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08/01/2023
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models
We consider the problem of eliciting compositional generalization capabi...
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07/16/2023
Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling
Modeling discourse – the linguistic phenomena that go beyond individual ...
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07/16/2023
MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning
Reasoning in mathematical domains remains a significant challenge for re...
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06/20/2023
Towards Understanding What Code Language Models Learned
Pre-trained language models are effective in a variety of natural langua...
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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...
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05/17/2023
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Language models are increasingly being deployed for general problem solv...
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04/05/2023
Document-Level Machine Translation with Large Language Models
Large language models (LLMs) such as Chat-GPT can produce coherent, cohe...
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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...
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12/02/2022
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization
Narrative summarization aims to produce a distilled version of a narrati...
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10/28/2022
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
Fully-parametric language models generally require a huge number of mode...
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10/13/2022
Knowledge-grounded Dialog State Tracking
Knowledge (including structured knowledge such as schema and ontology, a...
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10/11/2022
Cross-Lingual Speaker Identification Using Distant Supervision
Speaker identification, determining which character said each utterance ...
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10/06/2022
ReAct: Synergizing Reasoning and Acting in Language Models
While large language models (LLMs) have demonstrated impressive capabili...
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10/01/2022
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks
Although large language models have achieved impressive zero-shot abilit...
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07/31/2022
Using Chatbots to Teach Languages
This paper reports on progress towards building an online language learn...
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05/18/2022
Price Interpretability of Prediction Markets: A Convergence Analysis
Prediction markets are long known for prediction accuracy. However, ther...
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05/09/2022
Unsupervised Slot Schema Induction for Task-oriented Dialog
Carefully-designed schemas describing how to collect and annotate dialog...
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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...
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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 ...
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01/21/2022
Description-Driven Task-Oriented Dialog Modeling
Task-oriented dialogue (TOD) systems are required to identify key inform...
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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...
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09/14/2021
Automatically Exposing Problems with Neural Dialog Models
Neural dialog models are known to suffer from problems such as generatin...
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06/03/2021
Language Embeddings for Typology and Cross-lingual Transfer Learning
Cross-lingual language tasks typically require a substantial amount of a...
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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...
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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...
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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...
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09/12/2020
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge
In this paper, we aim to extract commonsense knowledge to improve machin...
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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...
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05/16/2020
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension
In this paper, we study machine reading comprehension (MRC) on long text...
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05/16/2020
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehensio
In this paper, we study machine reading comprehension (MRC) on long text...
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04/17/2020
Dialogue-Based Relation Extraction
We present the first human-annotated dialogue-based relation extraction ...
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04/13/2020
CLUE: A Chinese Language Understanding Evaluation Benchmark
We introduce CLUE, a Chinese Language Understanding Evaluation benchmark...
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01/24/2020
Exploration Based Language Learning for Text-Based Games
This work presents an exploration and imitation-learning-based agent cap...
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11/25/2019
Filling Conversation Ellipsis for Better Social Dialog Understanding
The phenomenon of ellipsis is prevalent in social conversations. Ellipsi...
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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...
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09/26/2019
Improving Pre-Trained Multilingual Models with Vocabulary Expansion
Recently, pre-trained language models have achieved remarkable success i...
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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...
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09/07/2019
Dependency Parsing for Spoken Dialog Systems
Dependency parsing of conversational input can play an important role in...
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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...
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08/10/2019
User independent Emotion Recognition with Residual Signal-Image Network
User independent emotion recognition with large scale physiological sign...
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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...
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02/23/2019
Evidence Sentence Extraction for Machine Reading Comprehension
Recently remarkable success has been achieved in machine reading compreh...
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02/03/2019
Improving Question Answering with External Knowledge
Prior background knowledge is essential for human reading and understand...
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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...
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10/31/2018