49 citations · 67 across the 12 of their papers we have counts for
13 papers
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431
In this report, we introduce the Gemini 2.X model family: Gemini 2.5 Pro and Gemini 2.5 Flash, as well as our earlier Gemini 2.0 Flash and Flash-Lite models. Gemini 2.5 Pro is our…
SEMQA: Semi-Extractive Multi-Source Question Answering
Tal Schuster, Adam D. Lelkes, Haitian Sun +4
Recently proposed long-form question answering (QA) systems, supported by large language models (LLMs), have shown promising capabilities. Yet, attributing and verifying their gene…
SDOH-NLI: a Dataset for Inferring Social Determinants of Health from Clinical Notes
Adam D. Lelkes, Eric Loreaux, Tal Schuster +2
Social and behavioral determinants of health (SDOH) play a significant role in shaping health outcomes, and extracting these determinants from clinical notes is a first step to hel…
How Does Generative Retrieval Scale to Millions of Passages?
Ronak Pradeep, Kai Hui, Jai Gupta +5
Popularized by the Differentiable Search Index, the emerging paradigm of generative retrieval re-frames the classic information retrieval problem into a sequence-to-sequence modeli…
Instability in clinical risk stratification models using deep learning
Daniel Lopez-Martinez, Alex Yakubovich, Martin Seneviratne +9
While it has been well known in the ML community that deep learning models suffer from instability, the consequences for healthcare deployments are under characterised. We study th…
All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass
Jiaxin Huang, Tianqi Liu, Jialu Liu +3
Multi-Task Learning (MTL) models have shown their robustness, effectiveness, and efficiency for transferring learned knowledge across tasks. In real industrial applications such as…
AgreeSum: Agreement-Oriented Multi-Document Summarization
Richard Yuanzhe Pang, Adam D. Lelkes, Vinh Q. Tran +1
We aim to renew interest in a particular multi-document summarization (MDS) task which we call AgreeSum: agreement-oriented multi-document summarization. Given a cluster of article…
Quiz-Style Question Generation for News Stories
Adam D. Lelkes, Vinh Q. Tran, Cong Yu
A large majority of American adults get at least some of their news from the Internet. Even though many online news products have the goal of informing their users about the news,…
Investigating Rumor News Using Agreement-Aware Search
Jingbo Shang, Tianhang Sun, Jiaming Shen +6
Recent years have witnessed a widespread increase of rumor news generated by humans and machines. Therefore, tools for investigating rumor news have become an urgent necessity. One…
A Confidence-Based Approach for Balancing Fairness and Accuracy
Benjamin Fish, Jeremy Kun, Ádám D. Lelkes
We study three classical machine learning algorithms in the context of algorithmic fairness: adaptive boosting, support vector machines, and logistic regression. Our goal is to mai…
Network installation and recovery: approximation lower bounds and faster exact formulations
Alexander Gutfraind, Jeremy Kun, Ádám D. Lelkes +1
We study the Neighbor Aided Network Installation Problem (NANIP) introduced previously which asks for a minimal cost ordering of the vertices of a graph, where the cost of visiting…
On the Computational Complexity of MapReduce
Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes +2
In this paper we study MapReduce computations from a complexity-theoretic perspective. First, we formulate a uniform version of the MRC model of Karloff et al. (2010). We then show…
Biclique coverings, rectifier networks and the cost of -removal
Szabolcs Iván, Ádám Dániel Lelkes, Judit Nagy-György +2
We relate two complexity notions of bipartite graphs: the minimal weight biclique covering number and the minimal rectifier network size of a b…