Daniel Khashabi

research

∙ 07/17/2023

GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution

Augmenting large language models (LLM) to use external tools enhances th...

0 Yining Lu, et al. ∙

research

∙ 05/22/2023

"According to ..." Prompting Language Models Improves Quoting from Pre-Training Data

Large Language Models (LLMs) may hallucinate and generate fake informati...

0 Orion Weller, et al. ∙

research

∙ 05/18/2023

Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency

With growing capabilities of large language models, prompting them has b...

0 Lingfeng Shen, et al. ∙

research

∙ 12/20/2022

When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories

Despite their impressive performance on diverse tasks, large language mo...

0 Alex Mallen, et al. ∙

research

∙ 10/18/2022

The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks

How reliably can we trust the scores obtained from social bias benchmark...

0 Nikil Roashan Selvam, et al. ∙

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...

0 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...

0 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)...

0 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...

9 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...

10 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...

12 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...

0 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...

0 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...

7 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...

0 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...

0 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...

7 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...

0 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...

4 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...

16 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...

1 Daniel Khashabi, et al. ∙

research

∙ 04/06/2020

Evaluating NLP Models via Contrast Sets

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

0 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...

8 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...

0 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 ...

4 Daniel Khashabi, et al. ∙

research

∙ 07/11/2019

Solving Hard Coreference Problems

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

0 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...

0 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 ...

0 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 ...

3 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...

0 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...

12 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...

0 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...

0 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...

0 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...

0 Daniel Khashabi, et al. ∙

research

∙ 01/10/2013

Heteroscedastic Relevance Vector Machine

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

0 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...

0 Masoud Amoozgar, et al. ∙

Daniel Khashabi

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