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05/27/2023
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
Large-scale vision language (VL) models use Transformers to perform cros...
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03/16/2023
ART: Automatic multi-step reasoning and tool-use for large language models
Large language models (LLMs) can perform complex reasoning in few- and z...
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12/02/2022
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization
Models trained via empirical risk minimization (ERM) are known to rely o...
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10/10/2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
Counterfactual data augmentation (CDA) – i.e., adding minimally perturbe...
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10/14/2021
Retrieval-guided Counterfactual Generation for QA
Deep NLP models have been shown to learn spurious correlations, leaving ...
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06/12/2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks
Many commonsense reasoning NLP tasks involve choosing between one or mor...
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05/14/2021
EASE: Extractive-Abstractive Summarization with Explanations
Current abstractive summarization systems outperform their extractive co...
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12/31/2020
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
Natural language (NL) explanations of model predictions are gaining popu...
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05/01/2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
Decisions of complex language understanding models can be rationalized b...
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08/31/2019
Entity Projection via Machine-Translation for Cross-Lingual NER
Although over 100 languages are supported by strong off-the-shelf machin...
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12/05/2018
Weighted Global Normalization for Multiple Choice ReadingComprehension over Long Documents
Motivated by recent evidence pointing out the fragility of high-performi...
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12/20/2016
