b'Kai-Wei Chang'

research

∙ 06/03/2023

SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts

Large language models (LLMs) have gained considerable attention for Arti...

0 Haibin Wu, et al. ∙

research

∙ 06/02/2023

MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models

Large-scale language models have shown the ability to adapt to a new tas...

0 Masoud Monajatipoor, et al. ∙

research

∙ 05/31/2023

Red Teaming Language Model Detectors with Language Models

The prevalence and high capacity of large language models (LLMs) present...

0 Zhouxing Shi, et al. ∙

research

∙ 05/30/2023

MiniSUPERB: Lightweight Benchmark for Self-supervised Speech Models

Self-supervised learning (SSL) is a popular research topic in speech pro...

0 Yu-Hsiang Wang, et al. ∙

research

∙ 05/26/2023

PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation

Syntactically controlled paraphrase generation requires language models ...

0 Yixin Wan, et al. ∙

research

∙ 05/26/2023

ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression

Noise suppression (NS) models have been widely applied to enhance speech...

0 Yixin Wan, et al. ∙

research

∙ 05/26/2023

ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation

Paraphrase generation is a long-standing task in natural language proces...

5 Kuan-Hao Huang, et al. ∙

research

∙ 05/24/2023

Text encoders are performance bottlenecks in contrastive vision-language models

Performant vision-language (VL) models like CLIP represent captions usin...

0 Amita Kamath, et al. ∙

research

∙ 05/23/2023

Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation

Instruction tuning has emerged to enhance the capabilities of large lang...

0 Da Yin, et al. ∙

research

∙ 05/17/2023

"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation

Transgender and non-binary (TGNB) individuals disproportionately experie...

1 Anaelia Ovalle, et al. ∙

research

∙ 03/27/2023

KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems

Despite the significant advancements in keyphrase extraction and keyphra...

0 Di Wu, et al. ∙

research

∙ 03/23/2023

CoBIT: A Contrastive Bi-directional Image-Text Generation Model

The field of vision and language has witnessed a proliferation of pre-tr...

0 Haoxuan You, et al. ∙

research

∙ 03/16/2023

Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness

Intersectionality is a critical framework that, through inquiry and prax...

0 Anaelia Ovalle, et al. ∙

research

∙ 03/06/2023

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning

Multimodal contrastive pretraining has been used to train multimodal rep...

0 Hritik Bansal, et al. ∙

research

∙ 03/01/2023

SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks

Prompt tuning is a technology that tunes a small set of parameters to st...

0 Kai-Wei Chang, et al. ∙

research

∙ 02/28/2023

Semantic Strengthening of Neuro-Symbolic Learning

Numerous neuro-symbolic approaches have recently been proposed typically...

0 Kareem Ahmed, et al. ∙

research

∙ 02/24/2023

Ensemble knowledge distillation of self-supervised speech models

Distilled self-supervised models have shown competitive performance and ...

0 Kuan-Po Huang, et al. ∙

research

∙ 01/05/2023

GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods

A key goal for the advancement of AI is to develop technologies that ser...

0 Da Yin, et al. ∙

research

∙ 12/20/2022

A Survey of Deep Learning for Mathematical Reasoning

Mathematical reasoning is a fundamental aspect of human intelligence and...

12 Pan Lu @ UCLA, et al. ∙

research

∙ 12/20/2022

Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study

Neural models that do not rely on pre-training have excelled in the keyp...

0 Di Wu, et al. ∙

research

∙ 12/20/2022

PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English

Privacy policies provide individuals with information about their rights...

0 Jianfeng Chi, et al. ∙

research

∙ 12/14/2022

Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding

From a visual scene containing multiple people, human is able to disting...

0 Haoxuan You, et al. ∙

research

∙ 12/10/2022

REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory

In this paper, we propose an end-to-end Retrieval-Augmented Visual Langu...

0 Ziniu Hu, et al. ∙

research

∙ 11/17/2022

Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models

Natural language often contains ambiguities that can lead to misinterpre...

5 Ninareh Mehrabi, et al. ∙

research

∙ 11/16/2022

Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN

Auditing machine learning-based (ML) healthcare tools for bias is critic...

25 Anaelia Ovalle, et al. ∙

research

∙ 11/15/2022

Empowering Language Models with Knowledge Graph Reasoning for Question Answering

Answering open-domain questions requires world knowledge about in-contex...

0 Ziniu Hu, et al. ∙

research

∙ 11/10/2022

Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense

Visual commonsense understanding requires Vision Language (VL) models to...

0 Zhecan Wang, et al. ∙

research

∙ 11/02/2022

Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations

Syntactically controlled paraphrase generation has become an emerging re...

5 Kuan-Hao Huang, et al. ∙

research

∙ 10/28/2022

Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers

Large pre-trained language models have shown remarkable performance over...

2 Jieyu Zhao, et al. ∙

research

∙ 10/27/2022

How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?

Text-to-image generative models have achieved unprecedented success in g...

0 Hritik Bansal, et al. ∙

research

∙ 10/22/2022

ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation

Adversarial Examples Detection (AED) is a crucial defense technique agai...

0 Fan Yin, et al. ∙

research

∙ 10/18/2022

The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks

How reliably can we trust the scores obtained from social bias benchmark...

0 Nikil Roashan Selvam, et al. ∙

research

∙ 10/16/2022

SUPERB @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning

We present the SUPERB challenge at SLT 2022, which aims at learning self...

0 Tzu-hsun Feng, et al. ∙

research

∙ 10/14/2022

Watermarking Pre-trained Language Models with Backdooring

Large pre-trained language models (PLMs) have proven to be a crucial com...

0 Chenxi Gu, et al. ∙

research

∙ 10/07/2022

An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation

Several prior works have shown that language models (LMs) can generate t...

8 Jwala Dhamala, et al. ∙

research

∙ 09/23/2022

MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier

We offer a method for one-shot image synthesis that allows controlling m...

0 Mozhdeh Rouhsedaghat, et al. ∙

research

∙ 09/20/2022

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering

When answering a question, humans utilize the information available acro...

73 Pan Lu @ UCLA, et al. ∙

research

∙ 06/11/2022

Improving the Adversarial Robustness of NLP Models by Information Bottleneck

Existing studies have demonstrated that adversarial examples can be dire...

0 Cenyuan Zhang, et al. ∙

research

∙ 06/01/2022

Semantic Probabilistic Layers for Neuro-Symbolic Learning

We design a predictive layer for structured-output prediction (SOP) that...

0 Kareem Ahmed, et al. ∙

research

∙ 05/27/2022

Controllable Text Generation with Neurally-Decomposed Oracle

We propose a general and efficient framework to control auto-regressive ...

0 Tao Meng, et al. ∙

research

∙ 05/25/2022

DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation

Disinformation has become a serious problem on social media. In particul...

10 Jingnong Qu, et al. ∙

research

∙ 05/25/2022

A Simple and Unified Tagging Model with Priming for Relational Structure Predictions

Relational structure extraction covers a wide range of tasks and plays a...

0 I-Hung Hsu, et al. ∙

research

∙ 05/25/2022

GENEVA: Pushing the Limit of Generalizability for Event Argument Extraction with 100+ Event Types

Numerous events occur worldwide and are documented in the news, social m...

0 Tanmay Parekh, et al. ∙

research

∙ 05/24/2022

GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models

Recent work has shown that Pre-trained Language Models (PLMs) have the a...

0 Da Yin, et al. ∙

research

∙ 05/23/2022

On the Paradox of Learning to Reason from Data

Logical reasoning is needed in a wide range of NLP tasks. Can a BERT mod...

0 Honghua Zhang, et al. ∙

research

∙ 05/23/2022

Conditional Supervised Contrastive Learning for Fair Text Classification

Contrastive representation learning has gained much attention due to its...

0 Jianfeng Chi, et al. ∙

research

∙ 05/23/2022

Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages

Back-translation is widely known for its effectiveness for neural machin...

0 Wasi Uddin Ahmad, et al. ∙

research

∙ 04/22/2022

Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks

Cross-modal encoders for vision-language (VL) tasks are often pretrained...

3 Zhecan Wang, et al. ∙

research

∙ 04/19/2022

Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies

Prior studies in privacy policies frame the question answering (QA) task...

0 Md Rizwan Parvez, et al. ∙

research

∙ 03/31/2022

An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks

Speech representations learned from Self-supervised learning (SSL) model...

0 Kai-Wei Chang, et al. ∙

Kai-Wei Chang

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