382 citations · 3.4k across the 65 of their papers we have counts for
68 papers
PersEvalBench: Can LLM Evaluators Judge Contextually Appropriate Use of Persona Information?
Xinyi Liu, Hooshang Nayyeri, Emine Yilmaz +3
Large language model (LLM) evaluators are increasingly used to assess personalized assistants, yet whether they can reliably judge personalization has rarely been tested. We introd…
Hear2Act: Benchmarking When Prosody Should Change What an Assistant Does
Xinyi Liu, Hooshang Nayyeri, Dilek Hakkani-Tur +5
Prosodic cues can carry task-relevant information that words omit, but existing benchmarks rarely test whether it changes downstream decisions. We introduce Hear2Act, a 480-scenari…
Trajectory-Level Redirection Attacks on Vision-Language-Action Models
Gokul Puthumanaillam, Vardhan Dongre, Pranay Thangeda +3
Vision-language-action (VLA) policies bring natural language into closed-loop robot control, enabling robots to execute manipulation tasks directly from text instructions. The same…
Beyond Individual Personas: Aligning Synthetic Dialogue to Population-Level Behavior Distributions
Xinyi Liu, Rinat Khaziev, Hooshang Nayyeri +3
Synthetic dialogue corpora are increasingly used as proxies for target dialogue data, yet persona-grounded generators optimize individual conversations rather than corpus compositi…
Learning to See Sharper: A Physics-Informed Artificial Intelligence Framework for Super-Resolving Galaxy Spectra
Aryana Haghjoo, Shoubaneh Hemmati, Bahram Mobasher +7
The information recoverable from galaxy spectra depends fundamentally on spectral resolution, yet assembling large samples at high resolution remains observationally expensive. We…
Interactive World Simulator for Robot Policy Training and Evaluation
Yixuan Wang, Rhythm Syed, Fangyu Wu +7
Action-conditioned video prediction models (often referred to as world models) have shown strong potential for robotics applications, but existing approaches are often slow and str…
ATOD: An Evaluation Framework and Benchmark for Agentic Task-Oriented Dialogue Systems
Yifei Zhang, Hooshang Nayyeri, Rinat Khaziev +5
Agentic task-oriented dialogue (TOD) requires systems to track concurrent goals, dependencies, and long-horizon state. We examine goal-lifecycle recovery from fixed dialogue trajec…
MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations
Vardhan Dongre, Chi Gui, Shubham Garg +4
We introduce MIRAGE, a new benchmark for multimodal expert-level reasoning and decision-making in consultative interaction settings. Designed for the agriculture domain, MIRAGE cap…
A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards
Shivansh Patel, Xinchen Yin, Wenlong Huang +5
Task specification for robotic manipulation in open-world environments is challenging, requiring flexible and adaptive objectives that align with human intentions and can evolve th…
SPHEREx: NASA's Near-Infrared Spectrophotmetric All-Sky Survey
Brendan P. Crill, Michael Werner, Rachel Akeson +51
SPHEREx, the Spectro-Photometer for the History of the Universe, Epoch of Reionization, and ices Explorer, is a NASA MIDEX mission planned for launch in 2024. SPHEREx will carry ou…
RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation
Hanxiao Jiang, Binghao Huang, Ruihai Wu +5
We introduce the novel task of interactive scene exploration, wherein robots autonomously explore environments and produce an action-conditioned scene graph (ACSG) that captures th…
The Art of Measuring Physical Parameters in Galaxies: A Critical Assessment of Spectral Energy Distribution Fitting Techniques
Camilla Pacifici, Kartheik G. Iyer, Bahram Mobasher +52
The study of galaxy evolution hinges on our ability to interpret multi-wavelength galaxy observations in terms of their physical properties. To do this, we rely on spectral energy…
Deblending Galaxies with Generative Adversarial Networks
Shoubaneh Hemmati, Eric Huff, Hooshang Nayyeri +6
Deep generative models including generative adversarial networks (GANs) are powerful unsupervised tools in learning the distributions of data sets. Building a simple GAN architectu…
Gas Phase Metallicities of Local Ultra-Luminous Infrared Galaxies Follow Normal Star-Forming Galaxies
Nima Chartab, Asantha Cooray, Jingzhe Ma +9
Despite advances in observational data, theoretical models, and computational techniques to simulate key physical processes in the formation and evolution of galaxies, the stellar…
Massive molecular gas reservoir in a luminous sub-millimeter galaxy during cosmic noon
Bin Liu, N. Chartab, H. Nayyeri +11
We present multi-band observations of an extremely dusty star-forming lensed galaxy (HERS1) at . High-resolution maps of \textit{HST}/WFC3, SMA, and ALMA show a partial Ei…
Rise of the Titans: Gas Excitation and Feedback in a Binary Hyper-Luminous Dusty Starburst Galaxy at z~6
Dominik A. Riechers, Hooshang Nayyeri, Denis Burgarella +8
We report new observations toward the hyper-luminous dusty starbursting major merger ADFS-27 (z=5.655), using ATCA and ALMA. We detect CO 2-1, 8-7, 9-8, 10-9 and H2O(321-221) emiss…
Investigating the Effect of Galaxy Interactions on AGN Enhancement at
Ekta A. Shah, Jeyhan S. Kartaltepe, Christina T. Magagnoli +30
Galaxy interactions and mergers are thought to play an important role in the evolution of galaxies. Studies in the nearby universe show a higher AGN fraction in interacting and mer…
Selection of massive evolved galaxies at in the CANDELS fields
Abtin Shahidi, Bahram Mobasher, Hooshang Nayyeri +14
Using the CANDELS photometric catalogs for the HST/ACS and WFC3, we identified massive evolved galaxies at , employing three different selection methods. We find the c…
SCUBA-2 overdensities associated with candidate protoclusters selected from Planck data
T. Cheng, D. L. Clements, J. Greenslade +21
We measure the 850-m source densities of 46 candidate protoclusters selected from the Planck High-z catalogue (PHz) and the Planck Catalogue of Compact Sources (PCCS) that were…
Emergence of an Ultra-Red Ultra-Massive Galaxy Cluster Core at
Arianna S. Long, Asantha Cooray, Jingzhe Ma +6
Recent simulations and observations of massive galaxy cluster evolution predict that the majority of stellar mass build up happens within cluster members by , before cluster v…
Bridging between the integrated and resolved main sequence of star formation
Shoubaneh Hemmati, Bahram Mobasher, Hooshang Nayyeri +6
The position of galaxies on the stellar mass, star formation rate plane with respect to the star-forming main sequence at each redshift is a convenient way to infer where the galax…
Spectroscopic Confirmation of a Coma Cluster Progenitor at z ~ 2.2
Behnam Darvish, Nick Z. Scoville, Christopher Martin +17
We report the spectroscopic confirmation of a new protocluster in the COSMOS field at 2.2, COSMOS Cluster 2.2 (CC2.2), originally identified as an overdensity of narrowb…
Photometric Redshift Estimation with Galaxy Morphology using Self-Organizing Maps
Derek Wilson, Hooshang Nayyeri, Asantha Cooray +1
We use multi-band optical and near-infrared photometric observations of galaxies in the Cosmic Assembly Near-Infrared Deep Extragalactic Legacy Survey (CANDELS) to predict photomet…
Evidence for Non-smooth Quenching in Massive Galaxies at
Timothy Carleton, Yicheng Guo, Hooshang Nayyeri +3
We investigate a large sample of massive galaxies at with combined broad-band and grism observations to constrain the star-formation histories of these systems as th…