Akshara Prabhakar
Akshara Prabhakar has 4 papers in our library, in 2023–2025, most of them on Machine translation, Language models & pretraining; often with Alexander Wettig, Alexis Chevalier, Caiming Xiong.
OpenAlex · ORCID · h-index 3 · 15 works · 35 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 153 times in our library · ⭐ Paper Stars ranking: #5764
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Science Applications · 1 workInformation Systems · 1 workSoftware · 1 workComputer Vision and Pattern Recognition · 1 work
🧭 Topics 2Research subjects and languages the work is about.Machine translation · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback (2023 · 95 citations)
Most code-generation benchmarks treat programming as a one-shot translation from a natural-language request to a program. - APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay (2025 · 36 citations)
Building capable multi-turn AI agents requires training data that captures realistic exchanges between humans and agents. - CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments (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… - Language Models as 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
- Alexander Wettig
- Alexis Chevalier
- Caiming Xiong
- Chien-Sheng Wu
- Howard Chen
- Huan Wang
- Jianguo Zhang
- John Yang
- Juan Carlos Niebles
- Karthik Narasimhan
- Ming Zhu
- Philippe Laban
Venues
- Conference on Neural Information Processing Systems (NeurIPS) ×2: NeurIPS 2025, NeurIPS 2023
- Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2025
Cited by
Updated
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