Jungo Kasai | DeepAI

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∙ 06/12/2023

Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence

Better understanding of Large Language Models' (LLMs) legal analysis abi...

0 John J. Nay, et al. ∙

∙ 03/31/2023

Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations

As large language models (LLMs) gain popularity among speakers of divers...

0 Jungo Kasai, et al. ∙

∙ 01/19/2023

Batch Prompting: Efficient Inference with Large Language Model APIs

Performing inference on hundreds of thousands of samples with large lang...

0 Zhoujun Cheng, et al. ∙

∙ 01/11/2023

NarrowBERT: Accelerating Masked Language Model Pretraining and Inference

Large-scale language model pretraining is a very successful form of self...

0 Haoxin Li, et al. ∙

∙ 12/19/2022

BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting

The BLOOM model is a large open-source multilingual language model capab...

16 Zheng Xin Yong, et al. ∙

∙ 11/07/2022

How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers

The attention mechanism is considered the backbone of the widely-used Tr...

0 Michael Hassid, et al. ∙

∙ 10/06/2021

ABC: Attention with Bounded-memory Control

Transformer architectures have achieved state-of-the-art results on a va...

0 Hao Peng, et al. ∙

∙ 07/26/2021

One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval

We present CORA, a Cross-lingual Open-Retrieval Answer Generation model ...

8 Akari Asai, et al. ∙

∙ 03/24/2021

Finetuning Pretrained Transformers into RNNs

Transformers have outperformed recurrent neural networks (RNNs) in natur...

14 Jungo Kasai, et al. ∙

∙ 01/17/2021

GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation

Leaderboards have eased model development for many NLP datasets by stand...

7 Daniel Khashabi, et al. ∙

∙ 10/22/2020

XOR QA: Cross-lingual Open-Retrieval Question Answering

Multilingual question answering tasks typically assume answers exist in ...

9 Akari Asai, et al. ∙

∙ 06/18/2020

Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation

State-of-the-art neural machine translation models generate outputs auto...

0 Jungo Kasai, et al. ∙

∙ 01/15/2020

Parallel Machine Translation with Disentangled Context Transformer

State-of-the-art neural machine translation models generate a translatio...

0 Jungo Kasai, et al. ∙

∙ 09/19/2019

Low-Resource Parsing with Crosslingual Contextualized Representations

Despite advances in dependency parsing, languages with small treebanks s...

0 Phoebe Mulcaire, et al. ∙

∙ 09/04/2019

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks

Scientific article summarization is challenging: large, annotated corpor...

0 Michihiro Yasunaga, et al. ∙

∙ 09/04/2019

ScisummNet: A Large Annotated Dataset and Content-Impact Models for Scientific Paper Summarization with Citation Networks

Scientific article summarization is challenging: large, annotated corpor...

0 Michihiro Yasunaga, et al. ∙

∙ 06/17/2019

Low-resource Deep Entity Resolution with Transfer and Active Learning

Entity resolution (ER) is the task of identifying different representati...

0 Jungo Kasai, et al. ∙

∙ 03/12/2019

Syntax-aware Neural Semantic Role Labeling with Supertags

We introduce a new syntax-aware model for dependency-based semantic role...

0 Jungo Kasai, et al. ∙

∙ 02/26/2019

Polyglot Contextual Representations Improve Crosslingual Transfer

We introduce a method to produce multilingual contextual word representa...

0 Phoebe Mulcaire, et al. ∙

∙ 04/18/2018

End-to-end Graph-based TAG Parsing with Neural Networks

We present a graph-based Tree Adjoining Grammar (TAG) parser that uses B...

0 Jungo Kasai, et al. ∙

∙ 11/14/2017

Robust Multilingual Part-of-Speech Tagging via Adversarial Training

Adversarial training (AT) is a powerful regularization method for neural...

0 Michihiro Yasunaga, et al. ∙

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