activity
20232026
most citedCan citations tell us about a paper's reproducibility? A case study of machine learning papers

4 citations · 6 across the 16 of their papers we have counts for

collaborators

14 papers

cs.HC2026

Demonstrably Informed Consent in Privacy Policy Flows: Evidence from a Randomized Experiment

Qian Ma, Aditya Majumdar, Sarah Rajtmajer +1

Privacy policies govern how personal data is collected, used, and shared. Yet, in most privacy-policy consent flows, agreement is operationalized as a single click at the end of a…

cs.CL2026

Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation

Xinyu Wang, Sai Koneru, Wenbo Zhang +3

Recent advances in large language models (LLMs) have enabled the large-scale generation of highly fluent and deceptive news-like content. While prior work has often treated fake ne…

cs.CL2026

Context Selection for Hypothesis and Statistical Evidence Extraction from Full-Text Scientific Articles

Sai Koneru, Jian Wu, Sarah Rajtmajer

Extracting hypotheses and their supporting statistical evidence from full-text scientific articles is central to the synthesis of empirical findings, but remains difficult due to d…

cs.CL2026

Evaluating Evidence Grounding Under User Pressure in Instruction-Tuned Language Models

Sai Koneru, Elphin Joe, Christine Kirchhoff +2

In contested domains, instruction-tuned language models must balance user-alignment pressures against faithfulness to the in-context evidence. To evaluate this tension, we introduc…

cs.CY2026

Beyond Detection: Governing GenAI in Academic Peer Review as a Sociotechnical Challenge

Tatiana Chakravorti, Pranav Narayanan Venkit, Sourojit Ghosh +1

Generative AI tools are increasingly entering academic peer review workflows, raising questions about fairness, accountability, and the legitimacy of evaluative judgment. While the…

cs.HC2026

Learning Password Best Practices Through In-Task Instruction

Qian Ma, Yingfan Zhou, Shubhang Kaushik +6

Users often make security- and privacy-relevant decisions without a clear understanding of the rules that govern safe behavior. We introduce pedagogical friction, a design approach…