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07/20/2023
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
Evaluation of Large Language Models (LLMs) is challenging because aligni...
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07/05/2023
Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment
Dense video captioning, a task of localizing meaningful moments and gene...
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06/12/2023
Gradient Ascent Post-training Enhances Language Model Generalization
In this work, we empirically show that updating pretrained LMs (350M, 1....
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05/31/2023
A Bayesian Perspective On Training Data Attribution
Training data attribution (TDA) techniques find influential training dat...
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05/27/2023
Continually Updating Generative Retrieval on Dynamic Corpora
Generative retrieval has recently been gaining a lot of attention from t...
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05/24/2023
Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis
Large Language Models (LLMs) have demonstrated great capabilities in sol...
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05/23/2023
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
Large Language Models (LLMs) have shown enhanced capabilities of solving...
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05/23/2023
Effortless Integration of Memory Management into Open-Domain Conversation Systems
Open-domain conversation systems integrate multiple conversation skills ...
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05/23/2023
Aligning Large Language Models through Synthetic Feedback
Aligning large language models (LLMs) to human values has become increas...
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02/28/2023
In-Context Instruction Learning
Instruction learning of Large Language Models (LLMs) has enabled zero-sh...
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02/07/2023
Exploring the Benefits of Training Expert Language Models over Instruction Tuning
Recently, Language Models (LMs) instruction-tuned on multiple tasks, als...
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01/30/2023
REPLUG: Retrieval-Augmented Black-Box Language Models
We introduce REPLUG, a retrieval-augmented language modeling framework t...
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01/27/2023
Semi-Parametric Video-Grounded Text Generation
Efficient video-language modeling should consider the computational cost...
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11/03/2022
Data-efficient End-to-end Information Extraction for Statistical Legal Analysis
Legal practitioners often face a vast amount of documents. Lawyers, for ...
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10/25/2022
Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation
Research on Korean grammatical error correction (GEC) is limited compare...
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10/06/2022
Retrieval of Soft Prompt Enhances Zero-Shot Task Generalization
During zero-shot inference with language models (LMs), using hard prompt...
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10/06/2022
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
Meta-training, which fine-tunes the language model (LM) on various downs...
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10/05/2022
Contextualized Generative Retrieval
The text retrieval task is mainly performed in two ways: the bi-encoder ...
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10/04/2022
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Pretrained Language Models (LMs) memorize a vast amount of knowledge dur...
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09/26/2022
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts
Previous work has shown that there exists a scaling law between the size...
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06/10/2022
A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction
The recent advances of deep learning have dramatically changed how machi...
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05/24/2022
Beyond Fact Verification: Comparing and Contrasting Claims on Contentious Topics
As the importance of identifying misinformation is increasing, many rese...
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04/29/2022
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
Language Models (LMs) become outdated as the world changes; they often f...
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04/27/2022
Generative Multi-hop Retrieval
Multi-hop retrieval is the task of retrieving a series of multiple docum...
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02/23/2022
Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching
Semi-structured query systems for document-oriented databases have many ...
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10/11/2021
ViSeRet: A simple yet effective approach to moment retrieval via fine-grained video segmentation
Video-text retrieval has many real-world applications such as media anal...
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10/07/2021
Towards Continual Knowledge Learning of Language Models
Large Language Models (LMs) are known to encode world knowledge in their...
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04/16/2021
Cost-effective End-to-end Information Extraction for Semi-structured Document Images
A real-world information extraction (IE) system for semi-structured docu...
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04/15/2021
Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering
In open-domain question answering (QA), retrieve-and-read mechanism has ...
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01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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10/21/2020
Is Retriever Merely an Approximator of Reader?
The state of the art in open-domain question answering (QA) relies on an...
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05/01/2020
Syntactic Question Abstraction and Retrieval for Data-Scarce Semantic Parsing
Deep learning approaches to semantic parsing require a large amount of l...
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05/01/2020
Spatial Dependency Parsing for 2D Document Understanding
Information Extraction (IE) for document images is often approached as a...
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11/07/2019
Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering
A sparse representation is known to be an effective means to encode prec...
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10/22/2019
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension
We present the results of the Machine Reading for Question Answering (MR...
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09/04/2019
Mixture Content Selection for Diverse Sequence Generation
Generating diverse sequences is important in many NLP applications such ...
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06/13/2019
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
Existing open-domain question answering (QA) models are not suitable for...
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02/04/2019
A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization
WikiSQL is the task of mapping a natural language question to a SQL quer...
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04/20/2018
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension
The current trend of extractive question answering (QA) heavily relies o...
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11/06/2017
Neural Speed Reading via Skim-RNN
Inspired by the principles of speed reading, we introduce Skim-RNN, a re...
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06/13/2017
Zero-Shot Relation Extraction via Reading Comprehension
We show that relation extraction can be reduced to answering simple read...
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02/07/2017
Question Answering through Transfer Learning from Large Fine-grained Supervision Data
We show that the task of question answering (QA) can significantly benef...
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11/05/2016
Bidirectional Attention Flow for Machine Comprehension
Machine comprehension (MC), answering a query about a given context para...
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06/14/2016
Query-Reduction Networks for Question Answering
In this paper, we study the problem of question answering when reasoning...
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03/24/2016
