?q=Akshara+Prabhakar) · [ACL Anthology](https://aclanthology.org/search/?q=Akshara+Prabhakar) ## Affiliations [🏢**Salesforce** San Francisco · United States 2024–2025 · 8 papers*current*](https://md.research.elamur.ai/free/en/companies/salesforce/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/akshara-prabhakar/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/akshara-prabhakar/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/akshara-prabhakar/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback](https://md.research.elamur.ai/free/en/papers/yang-2023-intercode-standardizing-benchmarking-interactive-coding/)** *(2023 · 95 citations)* Most code-generation benchmarks treat programming as a one-shot translation from a natural-language request to a program. 2. **[APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay](https://md.research.elamur.ai/free/en/papers/prabhakar-2025-apigen-mt-agentic-pipeline-multi/)** *(2025 · 36 citations)* Building capable multi-turn AI agents requires training data that captures realistic exchanges between humans and agents. 3. **[CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments](https://md.research.elamur.ai/free/en/papers/huang-2025-crmarena-understanding-capacity-llm-agents/)** *(2025 · 30 citations)* Testing LLM agents on real enterprise work is hard. Company CRM data is private, and existing work benchmarks such as WorkArena, WorkBench and Tau-Bench use simple data structures and easy tasks. The authors built CRMArena, a benchmark set inside a real Salesforce organization. With help from CRM practitioners, they… 4. **[Language Models as Science Tutors](https://md.research.elamur.ai/free/en/papers/chevalier-2024-language-models-science-tutors/)** *(2024 · 30 citations)* Most evaluations of scientific language models only check final answers to short problems. That says little about whether a model can help a student working through a long textbook chapter. To measure this, the authors built TutorEval: 834 questions written by 17 STEM researchers with teaching experience, tied to 202… ## Co-authors here 12 of 21 co-authors with a page, the most papers together first. - [Alexander Wettig](https://md.research.elamur.ai/free/en/authors/alexander-wettig/) - [Alexis Chevalier](https://md.research.elamur.ai/free/en/authors/alexis-chevalier/) - [Caiming Xiong](https://md.research.elamur.ai/free/en/authors/caiming-xiong/) - [Chien-Sheng Wu](https://md.research.elamur.ai/free/en/authors/chien-sheng-wu/) - [Howard Chen](https://md.research.elamur.ai/free/en/authors/howard-chen/) - [Huan Wang](https://md.research.elamur.ai/free/en/authors/huan-wang/) - [Jianguo Zhang](https://md.research.elamur.ai/free/en/authors/jianguo-zhang/) - [John Yang](https://md.research.elamur.ai/free/en/authors/john-yang/) - [Juan Carlos Niebles](https://md.research.elamur.ai/free/en/authors/juan-carlos-niebles/) - [Karthik Narasimhan](https://md.research.elamur.ai/free/en/authors/karthik-narasimhan/) - [Ming Zhu](https://md.research.elamur.ai/free/en/authors/ming-zhu/) - [Philippe Laban](https://md.research.elamur.ai/free/en/authors/philippe-laban/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) ×2: [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/), [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/) ## Cited by Papers of our library cite their works 153 times (of the 149,439 papers whose bibliographies we read); [39 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/akshara-prabhakar/cited-by/). Updated 30 October 2026