research
∙
07/11/2023
Self-consistency for open-ended generations
In this paper, we present a novel approach for improving the quality and...
share
research
∙
07/05/2023
Exploring Continual Learning for Code Generation Models
Large-scale code generation models such as Codex and CodeT5 have achieve...
research
∙
02/13/2023
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark
We introduce STREET, a unified multi-task and multi-domain natural langu...
research
∙
10/03/2022
ContraGen: Effective Contrastive Learning For Causal Language Model
Despite exciting progress in large-scale language generation, the expres...
research
∙
05/18/2022
Debiasing Neural Retrieval via In-batch Balancing Regularization
People frequently interact with information retrieval (IR) systems, howe...
research
∙
05/18/2022
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner
Large language models have achieved high performance on various question...
research
∙
12/10/2021
Robust Information Retrieval for False Claims with Distracting Entities In Fact Extraction and Verification
Accurate evidence retrieval is essential for automated fact checking. Li...
research
∙
10/20/2021
Contrastive Document Representation Learning with Graph Attention Networks
Recent progress in pretrained Transformer-based language models has show...
research
∙
10/16/2021
Virtual Augmentation Supported Contrastive Learning of Sentence Representations
Despite profound successes, contrastive representation learning relies o...
research
∙
05/27/2021
Contrastive Fine-tuning Improves Robustness for Neural Rankers
The performance of state-of-the-art neural rankers can deteriorate subst...
research
∙
10/06/2020
Beyond [CLS] through Ranking by Generation
Generative models for Information Retrieval, where ranking of documents ...
research
∙
10/17/2019
Universal Text Representation from BERT: An Empirical Study
We present a systematic investigation of layer-wise BERT activations for...
research
∙
08/22/2019
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering
BERT model has been successfully applied to open-domain QA tasks. Howeve...
research
∙
05/15/2019
Passage Ranking with Weak Supervision
In this paper, we propose a weak supervision framework for neural rankin...
research
∙
05/15/2019
Passage Ranking with Weak Supervsion
In this paper, we propose a weak supervision framework for neural rankin...
research
∙
06/09/2018