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Vidushee Vats

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#machine learning Preprint Oct 2026

AgentTune: A Unified Training Lifecycle for Tool-Using LLM Agents

Tool-using agents increasingly require a common substrate for building, training, evaluating, distilling, and maintaining agentic systems, yet existing tooling typically addresses these stages in isolation. We present AgentTune, a source-available Python library that provides a unified framework for developing and opti...

R E Zera Marveen Lyngkhoi, Abhivansh Gupta, Vidushee Vats et al. · 0 citations
#artificial intelligence Preprint Sep 2026

SlideLab: Audience-Centered Scientific Slide Generation and Evaluation

Scientific presentations are more than summaries of research papers. They need to present the work in a coherent sequence, explain the main ideas clearly, and help the audience follow the presentation. We present SlideLab, a training-free multi-agent framework for generating scientific presentations from research paper...

Vidushee Vats, Karun Sharma, Yu-Xia Wang · 0 citations
#artificial intelligence Review Sep 2026

AppliedScientist: Automated Scientific Revision Through Iterative AI Reviewing

AppliedScientist is presented, a closed-loop system that couples an autonomous AI scientist with an AI reviewer, and is evaluated by iteratively revising rejected papers from a range of research subfields, suggesting that iterative revision is effective at improving experiments and implementation, but rarely changes co...

Vidushee Vats, Karun Sharma, Sheng-Zhi Li et al. · 0 citations

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