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01/26/2023
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
The fluency and factual knowledge of large language models (LLMs) height...
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11/27/2022
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses in Foundation Models
A growing ecosystem of large, open-source foundation models has reduced ...
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11/21/2022
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference
While large pre-trained language models are powerful, their predictions ...
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11/16/2022
On Measuring the Intrinsic Few-Shot Hardness of Datasets
While advances in pre-training have led to dramatic improvements in few-...
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11/16/2022
Holistic Evaluation of Language Models
Language models (LMs) are becoming the foundation for almost all major l...
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11/07/2022
Fixing Model Bugs with Natural Language Patches
Current approaches for fixing systematic problems in NLP models (e.g. re...
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11/02/2022
Characterizing Intrinsic Compositionality in Transformers with Tree Projections
When trained on language data, do transformers learn some arbitrary comp...
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10/27/2022
Truncation Sampling as Language Model Desmoothing
Long samples of text from neural language models can be of poor quality....
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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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08/07/2022
When can I Speak? Predicting initiation points for spoken dialogue agents
Current spoken dialogue systems initiate their turns after a long period...
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07/25/2022
Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent
We present Chirpy Cardinal, an open-domain social chatbot. Aiming to be ...
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07/01/2022
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
One concern with the rise of large language models lies with their poten...
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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
Detecting Label Errors using Pre-Trained Language Models
We show that large pre-trained language models are extremely capable of ...
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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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12/14/2021
You Only Need One Model for Open-domain Question Answering
Recent works for Open-domain Question Answering refer to an external kno...
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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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10/14/2021
Hindsight: Posterior-guided training of retrievers for improved open-ended generation
Many text generation systems benefit from using a retriever to retrieve ...
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10/05/2021
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
Reviewing contracts is a time-consuming procedure that incurs large expe...
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09/19/2021
Conditional probing: measuring usable information beyond a baseline
Probing experiments investigate the extent to which neural representatio...
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07/20/2021
Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning
Although virtual agents are increasingly situated in environments where ...
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07/06/2021
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering
Active learning promises to alleviate the massive data needs of supervis...
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05/01/2021
Capturing Logical Structure of Visually Structured Documents with Multimodal Transition Parser
While many NLP papers, tasks and pipelines assume raw, clean texts, many...
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04/16/2021
Human-like informative conversations: Better acknowledgements using conditional mutual information
This work aims to build a dialogue agent that can weave new factual cont...
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12/15/2020
Pre-Training Transformers as Energy-Based Cloze Models
We introduce Electric, an energy-based cloze model for representation le...
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10/30/2020
SLM: Learning a Discourse Language Representation with Sentence Unshuffling
We introduce Sentence-level Language Modeling, a new pre-training object...
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10/23/2020
Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text
Current approaches to open-domain question answering often make crucial ...
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10/15/2020
RNNs can generate bounded hierarchical languages with optimal memory
Recurrent neural networks empirically generate natural language with hig...
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10/14/2020
The EOS Decision and Length Extrapolation
Extrapolation to unseen sequence lengths is a challenge for neural gener...
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10/02/2020
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Learning visual representations of medical images is core to medical ima...
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08/27/2020
Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations
We present Chirpy Cardinal, an open-domain dialogue agent, as a research...
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07/29/2020
Biomedical and Clinical English Model Packages in the Stanza Python NLP Library
We introduce biomedical and clinical English model packages for the Stan...
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05/09/2020
Finding Universal Grammatical Relations in Multilingual BERT
Recent work has found evidence that Multilingual BERT (mBERT), a transfo...
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04/30/2020
Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations
We investigate the problem of generating informative questions in inform...
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04/22/2020
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection
Universal Dependencies is an open community effort to create cross-lingu...
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04/18/2020
Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation
Question Generation (QG) is fundamentally a simple syntactic transformat...
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04/02/2020
Mapping Three Decades of Intellectual Change in Academia
Research on the development of science has focused on the creation of mu...
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03/23/2020
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
Masked language modeling (MLM) pre-training methods such as BERT corrupt...
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03/16/2020
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
We introduce Stanza, an open-source Python natural language processing t...
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11/06/2019
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports
Neural abstractive summarization models are able to generate summaries w...
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10/15/2019
Answering Complex Open-domain Questions Through Iterative Query Generation
It is challenging for current one-step retrieve-and-read question answer...
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09/24/2019
Do Massively Pretrained Language Models Make Better Storytellers?
Large neural language models trained on massive amounts of text have eme...
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07/10/2019
BAM! Born-Again Multi-Task Networks for Natural Language Understanding
It can be challenging to train multi-task neural networks that outperfor...
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07/09/2019
Learning by Abstraction: The Neural State Machine
We introduce the Neural State Machine, seeking to bridge the gap between...
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06/11/2019
What Does BERT Look At? An Analysis of BERT's Attention
Large pre-trained neural networks such as BERT have had great recent suc...
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02/25/2019
GQA: a new dataset for compositional question answering over real-world images
We introduce GQA, a new dataset for real-world visual reasoning and comp...
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01/29/2019
Universal Dependency Parsing from Scratch
This paper describes Stanford's system at the CoNLL 2018 UD Shared Task....
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09/26/2018
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Dependency trees help relation extraction models capture long-range rela...
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09/25/2018
