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07/17/2023
GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution
Augmenting large language models (LLM) to use external tools enhances th...
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05/22/2023
"According to ..." Prompting Language Models Improves Quoting from Pre-Training Data
Large Language Models (LLMs) may hallucinate and generate fake informati...
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05/18/2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency
With growing capabilities of large language models, prompting them has b...
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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...
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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...
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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...
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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...
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10/16/2021
Learning to Solve Complex Tasks by Talking to Agents
Humans often solve complex problems by interacting (in natural language)...
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09/16/2021
Reframing Instructional Prompts to GPTk's Language
How can model designers turn task instructions into effective prompts fo...
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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...
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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...
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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...
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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...
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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...
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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...
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10/06/2020
UNQOVERing Stereotyping Biases via Underspecified Questions
While language embeddings have been shown to have stereotyping biases, h...
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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...
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05/08/2020
Temporal Common Sense Acquisition with Minimal Supervision
Temporal common sense (e.g., duration and frequency of events) is crucia...
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05/02/2020
UnifiedQA: Crossing Format Boundaries With a Single QA System
Question answering (QA) tasks have been posed using a variety of formats...
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05/01/2020
TransOMCS: From Linguistic Graphs to Commonsense Knowledge
Commonsense knowledge acquisition is a key problem for artificial intell...
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04/09/2020
Natural Perturbation for Robust Question Answering
While recent models have achieved human-level scores on many NLP dataset...
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04/06/2020
Evaluating NLP Models via Contrast Sets
Standard test sets for supervised learning evaluate in-distribution gene...
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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...
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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...
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08/14/2019
Reasoning-Driven Question-Answering for Natural Language Understanding
Natural language understanding (NLU) of text is a fundamental challenge ...
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07/11/2019
Solving Hard Coreference Problems
Coreference resolution is a key problem in natural language understandin...
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07/07/2019
Zero-Shot Open Entity Typing as Type-Compatible Grounding
The problem of entity-typing has been studied predominantly in supervise...
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06/11/2019
PerspectroScope: A Window to the World of Diverse Perspectives
This work presents PerspectroScope, a web-based system which lets users ...
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06/09/2019
Question Answering as Global Reasoning over Semantic Abstractions
We propose a novel method for exploiting the semantic structure of text ...
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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...
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01/08/2019
On the Capabilities and Limitations of Reasoning for Natural Language Understanding
Recent systems for natural language understanding are strong at overcomi...
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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...
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05/20/2016
Adversarial Delays in Online Strongly-Convex Optimization
We consider the problem of strongly-convex online optimization in presen...
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04/20/2016
Question Answering via Integer Programming over Semi-Structured Knowledge
Answering science questions posed in natural language is an important AI...
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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...
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01/10/2013
Heteroscedastic Relevance Vector Machine
In this work we propose a heteroscedastic generalization to RVM, a fast ...
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12/26/2012