5 citations · 6 across the 4 of their papers we have counts for
7 papers
Generating Edit-Inducing Questions for AI Research Manuscripts
Sebastian Joseph, Zichao Wang, Jennifer Healey +3
We study the ability of LLMs to generate edit-inducing questions whose answer will improve a paper draft. On a dataset of paired submission and camera-ready papers from ICLR and Ne…
VESTA: Visual Exploration with Statistical Tool Agents
William Rudman, Abhishek Divekar, Kanishk Jain +6
Fitting quantitative models to data is a central step in scientific workflows, yet it remains one of the least automated. Recent agent-based systems leverage language and vision-la…
LinkNav: Surfacing Interconnected Information in Scientific Articles
Sebastian Joseph, Jennifer Healey, Junyi Jessy Li +1
We present LinkNav, an enhanced experience for reading academic papers which makes explicit connections between related but non-adjacent passages. To create the experience, we inst…
AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot
Joydeep Biswas, Sheila Schoepp, Gautham Vasan +10
Scientific peer review faces mounting strain as submission volumes surge, making it increasingly difficult to sustain review quality, consistency, and timeliness. Recent advances i…
Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine
Sebastian Joseph, Lily Chen, Barry Wei +6
Technological progress has led to concrete advancements in tasks that were regarded as challenging, such as automatic fact-checking. Interest in adopting these systems for public h…
AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy
Sebastian Antony Joseph, Syed Murtaza Husain, Stella S. R. Offner +7
Large Language Models (LLMs) are being explored for applications in scientific research, including their capabilities to synthesize literature, answer research questions, generate…
FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence
Sebastian Antony Joseph, Lily Chen, Jan Trienes +5
Plain language summarization with LLMs can be useful for improving textual accessibility of technical content. But how factual are these summaries in a high-stakes domain like medi…