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10/14/2021
Delphi: Towards Machine Ethics and Norms
What would it take to teach a machine to behave ethically? While broad e...
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10/14/2021
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
The common practice for training commonsense models has gone from-human-...
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09/28/2021
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics
Neural sequence models trained with maximum likelihood estimation have l...
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09/17/2021
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules
One of the challenges faced by conversational agents is their inability ...
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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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08/31/2021
It's not Rocket Science : Interpreting Figurative Language in Narratives
Figurative language is ubiquitous in English. Yet, the vast majority of ...
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07/02/2021
Scarecrow: A Framework for Scrutinizing Machine Text
Modern neural text generation systems can produce remarkably fluent and ...
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06/15/2021
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral
The spectacular success of deep generative models calls for quantitative...
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06/08/2021
TIMEDIAL: Temporal Commonsense Reasoning in Dialog
Everyday conversations require understanding everyday events, which in t...
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06/04/2021
MERLOT: Multimodal Neural Script Knowledge Models
As humans, we understand events in the visual world contextually, perfor...
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06/01/2021
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World
We propose PIGLeT: a model that learns physical commonsense knowledge th...
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05/07/2021
On-the-Fly Controlled Text Generation with Experts and Anti-Experts
Despite recent advances in natural language generation, it remains chall...
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04/18/2021
Misinfo Belief Frames: A Case Study on Covid Climate News
Prior beliefs of readers impact the way in which they project meaning on...
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04/18/2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning
Image captioning has conventionally relied on reference-based automatic ...
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04/16/2021
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right
Large language models have shown promising results in zero-shot settings...
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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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04/13/2021
"I'm Not Mad": Commonsense Implications of Negation and Contradiction
Natural language inference requires reasoning about contradictions, nega...
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03/24/2021
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark
Commonsense AI has long been seen as a near impossible goal – until rece...
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03/24/2021
NaturalProofs: Mathematical Theorem Proving in Natural Language
Understanding and creating mathematics using natural mathematical langua...
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03/02/2021
Contrastive Explanations for Model Interpretability
Contrastive explanations clarify why an event occurred in contrast to an...
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02/02/2021
MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation
Despite major advances in open-ended text generation, there has been lim...
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02/02/2021
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations
We study conversational dialog in which there are many possible response...
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01/29/2021
Challenges in Automated Debiasing for Toxic Language Detection
Biased associations have been a challenge in the development of classifi...
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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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01/02/2021
VinVL: Making Visual Representations Matter in Vision-Language Models
This paper presents a detailed study of improving visual representations...
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01/02/2021
On-the-Fly Attention Modularization for Neural Generation
Despite considerable advancements with deep neural language models (LMs)...
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01/01/2021
Understanding Few-Shot Commonsense Knowledge Models
Providing natural language processing systems with commonsense knowledge...
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12/31/2020
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences
In social settings, much of human behavior is governed by unspoken rules...
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12/14/2020
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
The black-box nature of neural models has motivated a line of research t...
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12/08/2020
Edited Media Understanding: Reasoning About Implications of Manipulated Images
Multimodal disinformation, from `deepfakes' to simple edits that deceive...
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11/01/2020
Social Chemistry 101: Learning to Reason about Social and Moral Norms
Social norms—the unspoken commonsense rules about acceptable social beha...
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10/26/2020
PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction
Unconscious biases continue to be prevalent in modern text and media, ca...
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10/24/2020
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints
Conditional text generation often requires lexical constraints, i.e., wh...
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10/24/2020
Go Figure! A Meta Evaluation of Factuality in Summarization
Text generation models can generate factually inconsistent text containi...
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10/16/2020
Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning
Pretrained Language Models (LMs) generate text with remarkable quality, ...
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10/15/2020
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
Natural language rationales could provide intuitive, higher-level explan...
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10/12/2020
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs
Recent years have brought about a renewed interest in commonsense repres...
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10/12/2020
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning
Abductive and counterfactual reasoning, core abilities of everyday human...
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10/04/2020
Paragraph-Level Commonsense Transformers with Recurrent Memory
Human understanding of narrative texts requires making commonsense infer...
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09/24/2020
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
Pretrained neural language models (LMs) are prone to generating racist, ...
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08/20/2020
Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes
As AI systems become an increasing part of people's everyday lives, it b...
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04/30/2020
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking
We propose the task of outline-conditioned story generation: given an ou...
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04/24/2020
G-DAUG: Generative Data Augmentation for Commonsense Reasoning
Recent advances in commonsense reasoning depend on large-scale human-ann...
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04/22/2020
Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image
Even from a single frame of a still image, people can reason about the d...
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04/13/2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Large-scale pre-training methods of learning cross-modal representations...
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04/11/2020
Unsupervised Commonsense Question Answering with Self-Talk
Natural language understanding involves reading between the lines with i...
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04/07/2020
Evaluating Machines by their Real-World Language Use
There is a fundamental gap between how humans understand and use languag...
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03/31/2020
Procedural Reading Comprehension with Attribute-Aware Context Flow
Procedural texts often describe processes (e.g., photosynthesis and cook...
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03/02/2020
Multi-View Learning for Vision-and-Language Navigation
Learning to navigate in a visual environment following natural language ...
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02/10/2020