🧑‍🔬 Shelby Heinecke

🏛️ Affiliations

🏢SalesforceSan Francisco · United States2020–2026 · 46 paperscurrent🎓University of Illinois ChicagoChicago · United States2018–2023 · 4 papers🎓Columbia UniversityNew York · United States2023–2024 · 3 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. xLAM: A Family of Large Action Models to Empower AI Agent Systems (2025 · 68 citations)
   Open-source LLMs lag behind proprietary systems on agent tasks such as tool use. A major cause is that public agent datasets are scarce, inconsistent in format, homogeneous in content, and often noisy, with problems like hallucinated actions or repeated turns. The authors (Salesforce AI) release xLAM, a family of…
2. 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.
3. DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI (2023 · 21 citations)
   Conversational models often struggle across varied dialogue tasks because training data is fragmented, small, task-specific and stored in inconsistent formats.

All works

5 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. xLAM: A Family of Large Action Models to Empower AI Agent SystemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jianguo Zhang, Tian Lan, Ming Zhu, et al.2025 · 68 citations
2. BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents ↗arXiv:2308.05960 · no summary yetZhiwei Liu et al.2023 · 51 citations
3. APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human InterplayConference on Neural Information Processing Systems (NeurIPS)Akshara Prabhakar, Zuxin Liu, Ming Zhu, et al.2025 · 36 citations
4. DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AIFindings of the Association for Computational LinguisticsJianguo Zhang, Kun Qian, Zhiwei Liu, et al.2023 · 21 citations
5. LATTE: Learning to Think with Vision Specialists ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetZixian Ma et al.2025

🤝 Co-authors here

12 of 19 co-authors with a page, the most papers together first.

• Jianguo Zhang ×3
• Zhiwei Liu ×3
• Juan Carlos Niebles ×2
• Ming Zhu ×2
• Thai Hoang ×2
• Weiran Yao ×2
• Zuxin Liu ×2
• Akshara Prabhakar
• Caiming Xiong
• Huan Wang
• Juntao Tan
• Kun Qian

Venues

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

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2025
• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2025
• Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

🔗 Cited by

Papers of our library cite their works 142 times (of the 149,439 papers whose bibliographies we read); 32 citing papers with a page here →.

Updated 30 October 2026

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