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09/14/2023
Ambiguity-Aware In-Context Learning with Large Language Models
In-context learning (ICL) i.e. showing LLMs only a few task-specific dem...
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05/19/2023
Exploring the Viability of Synthetic Query Generation for Relevance Prediction
Query-document relevance prediction is a critical problem in Information...
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12/21/2022
How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling?
Text-to-text generation models have increasingly become the go-to soluti...
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09/29/2022
GROOT: Corrective Reward Optimization for Generative Sequential Labeling
Sequential labeling is a fundamental NLP task, forming the backbone of m...
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07/05/2022
Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control
Abstractive summarization systems leveraging pre-training language model...
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05/18/2022
Modeling Multi-hop Question Answering as Single Sequence Prediction
Fusion-in-decoder (Fid) (Izacard and Grave, 2020) is a generative questi...
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05/17/2022
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval
Aligning parallel sentences in multilingual corpora is essential to cura...
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03/16/2022
Transforming Sequence Tagging Into A Seq2Seq Task
Pretrained, large, generative language models (LMs) have had great succe...
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03/14/2022
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering
While both extractive and generative readers have been successfully appl...
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10/28/2021
Dense Hierarchical Retrieval for Open-Domain Question Answering
Dense neural text retrieval has achieved promising results on open-domai...
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10/08/2021
Field Extraction from Forms with Unlabeled Data
We propose a novel framework to conduct field extraction from forms with...
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09/17/2021
RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering
Existing KBQA approaches, despite achieving strong performance on i.i.d....
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06/08/2021
Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection
Pretrained Transformer-based models were reported to be robust in intent...
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04/26/2021
Focused Attention Improves Document-Grounded Generation
Document grounded generation is the task of using the information provid...
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03/10/2021
Causal-aware Safe Policy Improvement for Task-oriented dialogue
The recent success of reinforcement learning's (RL) in solving complex t...
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12/28/2020
Neural Text Generation with Artificial Negative Examples
Neural text generation models conditioning on given input (e.g. machine ...
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10/25/2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
Intent detection is one of the core components of goal-oriented dialog s...
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10/24/2020
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
Dialogue state trackers have made significant progress on benchmark data...
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06/24/2020
A High-Quality Multilingual Dataset for Structured Documentation Translation
This paper presents a high-quality multilingual dataset for the document...
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06/17/2020
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization
The COVID-19 global pandemic has resulted in international efforts to un...
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02/27/2020
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT
There is an increasing amount of literature that claims the brittleness ...
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11/24/2019
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
Answering questions that require multi-hop reasoning at web-scale necess...
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10/08/2019
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking
Dialog State Tracking (DST) is a core component in task-oriented dialog ...
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09/10/2018
Multilingual Extractive Reading Comprehension by Runtime Machine Translation
Existing end-to-end neural network models for extractive Reading Compreh...
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09/05/2018
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction
A major obstacle in reinforcement learning-based sentence generation is ...
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02/08/2017
Neural Machine Translation with Source-Side Latent Graph Parsing
This paper presents a novel neural machine translation model which joint...
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11/05/2016
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Transfer and multi-task learning have traditionally focused on either a ...
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07/01/2016
Domain Adaptation for Neural Networks by Parameter Augmentation
We propose a simple domain adaptation method for neural networks in a su...
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03/19/2016
Tree-to-Sequence Attentional Neural Machine Translation
Most of the existing Neural Machine Translation (NMT) models focus on th...
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03/19/2016
Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings
We present a novel method for jointly learning compositional and non-com...
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02/28/2015