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09/15/2023
MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response
Large Language Models (LLMs) have shown immense potential in multimodal ...
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09/11/2023
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
We introduce MAmmoTH, a series of open-source large language models (LLM...
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09/05/2023
Augmenting Black-box LLMs with Medical Textbooks for Clinical Question Answering
Large-scale language models (LLMs), such as ChatGPT, are capable of gene...
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06/29/2023
LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT
We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic ...
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06/22/2023
DreamEdit: Subject-driven Image Editing
Subject-driven image generation aims at generating images containing cus...
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06/18/2023
MARBLE: Music Audio Representation Benchmark for Universal Evaluation
In the era of extensive intersection between art and Artificial Intellig...
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06/16/2023
MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing
Text-guided image editing is widely needed in daily life, ranging from p...
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05/31/2023
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Self-supervised learning (SSL) has recently emerged as a promising parad...
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05/23/2023
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
This paper investigates the capabilities of Large Language Models (LLMs)...
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05/23/2023
EDIS: Entity-Driven Image Search over Multimodal Web Content
Making image retrieval methods practical for real-world search applicati...
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05/22/2023
Interactive Natural Language Processing
Interactive Natural Language Processing (iNLP) has emerged as a novel pa...
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05/21/2023
TheoremQA: A Theorem-driven Question Answering dataset
The recent LLMs like GPT-4 and PaLM-2 have made tremendous progress in s...
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05/02/2023
Few-shot In-context Learning for Knowledge Base Question Answering
Question answering over knowledge bases is considered a difficult proble...
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04/01/2023
Subject-driven Text-to-Image Generation via Apprenticeship Learning
Recent text-to-image generation models like DreamBooth have made remarka...
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11/22/2022
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Recently, there has been significant progress in teaching language model...
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11/20/2022
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
Conditioned diffusion models have demonstrated state-of-the-art text-to-...
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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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10/13/2022
Large Language Models are few(1)-shot Table Reasoners
Recent literature has shown that large language models (LLMs) are genera...
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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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10/06/2022
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
While language Models store a massive amount of world knowledge implicit...
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09/29/2022
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Research on text-to-image generation has witnessed significant progress ...
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07/01/2022
QA Is the New KR: Question-Answer Pairs as Knowledge Bases
In this position paper, we propose a new approach to generating a type o...
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04/28/2022
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data
A pressing challenge in current dialogue systems is to successfully conv...
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04/10/2022
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering
Retrieval augmented language models have recently become the standard fo...
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10/15/2021
ContraQA: Question Answering under Contradicting Contexts
With a rise in false, inaccurate, and misleading information in propagan...
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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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09/01/2021
FinQA: A Dataset of Numerical Reasoning over Financial Data
The sheer volume of financial statements makes it difficult for humans t...
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08/13/2021
A Dataset for Answering Time-Sensitive Questions
Time is an important dimension in our physical world. Lots of facts can ...
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06/11/2021
Local Explanation of Dialogue Response Generation
In comparison to the interpretation of classification models, the explan...
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06/07/2021
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
Although deep learning models have driven state-of-the-art performance o...
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06/03/2021
A Systematic Investigation of KB-Text Embedding Alignment at Scale
Knowledge bases (KBs) and text often contain complementary knowledge: KB...
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05/31/2021
Zero-shot Fact Verification by Claim Generation
Neural models for automated fact verification have achieved promising re...
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10/23/2020
Unsupervised Multi-hop Question Answering by Question Generation
Obtaining training data for Multi-hop Question Answering (QA) is extreme...
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10/20/2020
Open Question Answering over Tables and Text
In open question answering (QA), the answer to a question is produced by...
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10/16/2020
Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN
One major task of spoken language understanding (SLU) in modern personal...
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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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04/30/2020
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms
Previous works on Natural Language Generation (NLG) from structured data...
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04/22/2020
Logical Natural Language Generation from Open-Domain Tables
Neural natural language generation (NLG) models have recently shown rema...
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04/15/2020
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
Existing question answering datasets focus on dealing with homogeneous i...
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03/25/2020
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference
We introduce a new task, Video-and-Language Inference, for joint multimo...
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01/08/2020
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
Large-scale knowledge graphs (KGs) are shown to become more important in...
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10/08/2019
Meta Module Network for Compositional Visual Reasoning
There are two main lines of research on visual reasoning: neural module ...
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09/05/2019
TabFact: A Large-scale Dataset for Table-based Fact Verification
The problem of verifying whether a textual hypothesis holds the truth ba...
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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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11/18/2018
Enhancing the Robustness of Prior Network in Out-of-Distribution Detection
With the recent surge of interests in deep neural networks, more real-wo...
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08/24/2018
Approximate Distribution Matching for Sequence-to-Sequence Learning
Sequence-to-Sequence models were introduced to tackle many real-life pro...
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08/19/2018