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07/01/2023
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models
Natural Language Feedback (NLF) is an increasingly popular avenue to ali...
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05/28/2023
Mitigating Label Biases for In-context Learning
Various design settings for in-context learning (ICL), such as the choic...
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05/10/2023
RECKONING: Reasoning through Dynamic Knowledge Encoding
Recent studies on transformer-based language models show that they can a...
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05/03/2023
PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives
Sustaining coherent and engaging narratives requires dialogue or storyte...
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04/04/2023
REFINER: Reasoning Feedback on Intermediate Representations
Language models (LMs) have recently shown remarkable performance on reas...
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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
kogito: A Commonsense Knowledge Inference Toolkit
In this paper, we present kogito, an open-source tool for generating com...
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10/23/2022
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge
Understanding rich narratives, such as dialogues and stories, often requ...
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10/17/2022
Deep Bidirectional Language-Knowledge Graph Pretraining
Pretraining a language model (LM) on text has been shown to help various...
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06/13/2022
Memory-Based Model Editing at Scale
Even the largest neural networks make errors, and once-correct predictio...
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05/25/2022
Discovering Language-neutral Sub-networks in Multilingual Language Models
Multilingual pre-trained language models perform remarkably well on cros...
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05/25/2022
Conditional set generation using Seq2seq models
Conditional set generation learns a mapping from an input sequence of to...
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02/18/2022
Synthetic Disinformation Attacks on Automated Fact Verification Systems
Automated fact-checking is a needed technology to curtail the spread of ...
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01/21/2022
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Answering complex questions about textual narratives requires reasoning ...
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10/21/2021
Fast Model Editing at Scale
While large pre-trained models have enabled impressive results on a vari...
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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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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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04/13/2021
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
The problem of answering questions using knowledge from pre-trained lang...
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02/02/2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NL...
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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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12/08/2020
Edited Media Understanding: Reasoning About Implications of Manipulated Images
Multimodal disinformation, from `deepfakes' to simple edits that deceive...
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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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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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11/10/2019
Dynamic Knowledge Graph Construction for Zero-shot Commonsense Question Answering
Understanding narratives requires dynamically reasoning about the implic...
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10/07/2019
Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion
Automatic KB completion for commonsense knowledge graphs (e.g., ATOMIC a...
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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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09/09/2019
Counterfactual Story Reasoning and Generation
Counterfactual reasoning requires predicting how alternative events, con...
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07/02/2019
Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow
We introduce Cooperative Generator-Discriminator Networks (Co-opNet), a ...
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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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06/12/2019
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
We present the first comprehensive study on automatic knowledge base con...
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06/01/2019
Efficient Adaptation of Pretrained Transformers for Abstractive Summarization
Large-scale learning of transformer language models has yielded improvem...
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08/29/2018
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge
Comprehending procedural text, e.g., a paragraph describing photosynthes...
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05/16/2018
Modeling Naive Psychology of Characters in Simple Commonsense Stories
Understanding a narrative requires reading between the lines and reasoni...
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05/16/2018
Learning to Write with Cooperative Discriminators
Recurrent Neural Networks (RNNs) are powerful autoregressive sequence mo...
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05/10/2018
Discourse-Aware Neural Rewards for Coherent Text Generation
In this paper, we investigate the use of discourse-aware rewards with re...
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03/27/2018
Deep Communicating Agents for Abstractive Summarization
We present deep communicating agents in an encoder-decoder architecture ...
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11/14/2017