b'Dian Yu'

research

∙ 08/01/2023

Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models

We consider the problem of eliciting compositional generalization capabi...

0 Jiaao Chen, et al. ∙

research

∙ 07/16/2023

Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling

Modeling discourse – the linguistic phenomena that go beyond individual ...

0 Longyue Wang, et al. ∙

research

∙ 07/16/2023

MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning

Reasoning in mathematical domains remains a significant challenge for re...

0 Zhenwen Liang, et al. ∙

research

∙ 06/20/2023

Towards Understanding What Code Language Models Learned

Pre-trained language models are effective in a variety of natural langua...

0 Toufique Ahmed, et al. ∙

research

∙ 06/08/2023

Speech-to-Text Adapter and Speech-to-Entity Retriever Augmented LLMs for Speech Understanding

Large Language Models (LLMs) have been applied in the speech domain, oft...

0 Mingqiu Wang, et al. ∙

research

∙ 05/17/2023

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Language models are increasingly being deployed for general problem solv...

0 Shunyu Yao, et al. ∙

research

∙ 04/05/2023

Document-Level Machine Translation with Large Language Models

Large language models (LLMs) such as Chat-GPT can produce coherent, cohe...

0 Longyue Wang, et al. ∙

research

∙ 12/06/2022

ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion

Knowledge base completion (KBC) aims to predict the missing links in kno...

0 Pei Chen, et al. ∙

research

∙ 12/02/2022

NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization

Narrative summarization aims to produce a distilled version of a narrati...

0 Chao Zhao, et al. ∙

research

∙ 10/28/2022

Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models

Fully-parametric language models generally require a huge number of mode...

0 Xiaoman Pan, et al. ∙

research

∙ 10/13/2022

Knowledge-grounded Dialog State Tracking

Knowledge (including structured knowledge such as schema and ontology, a...

8 Dian Yu, et al. ∙

research

∙ 10/11/2022

Cross-Lingual Speaker Identification Using Distant Supervision

Speaker identification, determining which character said each utterance ...

0 Ben Zhou, et al. ∙

research

∙ 10/06/2022

ReAct: Synergizing Reasoning and Acting in Language Models

While large language models (LLMs) have demonstrated impressive capabili...

7 Shunyu Yao, et al. ∙

research

∙ 10/01/2022

Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks

Although large language models have achieved impressive zero-shot abilit...

5 Zhenhailong Wang, et al. ∙

research

∙ 07/31/2022

Using Chatbots to Teach Languages

This paper reports on progress towards building an online language learn...

0 Yu Li, et al. ∙

research

∙ 05/18/2022

Price Interpretability of Prediction Markets: A Convergence Analysis

Prediction markets are long known for prediction accuracy. However, ther...

0 Dian Yu, et al. ∙

research

∙ 05/09/2022

Unsupervised Slot Schema Induction for Task-oriented Dialog

Carefully-designed schemas describing how to collect and annotate dialog...

2 Dian Yu, et al. ∙

research

∙ 03/19/2022

Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension

Comprehending a dialogue requires a model to capture diverse kinds of ke...

0 Chao Zhao, et al. ∙

research

∙ 03/16/2022

C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References

We consider the problem of pretraining a two-stage open-domain question ...

0 Xiang Yue, et al. ∙

research

∙ 01/21/2022

Description-Driven Task-Oriented Dialog Modeling

Task-oriented dialogue (TOD) systems are required to identify key inform...

1 Jeffrey Zhao, et al. ∙

research

∙ 10/27/2021

Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories

Word Sense Disambiguation (WSD) aims to automatically identify the exact...

0 Wenlin Yao, et al. ∙

research

∙ 09/14/2021

Automatically Exposing Problems with Neural Dialog Models

Neural dialog models are known to suffer from problems such as generatin...

0 Dian Yu, et al. ∙

research

∙ 06/03/2021

Language Embeddings for Typology and Cross-lingual Transfer Learning

Cross-lingual language tasks typically require a substantial amount of a...

0 Dian Yu, et al. ∙

research

∙ 03/20/2021

Attribute Alignment: Controlling Text Generation from Pre-trained Language Models

Large language models benefit from training with a large amount of unlab...

0 Dian Yu, et al. ∙

research

∙ 02/01/2021

Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question Answering Data

In spite of much recent research in the area, it is still unclear whethe...

0 Dian Yu, et al. ∙

research

∙ 11/17/2020

Gunrock 2.0: A User Adaptive Social Conversational System

Gunrock 2.0 is built on top of Gunrock with an emphasis on user adaptati...

0 Kaihui Liang, et al. ∙

research

∙ 09/12/2020

Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge

In this paper, we aim to extract commonsense knowledge to improve machin...

0 Kai Sun, et al. ∙

research

∙ 08/22/2020

A Efficient Multimodal Framework for Large Scale Emotion Recognition by Fusing Music and Electrodermal Activity Signals

Considerable attention has been paid for physiological signal-based emot...

0 Guanghao Yin, et al. ∙

research

∙ 05/16/2020

Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension

In this paper, we study machine reading comprehension (MRC) on long text...

0 Hongyu Gong, et al. ∙

research

∙ 05/16/2020

Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehensio

In this paper, we study machine reading comprehension (MRC) on long text...

0 Hongyu Gong, et al. ∙

research

∙ 04/17/2020

Dialogue-Based Relation Extraction

We present the first human-annotated dialogue-based relation extraction ...

0 Dian Yu, et al. ∙

research

∙ 04/13/2020

CLUE: A Chinese Language Understanding Evaluation Benchmark

We introduce CLUE, a Chinese Language Understanding Evaluation benchmark...

0 Liang Xu, et al. ∙

research

∙ 01/24/2020

Exploration Based Language Learning for Text-Based Games

This work presents an exploration and imitation-learning-based agent cap...

27 Andrea Madotto, et al. ∙

research

∙ 11/25/2019

Filling Conversation Ellipsis for Better Social Dialog Understanding

The phenomenon of ellipsis is prevalent in social conversations. Ellipsi...

0 Xiyuan Zhang, et al. ∙

research

∙ 10/07/2019

Gunrock: A Social Bot for Complex and Engaging Long Conversations

Gunrock is the winner of the 2018 Amazon Alexa Prize, as evaluated by co...

0 Dian Yu, et al. ∙

research

∙ 09/26/2019

Improving Pre-Trained Multilingual Models with Vocabulary Expansion

Recently, pre-trained language models have achieved remarkable success i...

0 Hai Wang, et al. ∙

research

∙ 09/20/2019

Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach

Recently, pretrained language models (e.g., BERT) have achieved great su...

0 Shiyang Li, et al. ∙

research

∙ 09/07/2019

Dependency Parsing for Spoken Dialog Systems

Dependency parsing of conversational input can play an important role in...

0 Sam Davidson, et al. ∙

research

∙ 08/27/2019

MIDAS: A Dialog Act Annotation Scheme for Open Domain Human Machine Spoken Conversations

Dialog act prediction is an essential language comprehension task for bo...

0 Dian Yu, et al. ∙

research

∙ 08/10/2019

User independent Emotion Recognition with Residual Signal-Image Network

User independent emotion recognition with large scale physiological sign...

0 Guanghao Yin, et al. ∙

research

∙ 04/21/2019

Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension

With an ultimate goal of narrowing the gap between human and machine rea...

0 Kai Sun, et al. ∙

research

∙ 02/23/2019

Evidence Sentence Extraction for Machine Reading Comprehension

Recently remarkable success has been achieved in machine reading compreh...

0 Hai Wang, et al. ∙

research

∙ 02/03/2019

Improving Question Answering with External Knowledge

Prior background knowledge is essential for human reading and understand...

0 Xiaoman Pan, et al. ∙

research

∙ 02/01/2019

DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension

We present DREAM, the first dialogue-based multiple-choice reading compr...

0 Kai Sun, et al. ∙

research

∙ 10/31/2018

Improving Machine Reading Comprehension with General Reading Strategies

Reading strategies have been shown to improve comprehension levels, espe...

0 Kai Sun, et al. ∙

Dian Yu

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