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06/26/2023
Understanding In-Context Learning via Supportive Pretraining Data
In-context learning (ICL) improves language models' performance on a var...
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05/30/2023
Examining risks of racial biases in NLP tools for child protective services
Although much literature has established the presence of demographic bia...
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05/24/2023
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer
Despite remarkable advancements in few-shot generalization in natural la...
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05/24/2023
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding
Language models (LMs) often struggle to pay enough attention to the inpu...
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05/24/2023
GlobalBench: A Benchmark for Global Progress in Natural Language Processing
Despite the major advances in NLP, significant disparities in NLP system...
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05/23/2023
TalkUp: A Novel Dataset Paving the Way for Understanding Empowering Language
Empowering language is important in many real-world contexts, from educa...
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05/17/2023
Can Language Models Solve Graph Problems in Natural Language?
Large language models (LLMs) are increasingly adopted for a variety of t...
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05/17/2023
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge
Large language models (LLMs) are increasingly adopted for knowledge-inte...
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05/15/2023
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
Large language models (LMs) are pretrained on diverse data sources: news...
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05/14/2023
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge
Evaluating the factual consistency of automatically generated summaries ...
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12/20/2022
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?
Large language models can perform new tasks in a zero-shot fashion, give...
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10/27/2022
Gendered Mental Health Stigma in Masked Language Models
Mental health stigma prevents many individuals from receiving the approp...
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10/22/2022
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling
Abstractive summarization models often generate inconsistent summaries c...
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10/08/2022
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding
With the advent of pre-trained language models (LMs), increasing researc...
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05/25/2022
ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data
Large pretrained language models have been performing increasingly well ...
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05/24/2022
VoynaSlov: A Data Set of Russian Social Media Activity during the 2022 Ukraine-Russia War
In this report, we describe a new data set called VoynaSlov which contai...
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03/16/2022
Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching
Natural language processing (NLP) models trained on people-generated dat...
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03/15/2022
Unsupervised Keyphrase Extraction via Interpretable Neural Networks
Keyphrase extraction aims at automatically extracting a list of "importa...
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10/09/2021
Detecting Community Sensitive Norm Violations in Online Conversations
Online platforms and communities establish their own norms that govern w...
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10/07/2021
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates
Among the most critical limitations of deep learning NLP models are thei...
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09/20/2021
Improving Span Representation for Domain-adapted Coreference Resolution
Recent work has shown fine-tuning neural coreference models can produce ...
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09/10/2021
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties
Adapters are light-weight modules that allow parameter-efficient fine-tu...
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08/24/2021
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
With recent progress in joint modeling of visual and textual representat...
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06/21/2021
A Survey of Race, Racism, and Anti-Racism in NLP
Despite inextricable ties between race and language, little work has con...
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06/10/2021
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation
Open-domain neural dialogue models have achieved high performance in res...
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06/02/2021
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
To successfully negotiate a deal, it is not enough to communicate fluent...
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04/27/2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Modern summarization models generate highly fluent but often factually u...
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04/18/2021
Simple and Efficient ways to Improve REALM
Dense retrieval has been shown to be effective for retrieving relevant d...
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03/30/2021
Evaluating the Morphosyntactic Well-formedness of Generated Texts
Text generation systems are ubiquitous in natural language processing ap...
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12/31/2020
Controlled Analyses of Social Biases in Wikipedia Bios
Social biases on Wikipedia, a widely-read global platform, could greatly...
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10/21/2020
Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia
Specific lexical choices in how people are portrayed both reflect the wr...
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10/12/2020
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
Massively multilingual models subsuming tens or even hundreds of languag...
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10/07/2020
Fortifying Toxic Speech Detectors Against Veiled Toxicity
Modern toxic speech detectors are incompetent in recognizing disguised o...
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10/06/2020
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
Modern multilingual models are trained on concatenated text from multipl...
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10/02/2020
Automatic Extraction of Rules Governing Morphological Agreement
Creating a descriptive grammar of a language is an indispensable step fo...
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08/20/2020
Controlling Dialogue Generation with Semantic Exemplars
Dialogue systems pretrained with large language models generate locally ...
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08/11/2020
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification
In this paper we describe our submission for the task of Propaganda Span...
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06/16/2020
Ranking Transfer Languages with Pragmatically-Motivated Features for Multilingual Sentiment Analysis
Cross-lingual transfer learning studies how datasets, annotations, and m...
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05/25/2020
Demoting Racial Bias in Hate Speech Detection
In current hate speech datasets, there exists a high correlation between...
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05/20/2020
A Computational Analysis of Polarization on Indian and Pakistani Social Media
Between February 14, 2019 and March 4, 2019, a terrorist attack in Pulwa...
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05/14/2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions
Modern deep learning models for NLP are notoriously opaque. This has mot...
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04/17/2020
Unsupervised Discovery of Implicit Gender Bias
Despite their prevalence in society, social biases are difficult to defi...
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04/14/2020
Balancing Training for Multilingual Neural Machine Translation
When training multilingual machine translation (MT) models that can tran...
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03/06/2020
A Framework for the Computational Linguistic Analysis of Dehumanization
Dehumanization is a pernicious psychological process that often leads to...
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03/01/2020
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization
Traditional preneural approaches to single document summarization relied...
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01/21/2020
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods
We perform statistical analysis of the phenomenon of neology, the proces...
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09/30/2019
A Dynamic Strategy Coach for Effective Negotiation
Negotiation is a complex activity involving strategic reasoning, persuas...
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09/30/2019
Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History
We study non-collaborative dialogs, where two agents have a conflict of ...
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09/01/2019
Topics to Avoid: Demoting Latent Confounds in Text Classification
Despite impressive performance on many text classification tasks, deep n...
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07/23/2019
