4 citations · 7 across the 10 of their papers we have counts for
13 papers
Training-Free Prompt Selection for Efficient Reinforcement Learning With Partial Rollouts
Lei Jiang, Honghui Bao, Yue Zhou +3
Reinforcement learning with verifiable rewards (RLVR) has emerged as a prominent paradigm for training reasoning models, but its computational cost makes efficient data selection i…
A Bayesian Correlated Equilibrium for Early Insider-Threat Detection
Javed M. Shah, Ian A. Kash, Natalie Parde
We model insider threat detection as a dynamic Bayesian game in which a platform coordinates a committee of strategic certifiers to sustain equilibrium among honest users and detec…
Behind the [MASK]: Disentangling Representation and Faithfulness in DAPF-Based Dementia Detection
Pardis Ranjbar-Noiey, Natalie Parde
Spoken-language analysis via prompt-based domain-adaptive models is a promising direction for low-resource, non-invasive dementia screening, but such models remain internally opaqu…
UIC-AIHealth4All at ArchEHR-QA 2026: Answer-First Evidence Grounding for Clinical Question Answering
Mohammad Arvan, Hossein Haeri, Natalie Parde +1
We describe the UIC-AIHealth4All system for ArchEHR-QA 2026, a shared task on grounded question answering from electronic health records. We participated in Subtasks 2 (evidence id…
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community
Casey Kennington, Malihe Alikhani, Heather Pon-Barry +20
The ability to interact with machines using natural human language is becoming not just commonplace, but expected. The next step is not just text interfaces, but speech interfaces…
Investigating Reproducibility at Interspeech Conferences: A Longitudinal and Comparative Perspective
Mohammad Arvan, A. Seza Doğruöz, Natalie Parde
Reproducibility is a key aspect for scientific advancement across disciplines, and reducing barriers for open science is a focus area for the theme of Interspeech 2023. Availabilit…