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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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12/20/2022
DISCO: Distilling Phrasal Counterfactuals with Large Language Models
Recent methods demonstrate that data augmentation using counterfactual k...
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11/15/2022
Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs
Can we teach natural language understanding models to track their belief...
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10/30/2022
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts
Explicit decomposition modeling, which involves breaking down complex ta...
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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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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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12/16/2021
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability
Investigating the reasoning abilities of transformer models, and discove...
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11/30/2021
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking
While neural language models often perform surprisingly well on natural ...
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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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10/04/2021
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models
In this paper, we present and implement a multi-dimensional, modular fra...
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06/07/2021
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference
Multilingual transformers (XLM, mT5) have been shown to have remarkable ...
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03/24/2021
Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning Performance of GPT-2
Thinking aloud is an effective meta-cognitive strategy human reasoners a...
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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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10/24/2020
Temporal Reasoning on Implicit Events from Distant Supervision
Existing works on temporal reasoning among events described in text focu...
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10/12/2020
OCNLI: Original Chinese Natural Language Inference
Despite the tremendous recent progress on natural language inference (NL...
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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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04/30/2020
Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models
In adversarial (challenge) testing, we pose hard generalization tasks in...
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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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12/31/2019
What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge
Open-domain question answering (QA) is known to involve several underlyi...
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10/19/2019
MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity
We present a new logic-based inference engine for natural language infer...
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09/16/2019
Probing Natural Language Inference Models through Semantic Fragments
Do state-of-the-art models for language understanding already have, or c...
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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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03/31/2018
A Language for Function Signature Representations
Recent work by (Richardson and Kuhn, 2017a,b; Richardson et al., 2018) l...
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03/19/2018
Polyglot Semantic Parsing in APIs
Traditional approaches to semantic parsing (SP) work by training individ...
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07/31/2017
The Code2Text Challenge: Text Generation in Source Code Libraries
We propose a new shared task for tactical data-to-text generation in the...
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06/01/2017
Function Assistant: A Tool for NL Querying of APIs
In this paper, we describe Function Assistant, a lightweight Python-base...
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05/13/2017