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05/24/2023
Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy
When large language models (LMs) are applied in zero- or few-shot settin...
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05/23/2023
Language Models with Rationality
While large language models (LLMs) are proficient at question-answering ...
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05/23/2023
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions
Although counterfactual reasoning is a fundamental aspect of intelligenc...
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05/22/2023
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
In this paper, we present a novel approach for distilling math word prob...
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05/15/2023
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs
Despite their unprecedented success, even the largest language models ma...
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03/30/2023
Self-Refine: Iterative Refinement with Self-Feedback
Like people, LLMs do not always generate the best text for a given gener...
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12/20/2022
Do language models have coherent mental models of everyday things?
When people think of everyday things like an "egg," they typically have ...
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10/31/2022
Lila: A Unified Benchmark for Mathematical Reasoning
Mathematical reasoning skills are essential for general-purpose intellig...
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10/28/2022
Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE
Figurative language (e.g., "he flew like the wind") is challenging to un...
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10/21/2022
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning
Our goal is a question-answering (QA) system that can show how its answe...
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10/05/2022
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Few-shot prompting is a surprisingly powerful way to use Large Language ...
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10/03/2022
Complexity-Based Prompting for Multi-Step Reasoning
We study the task of prompting large-scale language models to perform mu...
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09/20/2022
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
When answering a question, humans utilize the information available acro...
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04/27/2022
Towards Teachable Reasoning Systems
Our goal is a teachable reasoning system for question-answering (QA), wh...
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04/19/2022
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment
The instruction learning paradigm – where a model learns to perform new ...
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04/12/2022
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks
Given the ubiquitous nature of numbers in text, reasoning with numbers t...
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01/16/2022
Memory-assisted prompt editing to improve GPT-3 after deployment
Large LMs such as GPT-3, while powerful, are not immune to mistakes, but...
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12/16/2021
Improving scripts with a memory of natural feedback
How can an end-user provide feedback if a deployed structured prediction...
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12/16/2021
DREAM: Uncovering Mental Models behind Language Models
To what extent do language models (LMs) build "mental models" of a scene...
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12/15/2021
Interscript: A dataset for interactive learning of scripts through error feedback
How can an end-user provide feedback if a deployed structured prediction...
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10/27/2021
How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI
Many real-world problems require the combined application of multiple re...
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09/29/2021
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief
Although pretrained language models (PTLMs) contain significant amounts ...
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09/06/2021
General-Purpose Question-Answering with Macaw
Despite the successes of pretrained language models, there are still few...
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04/18/2021
Improving Neural Model Performance through Natural Language Feedback on Their Explanations
A class of explainable NLP models for reasoning tasks support their deci...
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04/17/2021
Explaining Answers with Entailment Trees
Our goal, in the context of open-domain textual question-answering (QA),...
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04/16/2021
Enriching a Model's Notion of Belief using a Persistent Memory
Although pretrained language models (PTLMs) have been shown to contain s...
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04/16/2021
proScript: Partially Ordered Scripts Generation via Pre-trained Language Models
Scripts - standardized event sequences describing typical everyday activ...
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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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12/24/2020
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language
Transformers have been shown to emulate logical deduction over natural l...
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10/07/2020
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering
Despite the rapid progress in multihop question-answering (QA), models s...
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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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06/12/2020
Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations
We present a new knowledge-base of hasPart relationships, extracted from...
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06/11/2020
Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge
To what extent can a neural network systematically reason over symbolic ...
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05/08/2020
Knowledge Patterns
This paper describes a new technique, called "knowledge patterns", for h...
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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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05/02/2020
GenericsKB: A Knowledge Base of Generic Statements
We present a new resource for the NLP community, namely a large (3.5M+ s...
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02/14/2020
Transformers as Soft Reasoners over Language
AI has long pursued the goal of having systems reason over *explicitly p...
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10/25/2019
QASC: A Dataset for Question Answering via Sentence Composition
Composing knowledge from multiple pieces of texts is a key challenge in ...
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09/19/2019
What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering
Multi-hop textual question answering requires combining information from...
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09/10/2019
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text
Our goal is to better comprehend procedural text, e.g., a paragraph abou...
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09/10/2019
WIQA: A dataset for "What if..." reasoning over procedural text
We introduce WIQA, the first large-scale dataset of "What if..." questio...
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09/08/2019
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions
We introduce the first open-domain dataset, called QuaRTz, for reasoning...
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09/04/2019
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
AI has achieved remarkable mastery over games such as Chess, Go, and Pok...
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08/16/2019
Reasoning Over Paragraph Effects in Situations
A key component of successfully reading a passage of text is the ability...
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08/15/2019
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams
Prior work has demonstrated that question classification (QC), recognizi...
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06/21/2019
Be Consistent! Improving Procedural Text Comprehension using Label Consistency
Our goal is procedural text comprehension, namely tracking how the prope...
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05/01/2019
Declarative Question Answering over Knowledge Bases containing Natural Language Text with Answer Set Programming
While in recent years machine learning (ML) based approaches have been t...
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11/20/2018
QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships
Many natural language questions require recognizing and reasoning with q...
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09/08/2018
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
We present a new kind of question answering dataset, OpenBookQA, modeled...
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08/29/2018
