Search Results for author: Saadia Gabriel

Found 17 papers, 6 papers with code

Misinfo Reaction Frames: Reasoning about Readers’ Reactions to News Headlines

1 code implementation ACL 2022 Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi

Even to a simple and short news headline, readers react in a multitude of ways: cognitively (e. g. inferring the writer’s intent), emotionally (e. g. feeling distrust), and behaviorally (e. g. sharing the news with their friends).


Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model

no code implementations14 Feb 2024 Salman Rahman, Lavender Yao Jiang, Saadia Gabriel, Yindalon Aphinyanaphongs, Eric Karl Oermann, Rumi Chunara

Overall, this study provides new insights for enhancing the deployment of large language models in the societally important domain of healthcare, and improving their performance for broader populations.

Descriptive Language Modelling +2

Socratis: Are large multimodal models emotionally aware?

no code implementations31 Aug 2023 Katherine Deng, Arijit Ray, Reuben Tan, Saadia Gabriel, Bryan A. Plummer, Kate Saenko

We further see that current captioning metrics based on large vision-language models also fail to correlate with human preferences.

Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

1 code implementation26 Jul 2023 Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, Saadia Gabriel, Hong Yu, James Hendler, Marzyeh Ghassemi, Anind K. Dey, Dakuo Wang

More importantly, our experiments show that instruction finetuning can significantly boost the performance of LLMs for all tasks simultaneously.

Language Modelling

NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?

no code implementations8 Nov 2022 Saadia Gabriel, Hamid Palangi, Yejin Choi

While a substantial body of prior work has explored adversarial example generation for natural language understanding tasks, these examples are often unrealistic and diverge from the real-world data distributions.

Natural Language Understanding text-classification +1

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

1 code implementation ACL 2022 Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar

To help mitigate these issues, we create ToxiGen, a new large-scale and machine-generated dataset of 274k toxic and benign statements about 13 minority groups.

Hate Speech Detection Language Modelling

GO FIGURE: A Meta Evaluation of Factuality in Summarization

no code implementations Findings (ACL) 2021 Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao

While neural language models can generate text with remarkable fluency and coherence, controlling for factual correctness in generation remains an open research question.

Common Sense Reasoning Document Summarization +1

Paragraph-level Commonsense Transformers with Recurrent Memory

1 code implementation4 Oct 2020 Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi

Human understanding of narrative texts requires making commonsense inferences beyond what is stated explicitly in the text.

Sentence World Knowledge

Detecting and Tracking Communal Bird Roosts in Weather Radar Data

no code implementations24 Apr 2020 Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler

The US weather radar archive holds detailed information about biological phenomena in the atmosphere over the last 20 years.

Social Bias Frames: Reasoning about Social and Power Implications of Language

no code implementations ACL 2020 Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi

We introduce Social Bias Frames, a new conceptual formalism that aims to model the pragmatic frames in which people project social biases and stereotypes onto others.

Discourse Understanding and Factual Consistency in Abstractive Summarization

no code implementations EACL 2021 Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi

We introduce a general framework for abstractive summarization with factual consistency and distinct modeling of the narrative flow in an output summary.

Abstractive Text Summarization Sentence

The Risk of Racial Bias in Hate Speech Detection

no code implementations ACL 2019 Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith

We investigate how annotators{'} insensitivity to differences in dialect can lead to racial bias in automatic hate speech detection models, potentially amplifying harm against minority populations.

Hate Speech Detection

MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

no code implementations NAACL 2019 Aida Amini, Saadia Gabriel, Peter Lin, Rik Koncel-Kedziorski, Yejin Choi, Hannaneh Hajishirzi

We introduce a new representation language to model precise operation programs corresponding to each math problem that aim to improve both the performance and the interpretability of the learned models.

Math Math Word Problem Solving

Early Fusion for Goal Directed Robotic Vision

no code implementations21 Nov 2018 Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Misra, Yoav Artzi, Yejin Choi, Dieter Fox

Building perceptual systems for robotics which perform well under tight computational budgets requires novel architectures which rethink the traditional computer vision pipeline.

Imitation Learning Retrieval

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