research
∙
09/15/2023
OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax?
The authors explain where OpenAI got the tax law example in its livestre...
share
research
∙
09/15/2023
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets
Using large language models (LMs) for query or document expansion can im...
research
∙
07/13/2023
MegaWika: Millions of reports and their sources across 50 diverse languages
To foster the development of new models for collaborative AI-assisted re...
research
∙
07/06/2023
MultiVENT: Multilingual Videos of Events with Aligned Natural Text
Everyday news coverage has shifted from traditional broadcasts towards a...
research
∙
06/29/2023
Evaluating Paraphrastic Robustness in Textual Entailment Models
We present PaRTE, a collection of 1,126 pairs of Recognizing Textual Ent...
research
∙
06/01/2023
Zero and Few-shot Semantic Parsing with Ambiguous Inputs
Despite the ubiquity of ambiguity in natural language, it is often ignor...
research
∙
05/24/2023
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction
Learning template based information extraction from documents is a cruci...
research
∙
05/23/2023
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules
Incorporating language-specific (LS) modules is a proven method to boost...
research
∙
05/22/2023
"According to ..." Prompting Language Models Improves Quoting from Pre-Training Data
Large Language Models (LLMs) may hallucinate and generate fake informati...
research
∙
05/12/2023
NevIR: Negation in Neural Information Retrieval
Negation is a common everyday phenomena and has been a consistent area o...
research
∙
03/29/2023
Did You Mean...? Confidence-based Trade-offs in Semantic Parsing
We illustrate how a calibrated model can help balance common trade-offs ...
research
∙
03/06/2023
Data Portraits: Recording Foundation Model Training Data
Foundation models are trained on increasingly immense and opaque dataset...
research
∙
02/13/2023
Can GPT-3 Perform Statutory Reasoning?
Statutory reasoning is the task of reasoning with facts and statutes, wh...
research
∙
12/20/2022
Ontologically Faithful Generation of Non-Player Character Dialogues
We introduce a language generation task grounded in a popular video game...
research
∙
12/20/2022
When Do Decompositions Help for Machine Reading?
Answering complex questions often requires multi-step reasoning in order...
research
∙
12/20/2022
Defending Against Poisoning Attacks in Open-Domain Question Answering
Recent work in open-domain question answering (ODQA) has shown that adve...
research
∙
12/01/2022
Localization vs. Semantics: How Can Language Benefit Visual Representation Learning?
Despite the superior performance brought by vision-and-language pretrain...
research
∙
12/01/2022
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning
Visual Question Answering (VQA) models often perform poorly on out-of-di...
research
∙
11/14/2022
Calibrated Interpretation: Confidence Estimation in Semantic Parsing
Task-oriented semantic parsing is increasingly being used in user-facing...
research
∙
10/20/2022
Automatic Document Selection for Efficient Encoder Pretraining
Building pretrained language models is considered expensive and data-int...
research
∙
10/13/2022
An Empirical Study on Finding Spans
We present an empirical study on methods for span finding, the selection...
research
∙
10/12/2022
Iterative Document-level Information Extraction via Imitation Learning
We present a novel iterative extraction (IterX) model for extracting com...
research
∙
10/06/2022
Ambiguous Images With Human Judgments for Robust Visual Event Classification
Contemporary vision benchmarks predominantly consider tasks on which hum...
research
∙
09/16/2022
Dynamic Generation of Interpretable Inference Rules in a Neuro-Symbolic Expert System
We present an approach for systematic reasoning that produces human inte...
research
∙
08/02/2022
Multilingual Coreference Resolution in Multiparty Dialogue
Existing multiparty dialogue datasets for coreference resolution are nas...
research
∙
07/12/2022
Zero-shot Cross-lingual Transfer is Under-specified Optimization
Pretrained multilingual encoders enable zero-shot cross-lingual transfer...
research
∙
06/21/2022
BenchCLAMP: A Benchmark for Evaluating Language Models on Semantic Parsing
We introduce BenchCLAMP, a Benchmark to evaluate Constrained LAnguage Mo...
research
∙
06/06/2022
Pretrained Models for Multilingual Federated Learning
Since the advent of Federated Learning (FL), research has applied these ...
research
∙
05/25/2022
Asking the Right Questions in Low Resource Template Extraction
Information Extraction (IE) researchers are mapping tasks to Question An...
research
∙
05/24/2022
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems
In natural language understanding (NLU) production systems, users' evolv...
research
∙
05/24/2022
The Curious Case of Control
Children acquiring English make systematic errors on subject control sen...
research
∙
05/18/2022
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation
We introduce a novel setup for low-resource task-oriented semantic parsi...
research
∙
05/04/2022
Visual Commonsense in Pretrained Unimodal and Multimodal Models
Our commonsense knowledge about objects includes their typical visual at...
research
∙
03/09/2022
One-Shot Learning from a Demonstration with Hierarchical Latent Language
Humans have the capability, aided by the expressive compositionality of ...
research
∙
02/16/2022
The NLP Task Effectiveness of Long-Range Transformers
Transformer models cannot easily scale to long sequences due to their O(...
research
∙
12/16/2021
Few-Shot Semantic Parsing with Language Models Trained On Code
Large language models, prompted with in-context examples, can perform se...
research
∙
10/01/2021
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images
While neural symbolic methods demonstrate impressive performance in visu...
research
∙
09/14/2021
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
Zero-shot cross-lingual information extraction (IE) describes the constr...
research
∙
09/09/2021
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation
The success of bidirectional encoders using masked language models, such...
research
∙
07/21/2021
Guided Generation of Cause and Effect
We present a conditional text generation framework that posits sententia...
research
∙
05/17/2021
Factoring Statutory Reasoning as Language Understanding Challenges
Statutory reasoning is the task of determining whether a legal statute, ...
research
∙
04/18/2021
Schema Curation via Causal Association Rule Mining
Event schemas are structured knowledge sources defining typical real-wor...
research
∙
04/18/2021
Constrained Language Models Yield Few-Shot Semantic Parsers
We explore the use of large pretrained language models as few-shot seman...
research
∙
04/17/2021
Moving on from OntoNotes: Coreference Resolution Model Transfer
Academic neural models for coreference resolution are typically trained ...
research
∙
04/15/2021
Adaptive Active Learning for Coreference Resolution
Training coreference resolution models require comprehensively labeled d...
research
∙
04/12/2021
Joint Universal Syntactic and Semantic Parsing
While numerous attempts have been made to jointly parse syntax and seman...
research
∙
03/08/2021
InFillmore: Neural Frame Lexicalization for Narrative Text Infilling
We propose a structured extension to bidirectional-context conditional l...
research
∙
03/03/2021
Gradual Fine-Tuning for Low-Resource Domain Adaptation
Fine-tuning is known to improve NLP models by adapting an initial model ...
research
∙
01/28/2021
LOME: Large Ontology Multilingual Extraction
We present LOME, a system for performing multilingual information extrac...
research
∙
10/28/2020
