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08/17/2023
Do you really follow me? Adversarial Instructions for Evaluating the Robustness of Large Language Models
Large Language Models (LLMs) have shown remarkable proficiency in follow...
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06/12/2023
Augmenting Language Models with Long-Term Memory
Existing large language models (LLMs) can only afford fix-sized inputs d...
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06/07/2023
STEPS: A Benchmark for Order Reasoning in Sequential Tasks
Various human activities can be abstracted into a sequence of actions in...
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05/30/2023
Graph Reasoning for Question Answering with Triplet Retrieval
Answering complex questions often requires reasoning over knowledge grap...
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05/10/2023
Bot or Human? Detecting ChatGPT Imposters with A Single Question
Large language models like ChatGPT have recently demonstrated impressive...
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02/22/2023
Guiding Large Language Models via Directional Stimulus Prompting
We introduce a new framework, Directional Stimulus Prompting, that uses ...
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01/25/2023
Language Model Detoxification in Dialogue with Contextualized Stance Control
To reduce the toxic degeneration in a pretrained Language Model (LM), pr...
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10/13/2022
Explanations from Large Language Models Make Small Reasoners Better
Integrating free-text explanations to in-context learning of large langu...
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10/09/2022
Controllable Dialogue Simulation with In-Context Learning
Building dialogue systems requires a large corpus of annotated dialogues...
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08/29/2022
How to Teach: Learning Data-Free Knowledge Distillation from Curriculum
Data-free knowledge distillation (DFKD) aims at training lightweight stu...
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08/09/2022
Limitations of Language Models in Arithmetic and Symbolic Induction
Recent work has shown that large pretrained Language Models (LMs) can no...
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05/20/2022
Visually-Augmented Language Modeling
Human language is grounded on multimodal knowledge including visual know...
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09/14/2021
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding
Task-adaptive pre-training (TAPT) and Self-training (ST) have emerged as...
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07/14/2021
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation
Domain Adaptation has been widely used to deal with the distribution shi...
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06/05/2021
Lifelong Learning of Hate Speech Classification on Social Media
Existing work on automated hate speech classification assumes that the d...
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03/12/2021
Inductive Relation Prediction by BERT
Relation prediction in knowledge graphs is dominated by embedding based ...
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03/11/2021
Composite Re-Ranking for Efficient Document Search with BERT
Although considerable efforts have been devoted to transformer-based ran...
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03/10/2021
Cross-modal Image Retrieval with Deep Mutual Information Maximization
In this paper, we study the cross-modal image retrieval, where the input...
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02/13/2021
Attention-based Domain Adaptation for Time Series Forecasting
Recent years have witnessed deep neural networks gaining increasing popu...
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11/16/2020
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases
Existing studies on question answering on knowledge bases (KBQA) mainly ...
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10/25/2020
Inter-Series Attention Model for COVID-19 Forecasting
COVID-19 pandemic has an unprecedented impact all over the world since e...
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10/24/2020
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
Dialogue state trackers have made significant progress on benchmark data...
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10/05/2020
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation
Data-to-text generation has recently attracted substantial interests due...
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10/31/2019
Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning
Task-oriented dialog presents a difficult challenge encompassing multipl...
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10/21/2019
You May Not Need Order in Time Series Forecasting
Time series forecasting with limited data is a challenging yet critical ...
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06/29/2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Time series forecasting is an important problem across many domains, inc...
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06/03/2019
Global Textual Relation Embedding for Relational Understanding
Pre-trained embeddings such as word embeddings and sentence embeddings a...
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05/30/2019
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention
Semantically controlled neural response generation on limited-domain has...
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02/27/2019
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection
With the rapid development in deep learning, deep neural networks have b...
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08/19/2018
XL-NBT: A Cross-lingual Neural Belief Tracking Framework
Task-oriented dialog systems are becoming pervasive, and many companies ...
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03/17/2018
Variational Knowledge Graph Reasoning
Inferring missing links in knowledge graphs (KG) has attracted a lot of ...
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04/20/2017
Cross-domain Semantic Parsing via Paraphrasing
Existing studies on semantic parsing mainly focus on the in-domain setti...
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04/19/2017
Global Relation Embedding for Relation Extraction
Recent studies have shown that embedding textual relations using deep ne...
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11/18/2015
Behavior Query Discovery in System-Generated Temporal Graphs
Computer system monitoring generates huge amounts of logs that record th...
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11/09/2012
MaTrust: An Effective Multi-Aspect Trust Inference Model
Trust is a fundamental concept in many real-world applications such as e...
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10/12/2012