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08/28/2023
Reinforcement Learning for Generative AI: A Survey
Deep Generative AI has been a long-standing essential topic in the machi...
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08/22/2023
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems
Reinforcement learning serves as a potent tool for modeling dynamic user...
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08/19/2023
Large Language Models as Zero-Shot Conversational Recommenders
In this paper, we present empirical studies on conversational recommenda...
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08/07/2023
Learning Concise and Descriptive Attributes for Visual Recognition
Recent advances in foundation models present new opportunities for inter...
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07/05/2023
Comparing Apples to Apples: Generating Aspect-Aware Comparative Sentences from User Reviews
It is time-consuming to find the best product among many similar alterna...
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06/26/2023
LongCoder: A Long-Range Pre-trained Language Model for Code Completion
In this paper, we introduce a new task for code completion that focuses ...
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06/16/2023
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models
Recent work has studied text-to-audio synthesis using large amounts of p...
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06/05/2023
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
Large Language Models (LLMs) have greatly advanced code auto-completion ...
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06/04/2023
Generative Flow Network for Listwise Recommendation
Personalized recommender systems fulfill the daily demands of customers ...
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05/23/2023
Text Is All You Need: Learning Language Representations for Sequential Recommendation
Sequential recommendation aims to model dynamic user behavior from histo...
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05/15/2023
Large Language Models are Zero-Shot Rankers for Recommender Systems
Recently, large language models (LLMs) (e.g. GPT-4) have demonstrated im...
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05/15/2023
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion
Sharing medical reports is essential for patient-centered care. A recent...
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04/04/2023
Unsupervised Improvement of Factual Knowledge in Language Models
Masked language modeling (MLM) plays a key role in pretraining large lan...
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04/03/2023
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data
Chat models, such as ChatGPT, have shown impressive capabilities and hav...
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03/15/2023
Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization
We present Mirror, an open-source platform for data exploration and anal...
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02/06/2023
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
Open vocabulary models (e.g. CLIP) have shown strong performance on zero...
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01/11/2023
Data Distillation: A Survey
The popularity of deep learning has led to the curation of a vast number...
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12/19/2022
Synthetic Pre-Training Tasks for Neural Machine Translation
Pre-training is an effective technique for ensuring robust performance o...
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12/14/2022
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos
Recent years have seen progress beyond domain-specific sound separation ...
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10/22/2022
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Recently, the generality of natural language text has been leveraged to ...
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10/21/2022
InforMask: Unsupervised Informative Masking for Language Model Pretraining
Masked language modeling is widely used for pretraining large language m...
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10/21/2022
Efficiently Tuned Parameters are Task Embeddings
Intermediate-task transfer can benefit a wide range of NLP tasks with pr...
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10/14/2022
Controlling Bias Exposure for Fair Interpretable Predictions
Recent work on reducing bias in NLP models usually focuses on protecting...
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10/14/2022
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions
Debiasing methods in NLP models traditionally focus on isolating informa...
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10/11/2022
CLIP also Understands Text: Prompting CLIP for Phrase Understanding
Contrastive Language-Image Pretraining (CLIP) efficiently learns visual ...
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09/28/2022
UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation
Personalized natural language generation for explainable recommendations...
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09/12/2022
On Faithfulness and Coherence of Language Explanations for Recommendation Systems
Reviews contain rich information about product characteristics and user ...
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09/12/2022
Factual and Informative Review Generation for Explainable Recommendation
Recent models can generate fluent and grammatical synthetic reviews whil...
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09/07/2022
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments
Choral music separation refers to the task of extracting tracks of voice...
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08/20/2022
Representing Knowledge by Spans: A Knowledge-Enhanced Model for Information Extraction
Knowledge-enhanced pre-trained models for language representation have b...
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08/10/2022
Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis
Recent advances in recommender systems have proved the potential of Rein...
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08/07/2022
Generating Negative Samples for Sequential Recommendation
To make Sequential Recommendation (SR) successful, recent works focus on...
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07/26/2022
Bundle MCR: Towards Conversational Bundle Recommendation
Bundle recommender systems recommend sets of items (e.g., pants, shirt, ...
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07/25/2022
Contrastive Learning for Interactive Recommendation in Fashion
Recommender systems and search are both indispensable in facilitating pe...
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07/14/2022
Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments
Existing approaches for generating multitrack music with transformer mod...
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06/30/2022
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations
Existing explanation models generate only text for recommendations but s...
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06/03/2022
Infinite Recommendation Networks: A Data-Centric Approach
We leverage the Neural Tangent Kernel and its equivalence to training in...
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05/05/2022
Assistive Recipe Editing through Critiquing
There has recently been growing interest in the automatic generation of ...
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04/28/2022
Instilling Type Knowledge in Language Models via Multi-Task QA
Understanding human language often necessitates understanding entities a...
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04/13/2022
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification
Prompt-based learning (i.e., prompting) is an emerging paradigm for expl...
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04/05/2022
FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes
Deepfakes and manipulated media are becoming a prominent threat due to t...
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04/04/2022
Coarse-to-Fine Sparse Sequential Recommendation
Sequential recommendation aims to model dynamic user behavior from histo...
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03/22/2022
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection
A limitation of current neural dialog models is that they tend to suffer...
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03/11/2022
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval
In this paper, we propose LaPraDoR, a pretrained dual-tower dense retrie...
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03/06/2022
Leashing the Inner Demons: Self-Detoxification for Language Models
Language models (LMs) can reproduce (or amplify) toxic language seen dur...
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02/27/2022
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining
High-quality phrase representations are essential to finding topics and ...
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02/15/2022
A Survey on Model Compression for Natural Language Processing
With recent developments in new architectures like Transformer and pretr...
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02/15/2022
A Survey on Dynamic Neural Networks for Natural Language Processing
Effectively scaling large Transformer models is a main driver of recent ...
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02/12/2022
Deep Performer: Score-to-Audio Music Performance Synthesis
Music performance synthesis aims to synthesize a musical score into a na...
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02/06/2022