b'Xingdi Yuan'

research

∙ 06/21/2023

Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference

We view large language models (LLMs) as stochastic language layers in a ...

0 Alessandro Sordoni, et al. ∙

research

∙ 05/21/2023

Augmenting Autotelic Agents with Large Language Models

Humans learn to master open-ended repertoires of skills by imagining and...

0 Cédric Colas, et al. ∙

research

∙ 05/15/2023

It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance

Progress in NLP is increasingly measured through benchmarks; hence, cont...

0 Arjun Subramonian, et al. ∙

research

∙ 04/17/2023

Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding

Qualitative analysis of textual contents unpacks rich and valuable infor...

0 Ziang Xiao, et al. ∙

research

∙ 02/10/2023

A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld

Building open-ended agents that can autonomously discover a diversity of...

0 Laetitia Teodorescu, et al. ∙

research

∙ 11/25/2022

GPT-3-driven pedagogical agents for training children's curious question-asking skills

Students' ability to ask curious questions is a crucial skill that impro...

0 Rania Abdelghani, et al. ∙

research

∙ 09/22/2022

Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation

Large Language Models (LLMs) have in recent years demonstrated impressiv...

2 Xingdi Yuan, et al. ∙

research

∙ 08/20/2022

General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation

Training keyphrase generation (KPG) models requires a large amount of an...

3 Rui Meng, et al. ∙

research

∙ 05/12/2022

Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language

To solve difficult tasks, humans ask questions to acquire knowledge from...

13 Iou-Jen Liu, et al. ∙

research

∙ 03/09/2022

One-Shot Learning from a Demonstration with Hierarchical Latent Language

Humans have the capability, aided by the expressive compositionality of ...

3 Nathaniel Weir, et al. ∙

research

∙ 08/31/2021

Interactive Machine Comprehension with Dynamic Knowledge Graphs

Interactive machine reading comprehension (iMRC) is machine comprehensio...

0 Xingdi Yuan, et al. ∙

research

∙ 05/31/2021

Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents

Faceted summarization provides briefings of a document from different pe...

9 Rui Meng, et al. ∙

research

∙ 10/08/2020

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Given a simple request (e.g., Put a washed apple in the kitchen fridge),...

10 Mohit Shridhar, et al. ∙

research

∙ 09/22/2020

An Empirical Study on Neural Keyphrase Generation

Recent years have seen a flourishing of neural keyphrase generation work...

0 Rui Meng, et al. ∙

research

∙ 06/24/2020

Graph Policy Network for Transferable Active Learning on Graphs

Graph neural networks (GNNs) have been attracting increasing popularity ...

25 Shengding Hu, et al. ∙

research

∙ 04/19/2020

Role-Wise Data Augmentation for Knowledge Distillation

Knowledge Distillation (KD) is a common method for transferring the “kno...

4 Jie Fu, et al. ∙

research

∙ 02/21/2020

Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games

Playing text-based games requires skill in processing natural language a...

0 Ashutosh Adhikari, et al. ∙

research

∙ 10/21/2019

Building Dynamic Knowledge Graphs from Text-based Games

We are interested in learning how to update Knowledge Graphs (KG) from t...

0 Mikuláš Zelinka, et al. ∙

research

∙ 09/11/2019

Interactive Fiction Games: A Colossal Adventure

A hallmark of human intelligence is the ability to understand and commun...

0 Matthew Hausknecht, et al. ∙

research

∙ 09/09/2019

Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence

Recently, concatenating multiple keyphrases as a target sequence has bee...

0 Rui Meng, et al. ∙

research

∙ 08/28/2019

Interactive Language Learning by Question Answering

Humans observe and interact with the world to acquire knowledge. However...

0 Xingdi Yuan, et al. ∙

research

∙ 08/27/2019

Interactive Machine Comprehension with Information Seeking Agents

Existing machine reading comprehension (MRC) models do not scale effecti...

5 Xingdi Yuan, et al. ∙

research

∙ 05/26/2019

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives

This paper tackles the problem of reading comprehension over long narrat...

8 Yi Tay, et al. ∙

research

∙ 12/03/2018

Towards Solving Text-based Games by Producing Adaptive Action Spaces

To solve a text-based game, an agent needs to formulate valid text comma...

0 Ruo Yu Tao, et al. ∙

research

∙ 10/12/2018

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension

We propose a neural machine-reading model that constructs dynamic knowle...

0 Rajarshi Das, et al. ∙

research

∙ 10/11/2018

Generating Diverse Numbers of Diverse Keyphrases

Existing keyphrase generation studies suffer from the problems of genera...

0 Xingdi Yuan, et al. ∙

research

∙ 06/29/2018

TextWorld: A Learning Environment for Text-based Games

We introduce TextWorld, a sandbox learning environment for the training ...

4 Marc-Alexandre Côté, et al. ∙

research

∙ 06/29/2018

Counting to Explore and Generalize in Text-based Games

We propose a recurrent RL agent with an episodic exploration mechanism t...

0 Xingdi Yuan, et al. ∙

research

∙ 12/28/2017

Rapid Adaptation with Conditionally Shifted Neurons

We describe a mechanism by which artificial neural networks can learn ra...

0 Tsendsuren Munkhdalai, et al. ∙

research

∙ 12/28/2017

Learning Rapid-Temporal Adaptations

A hallmark of human intelligence and cognition is its flexibility. One o...

0 Tsendsuren Munkhdalai, et al. ∙

research

∙ 06/14/2017

Neural Models for Key Phrase Detection and Question Generation

We propose a two-stage neural model to tackle question generation from d...

0 Sandeep Subramanian, et al. ∙

research

∙ 06/05/2017

A Joint Model for Question Answering and Question Generation

We propose a generative machine comprehension model that learns jointly ...

0 Tong Wang, et al. ∙

research

∙ 05/04/2017

Machine Comprehension by Text-to-Text Neural Question Generation

We propose a recurrent neural model that generates natural-language ques...

0 Xingdi Yuan, et al. ∙

research

∙ 11/29/2016

NewsQA: A Machine Comprehension Dataset

We present NewsQA, a challenging machine comprehension dataset of over 1...

0 Adam Trischler, et al. ∙

research

∙ 06/07/2016

Natural Language Comprehension with the EpiReader

We present the EpiReader, a novel model for machine comprehension of tex...

0 Adam Trischler, et al. ∙

research

∙ 03/29/2016

A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data

Understanding unstructured text is a major goal within natural language ...

0 Adam Trischler, et al. ∙

Xingdi Yuan

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