Daniel Khashabi

research

∙ 02/23/2022

UnifiedQA-v2: Stronger Generalization via Broader Cross-Format Training

We present UnifiedQA-v2, a QA model built with the same process as Unifi...

Daniel Khashabi, et al. ∙

research

∙ 11/14/2021

Time Waits for No One! Analysis and Challenges of Temporal Misalignment

When an NLP model is trained on text data from one time period and teste...

Kelvin Luu, et al. ∙

research

∙ 10/16/2021

Learning to Solve Complex Tasks by Talking to Agents

Humans often solve complex problems by interacting (in natural language)...

Tushar Khot, et al. ∙

research

∙ 09/16/2021

Reframing Instructional Prompts to GPTk's Language

How can model designers turn task instructions into effective prompts fo...

Swaroop Mishra, et al. ∙

research

∙ 06/02/2021

Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?

Is it possible to use natural language to intervene in a model's behavio...

Jieyu Zhao, et al. ∙

research

∙ 04/18/2021

Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions

Can we enable NLP models to appropriately respond to instructional promp...

Swaroop Mishra, et al. ∙

research

∙ 04/18/2021

GooAQ: Open Question Answering with Diverse Answer Types

While day-to-day questions come with a variety of answer types, the curr...

Daniel Khashabi, et al. ∙

research

∙ 02/05/2021

Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

We present the ARC-DA dataset, a direct-answer ("open response", "freefo...

Sumithra Bhakthavatsalam, et al. ∙

research

∙ 01/17/2021

GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation

Leaderboards have eased model development for many NLP datasets by stand...

Daniel Khashabi, et al. ∙

research

∙ 01/06/2021

Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies

A key limitation in current datasets for multi-hop reasoning is that the...

Mor Geva, et al. ∙

research

∙ 10/06/2020

UNQOVERing Stereotyping Biases via Underspecified Questions

While language embeddings have been shown to have stereotyping biases, h...

Tao Li, et al. ∙

research

∙ 09/01/2020

Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models

A common approach to solve complex tasks is by breaking them down into s...

Tushar Khot, et al. ∙

research

∙ 05/08/2020

Temporal Common Sense Acquisition with Minimal Supervision

Temporal common sense (e.g., duration and frequency of events) is crucia...

Ben Zhou, et al. ∙

research

∙ 05/02/2020

UnifiedQA: Crossing Format Boundaries With a Single QA System

Question answering (QA) tasks have been posed using a variety of formats...

Daniel Khashabi, et al. ∙

research

∙ 05/01/2020

TransOMCS: From Linguistic Graphs to Commonsense Knowledge

Commonsense knowledge acquisition is a key problem for artificial intell...

Hongming Zhang, et al. ∙

research

∙ 04/09/2020

Natural Perturbation for Robust Question Answering

While recent models have achieved human-level scores on many NLP dataset...

Daniel Khashabi, et al. ∙

research

∙ 04/06/2020

Evaluating NLP Models via Contrast Sets

Standard test sets for supervised learning evaluate in-distribution gene...

Matt Gardner, et al. ∙

research

∙ 11/10/2019

Not All Claims are Created Equal: Choosing the Right Approach to Assess Your Hypotheses

Empirical research in Natural Language Processing (NLP) has adopted a na...

Erfan Sadeqi Azer, et al. ∙

research

∙ 09/06/2019

"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding

Understanding time is crucial for understanding events expressed in natu...

Ben Zhou, et al. ∙

research

∙ 08/14/2019

Reasoning-Driven Question-Answering for Natural Language Understanding

Natural language understanding (NLU) of text is a fundamental challenge ...

Daniel Khashabi, et al. ∙

research

∙ 07/11/2019

Solving Hard Coreference Problems

Coreference resolution is a key problem in natural language understandin...

Haoruo Peng, et al. ∙

research

∙ 07/07/2019

Zero-Shot Open Entity Typing as Type-Compatible Grounding

The problem of entity-typing has been studied predominantly in supervise...

Ben Zhou, et al. ∙

research

∙ 06/11/2019

PerspectroScope: A Window to the World of Diverse Perspectives

This work presents PerspectroScope, a web-based system which lets users ...

Sihao Chen, et al. ∙

research

∙ 06/09/2019

Question Answering as Global Reasoning over Semantic Abstractions

We propose a novel method for exploiting the semantic structure of text ...

Daniel Khashabi, et al. ∙

research

∙ 06/08/2019

Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims

One key consequence of the information revolution is a significant incre...

Sihao Chen, et al. ∙

research

∙ 01/08/2019

On the Capabilities and Limitations of Reasoning for Natural Language Understanding

Recent systems for natural language understanding are strong at overcomi...

Daniel Khashabi, et al. ∙

research

∙ 07/25/2017

Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks

Many real world systems need to operate on heterogeneous information net...

Parisa Kordjamshidi, et al. ∙

research

∙ 05/20/2016

Adversarial Delays in Online Strongly-Convex Optimization

We consider the problem of strongly-convex online optimization in presen...

Daniel Khashabi, et al. ∙

research

∙ 04/20/2016

Question Answering via Integer Programming over Semi-Structured Knowledge

Answering science questions posed in natural language is an important AI...

Daniel Khashabi, et al. ∙

research

∙ 08/25/2015

Clustering With Side Information: From a Probabilistic Model to a Deterministic Algorithm

In this paper, we propose a model-based clustering method (TVClust) that...

Daniel Khashabi, et al. ∙

research

∙ 01/10/2013

Heteroscedastic Relevance Vector Machine

In this work we propose a heteroscedastic generalization to RVM, a fast ...

Daniel Khashabi, et al. ∙

research

∙ 12/26/2012

Generating Motion Patterns Using Evolutionary Computation in Digital Soccer

Dribbling an opponent player in digital soccer environment is an importa...

Masoud Amoozgar, et al. ∙

Daniel Khashabi

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