740 citations · 3.4k across the 125 of their papers we have counts for
139 papers
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Lakshya A Agrawal, Shangyin Tan, Dilara Soylu +14
Large language models (LLMs) are increasingly adapted to downstream tasks via reinforcement learning (RL) methods like Group Relative Policy Optimization (GRPO), which often requir…
Self-supervised Speech Models for Word-Level Stuttered Speech Detection
Yi-Jen Shih, Zoi Gkalitsiou, Alexandros G. Dimakis +1
Clinical diagnosis of stuttering requires an assessment by a licensed speech-language pathologist. However, this process is time-consuming and requires clinicians with training and…
Which questions should I answer? Salience Prediction of Inquisitive Questions
Yating Wu, Ritika Mangla, Alexandros G. Dimakis +2
Inquisitive questions -- open-ended, curiosity-driven questions people ask as they read -- are an integral part of discourse processing (Kehler and Rohde, 2017; Onea, 2016) and com…
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
Litu Rout, Negin Raoof, Giannis Daras +3
We present the first framework to solve linear inverse problems leveraging pre-trained latent diffusion models. Previously proposed algorithms (such as DPS and DDRM) only apply to…
One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers
Sriram Ravula, Varun Gorti, Bo Deng +7
A key problem when modeling signal integrity for passive filters and interconnects in IC packages is the need for multiple S-parameter measurements within a desired frequency band…
Model-Based Deep Learning
Nir Shlezinger, Yonina C. Eldar
Signal processing traditionally relies on classical statistical modeling techniques. Such model-based methods utilize mathematical formulations that represent the underlying physic…