b'Wenhu Chen'

research

∙ 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 ...

0 Zihao Deng, et al. ∙

research

∙ 09/11/2023

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

We introduce MAmmoTH, a series of open-source large language models (LLM...

0 Xiang Yue, et al. ∙

research

∙ 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...

0 Yubo Wang, et al. ∙

research

∙ 06/29/2023

LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT

We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic ...

0 Le Zhuo, et al. ∙

research

∙ 06/22/2023

DreamEdit: Subject-driven Image Editing

Subject-driven image generation aims at generating images containing cus...

0 Tianle Li, et al. ∙

research

∙ 06/18/2023

MARBLE: Music Audio Representation Benchmark for Universal Evaluation

In the era of extensive intersection between art and Artificial Intellig...

4 Ruibin Yuan, et al. ∙

research

∙ 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...

0 Kai Zhang, et al. ∙

research

∙ 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...

2 Yizhi Li, et al. ∙

research

∙ 05/23/2023

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models

This paper investigates the capabilities of Large Language Models (LLMs)...

0 Alfonso Amayuelas, et al. ∙

research

∙ 05/23/2023

EDIS: Entity-Driven Image Search over Multimodal Web Content

Making image retrieval methods practical for real-world search applicati...

0 Siqi Liu, et al. ∙

research

∙ 05/22/2023

Interactive Natural Language Processing

Interactive Natural Language Processing (iNLP) has emerged as a novel pa...

3 Zekun Wang, et al. ∙

research

∙ 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...

0 Wenhu Chen, et al. ∙

research

∙ 05/02/2023

Few-shot In-context Learning for Knowledge Base Question Answering

Question answering over knowledge bases is considered a difficult proble...

0 Tianle Li, et al. ∙

research

∙ 04/01/2023

Subject-driven Text-to-Image Generation via Apprenticeship Learning

Recent text-to-image generation models like DreamBooth have made remarka...

0 Wenhu Chen, et al. ∙

research

∙ 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...

0 Wenhu Chen, et al. ∙

research

∙ 11/20/2022

Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models

Conditioned diffusion models have demonstrated state-of-the-art text-to-...

0 Xichen Pan, et al. ∙

research

∙ 10/13/2022

Explanations from Large Language Models Make Small Reasoners Better

Integrating free-text explanations to in-context learning of large langu...

12 Shiyang Li, et al. ∙

research

∙ 10/13/2022

Large Language Models are few(1)-shot Table Reasoners

Recent literature has shown that large language models (LLMs) are genera...

0 Wenhu Chen, et al. ∙

research

∙ 10/09/2022

Controllable Dialogue Simulation with In-Context Learning

Building dialogue systems requires a large corpus of annotated dialogues...

8 Zekun Li, et al. ∙

research

∙ 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...

0 Wenhu Chen, et al. ∙

research

∙ 09/29/2022

Re-Imagen: Retrieval-Augmented Text-to-Image Generator

Research on text-to-image generation has witnessed significant progress ...

0 Wenhu Chen, et al. ∙

research

∙ 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...

0 Wenhu Chen, et al. ∙

research

∙ 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...

0 Kai Nakamura, et al. ∙

research

∙ 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...

0 Wenhu Chen, et al. ∙

research

∙ 10/15/2021

ContraQA: Question Answering under Contradicting Contexts

With a rise in false, inaccurate, and misleading information in propagan...

0 Liangming Pan, et al. ∙

research

∙ 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...

7 Shiyang Li, et al. ∙

research

∙ 09/01/2021

FinQA: A Dataset of Numerical Reasoning over Financial Data

The sheer volume of financial statements makes it difficult for humans t...

0 Zhiyu Chen, et al. ∙

research

∙ 08/13/2021

A Dataset for Answering Time-Sensitive Questions

Time is an important dimension in our physical world. Lots of facts can ...

0 Wenhu Chen, et al. ∙

research

∙ 06/11/2021

Local Explanation of Dialogue Response Generation

In comparison to the interpretation of classification models, the explan...

12 Yi-Lin Tuan, et al. ∙

research

∙ 06/07/2021

Counterfactual Maximum Likelihood Estimation for Training Deep Networks

Although deep learning models have driven state-of-the-art performance o...

13 Xinyi Wang, et al. ∙

research

∙ 06/03/2021

A Systematic Investigation of KB-Text Embedding Alignment at Scale

Knowledge bases (KBs) and text often contain complementary knowledge: KB...

0 Vardaan Pahuja, et al. ∙

research

∙ 05/31/2021

Zero-shot Fact Verification by Claim Generation

Neural models for automated fact verification have achieved promising re...

0 Liangming Pan, et al. ∙

research

∙ 10/23/2020

Unsupervised Multi-hop Question Answering by Question Generation

Obtaining training data for Multi-hop Question Answering (QA) is extreme...

0 Liangming Pan, et al. ∙

research

∙ 10/20/2020

Open Question Answering over Tables and Text

In open question answering (QA), the answer to a question is produced by...

0 Wenhu Chen, et al. ∙

research

∙ 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...

0 Yilin Shen, et al. ∙

research

∙ 10/05/2020

KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation

Data-to-text generation has recently attracted substantial interests due...

0 Wenhu Chen, et al. ∙

research

∙ 04/30/2020

Logic2Text: High-Fidelity Natural Language Generation from Logical Forms

Previous works on Natural Language Generation (NLG) from structured data...

0 Zhiyu Chen, et al. ∙

research

∙ 04/22/2020

Logical Natural Language Generation from Open-Domain Tables

Neural natural language generation (NLG) models have recently shown rema...

3 Wenhu Chen, et al. ∙

research

∙ 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...

1 Wenhu Chen, et al. ∙

research

∙ 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...

17 Jingzhou Liu, et al. ∙

research

∙ 01/08/2020

Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs

Large-scale knowledge graphs (KGs) are shown to become more important in...

0 Pengda Qin, et al. ∙

research

∙ 10/08/2019

Meta Module Network for Compositional Visual Reasoning

There are two main lines of research on visual reasoning: neural module ...

0 Wenhu Chen, et al. ∙

research

∙ 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...

0 Wenhu Chen, et al. ∙

research

∙ 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...

3 Shiyang Li, et al. ∙

research

∙ 06/03/2019

Global Textual Relation Embedding for Relational Understanding

Pre-trained embeddings such as word embeddings and sentence embeddings a...

0 Zhiyu Chen, et al. ∙

research

∙ 05/30/2019

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention

Semantically controlled neural response generation on limited-domain has...

0 Wenhu Chen, et al. ∙

research

∙ 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...

0 Wenhu Chen, et al. ∙

research

∙ 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...

0 Wenhu Chen, et al. ∙

research

∙ 08/24/2018

Approximate Distribution Matching for Sequence-to-Sequence Learning

Sequence-to-Sequence models were introduced to tackle many real-life pro...

2 Wenhu Chen, et al. ∙

research

∙ 08/19/2018

XL-NBT: A Cross-lingual Neural Belief Tracking Framework

Task-oriented dialog systems are becoming pervasive, and many companies ...

0 Wenhu Chen, et al. ∙

Wenhu Chen

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