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09/14/2023
Anchor Points: Benchmarking Models with Much Fewer Examples
Modern language models often exhibit powerful but brittle behavior, lead...
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06/28/2023
Towards Language Models That Can See: Computer Vision Through the LENS of Natural Language
We propose LENS, a modular approach for tackling computer vision problem...
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06/21/2023
OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
Large multimodal models trained on natural documents, which interleave i...
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03/22/2023
AfroDigits: A Community-Driven Spoken Digit Dataset for African Languages
The advancement of speech technologies has been remarkable, yet its inte...
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02/14/2023
Investigating Multi-source Active Learning for Natural Language Inference
In recent years, active learning has been successfully applied to an arr...
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12/09/2022
Measuring Data
We identify the task of measuring data to quantitatively characterize th...
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07/20/2022
DataPerf: Benchmarks for Data-Centric AI Development
Machine learning (ML) research has generally focused on models, while th...
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05/25/2022
Perturbation Augmentation for Fairer NLP
Unwanted and often harmful social biases are becoming ever more salient ...
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04/07/2022
Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality
We present a novel task and dataset for evaluating the ability of vision...
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04/05/2022
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks
We introduce Dynatask: an open source system for setting up custom NLP t...
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12/16/2021
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants
In Dynamic Adversarial Data Collection (DADC), human annotators are task...
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12/08/2021
FLAVA: A Foundational Language And Vision Alignment Model
State-of-the-art vision and vision-and-language models rely on large-sca...
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10/16/2021
Analyzing Dynamic Adversarial Training Data in the Limit
To create models that are robust across a wide range of test inputs, tra...
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09/08/2021
What's Hidden in a One-layer Randomly Weighted Transformer?
We demonstrate that, hidden within one-layer randomly weighted neural ne...
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06/04/2021
Human-Adversarial Visual Question Answering
Performance on the most commonly used Visual Question Answering dataset ...
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06/02/2021
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study
In adversarial data collection (ADC), a human workforce interacts with a...
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05/24/2021
True Few-Shot Learning with Language Models
Pretrained language models (LMs) perform well on many tasks even when le...
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04/18/2021
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation
Despite the availability of very large datasets and pretrained models, s...
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04/16/2021
Cross-Modal Retrieval Augmentation for Multi-Modal Classification
Recent advances in using retrieval components over external knowledge so...
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04/15/2021
Gradient-based Adversarial Attacks against Text Transformers
We propose the first general-purpose gradient-based attack against trans...
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04/15/2021
Retrieval Augmentation Reduces Hallucination in Conversation
Despite showing increasingly human-like conversational abilities, state-...
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04/14/2021
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
A possible explanation for the impressive performance of masked language...
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03/14/2021
Quasi-Equivalence Discovery for Zero-Shot Emergent Communication
Effective communication is an important skill for enabling information e...
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03/05/2021
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
We introduce a method to determine if a certain capability helps to achi...
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12/31/2020
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
We present a first-of-its-kind large synthetic training dataset for onli...
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12/30/2020
DynaSent: A Dynamic Benchmark for Sentiment Analysis
We introduce DynaSent ('Dynamic Sentiment'), a new English-language benc...
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12/30/2020
Reservoir Transformer
We demonstrate that transformers obtain impressive performance even when...
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12/24/2020
I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling
To quantify how well natural language understanding models can capture c...
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12/24/2020
To what extent do human explanations of model behavior align with actual model behavior?
Given the increasingly prominent role NLP models (will) play in our live...
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10/29/2020
Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations
Effective communication is an important skill for enabling information e...
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10/24/2020
ANLIzing the Adversarial Natural Language Inference Dataset
We perform an in-depth error analysis of Adversarial NLI (ANLI), a recen...
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09/27/2020
Learning Optimal Representations with the Decodable Information Bottleneck
We address the question of characterizing and finding optimal representa...
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09/27/2020
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
We propose a simple and efficient multi-hop dense retrieval approach for...
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05/22/2020
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Large pre-trained language models have been shown to store factual knowl...
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05/10/2020
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
This work proposes a new challenge set for multimodal classification, fo...
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05/01/2020
Multi-Dimensional Gender Bias Classification
Machine learning models are trained to find patterns in data. NLP models...
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02/22/2020
Unsupervised Question Decomposition for Question Answering
We aim to improve question answering (QA) by decomposing hard questions ...
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02/07/2020
I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents
Dialogue research tends to distinguish between chit-chat and goal-orient...
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02/07/2020
I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-orientated dialogue agents
Dialogue research tends to distinguish between chit-chat and goal-orient...
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11/20/2019
Generating Interactive Worlds with Text
Procedurally generating cohesive and interesting game environments is ch...
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11/10/2019
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation
Models often easily learn biases present in the training data, and their...
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10/31/2019
Adversarial NLI: A New Benchmark for Natural Language Understanding
We introduce a new large-scale NLI benchmark dataset, collected via an i...
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10/28/2019
Hyperbolic Graph Neural Networks
Learning from graph-structured data is an important task in machine lear...
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10/03/2019
Generalized Inner Loop Meta-Learning
Many (but not all) approaches self-qualifying as "meta-learning" in deep...
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09/12/2019
Finding Generalizable Evidence by Learning to Convince Q A Models
We propose a system that finds the strongest supporting evidence for a g...
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09/10/2019
Countering Language Drift via Visual Grounding
Emergent multi-agent communication protocols are very different from nat...
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09/06/2019
Supervised Multimodal Bitransformers for Classifying Images and Text
Self-supervised bidirectional transformer models such as BERT have led t...
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07/22/2019
Why Build an Assistant in Minecraft?
In this document we describe a rationale for a research program aimed at...
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03/07/2019
Learning to Speak and Act in a Fantasy Text Adventure Game
We introduce a large scale crowdsourced text adventure game as a researc...
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02/22/2019
