b'Muhao Chen'

research

∙ 09/19/2023

Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer

Zero-shot cross-lingual transfer is a central task in multilingual NLP, ...

0 Fei Wang, et al. ∙

research

∙ 08/25/2023

Knowledge-Based Version Incompatibility Detection for Deep Learning

Version incompatibility issues are rampant when reusing or reproducing d...

0 Zhongkai Zhao, et al. ∙

research

∙ 08/21/2023

Software Entity Recognition with Noise-Robust Learning

Recognizing software entities such as library names from free-form text ...

0 Tai Nguyen, et al. ∙

research

∙ 08/07/2023

UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition

Large language models (LLMs) have demonstrated remarkable generalizabili...

0 Wenxuan Zhou, et al. ∙

research

∙ 06/07/2023

Contrastive Bootstrapping for Label Refinement

Traditional text classification typically categorizes texts into pre-def...

0 Shudi Hou, et al. ∙

research

∙ 05/28/2023

Robust Natural Language Understanding with Residual Attention Debiasing

Natural language understanding (NLU) models often suffer from unintended...

0 Fei Wang, et al. ∙

research

∙ 05/26/2023

Automated Summarization of Stack Overflow Posts

Software developers often resort to Stack Overflow (SO) to fill their pr...

0 Bonan Kou, et al. ∙

research

∙ 05/24/2023

Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality

Improving factual consistency of abstractive summarization has been a wi...

0 Tanay Dixit, et al. ∙

research

∙ 05/24/2023

Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning

Event temporal reasoning aims at identifying the temporal relations betw...

0 Tianqing Fang, et al. ∙

research

∙ 05/24/2023

Adversarial Demonstration Attacks on Large Language Models

With the emergence of more powerful large language models (LLMs), such a...

0 Jiongxiao Wang, et al. ∙

research

∙ 05/24/2023

From Shortcuts to Triggers: Backdoor Defense with Denoised PoE

Language models are often at risk of diverse backdoor attacks, especiall...

0 Qin Liu, et al. ∙

research

∙ 05/24/2023

Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Instruction-tuned models are trained on crowdsourcing datasets with task...

0 Jiashu Xu, et al. ∙

research

∙ 05/24/2023

A Causal View of Entity Bias in (Large) Language Models

Entity bias widely affects pretrained (large) language models, causing t...

0 Fei Wang, et al. ∙

research

∙ 05/24/2023

Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations

Traditional sentence embedding models encode sentences into vector repre...

0 James Y. Huang, et al. ∙

research

∙ 05/22/2023

EntRED: Benchmarking Relation Extraction with Fewer Shortcuts

Entity names play an effective role in relation extraction (RE) and ofte...

0 Yiwei Wang, et al. ∙

research

∙ 05/18/2023

Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation

Goal-oriented Script Generation is a new task of generating a list of st...

0 Xinze Li, et al. ∙

research

∙ 03/20/2023

Context-faithful Prompting for Large Language Models

Large language models (LLMs) encode parametric knowledge about world fac...

0 Wenxuan Zhou, et al. ∙

research

∙ 12/21/2022

Continual Contrastive Finetuning Improves Low-Resource Relation Extraction

Relation extraction (RE), which has relied on structurally annotated cor...

0 Wenxuan Zhou, et al. ∙

research

∙ 12/21/2022

Multi-hop Evidence Retrieval for Cross-document Relation Extraction

Relation Extraction (RE) has been extended to cross-document scenarios b...

0 Keming Lu, et al. ∙

research

∙ 12/21/2022

Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?

Two key obstacles in biomedical relation extraction (RE) are the scarcit...

0 Jiashu Xu, et al. ∙

research

∙ 11/03/2022

PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales

Neural language models (LMs) have achieved impressive results on various...

0 Peifeng Wang, et al. ∙

research

∙ 10/22/2022

Salience Allocation as Guidance for Abstractive Summarization

Abstractive summarization models typically learn to capture the salient ...

0 Fei Wang, et al. ∙

research

∙ 10/21/2022

SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation

Named geographic entities (geo-entities for short) are the building bloc...

0 Zekun Li, et al. ∙

research

∙ 10/10/2022

Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction

In this paper, we seek to improve the faithfulness of TempRel extraction...

0 Haoyu Wang, et al. ∙

research

∙ 10/10/2022

Parameter-Efficient Tuning with Special Token Adaptation

Parameter-efficient tuning aims at updating only a small subset of param...

0 Xiaoocong Yang, et al. ∙

research

∙ 10/08/2022

Are All Steps Equally Important? Benchmarking Essentiality Detection of Events

Natural language often describes events in different granularities, such...

0 Hongming Zhang, et al. ∙

research

∙ 09/15/2022

VIPHY: Probing "Visible" Physical Commonsense Knowledge

In recent years, vision-language models (VLMs) have shown remarkable per...

4 Shikhar Singh, et al. ∙

research

∙ 09/12/2022

Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces

Recently there is an increasing scholarly interest in time-varying knowl...

0 Jihoon Sohn, et al. ∙

research

∙ 06/18/2022

An extended ordinary state-based peridynamics for non-spherical horizons

This work presents an extended ordinary state-based peridynamics (XOSBPD...

0 Qibang Liu, et al. ∙

research

∙ 06/16/2022

PInKS: Preconditioned Commonsense Inference with Minimal Supervision

Reasoning with preconditions such as "glass can be used for drinking wat...

0 Ehsan Qasemi, et al. ∙

research

∙ 05/25/2022

Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing

The entity typing task aims at predicting one or more words or phrases t...

0 Nan Xu, et al. ∙

research

∙ 05/19/2022

Summarization as Indirect Supervision for Relation Extraction

Relation extraction (RE) models have been challenged by their reliance o...

0 Keming Lu, et al. ∙

research

∙ 05/08/2022

Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning

Controlled table-to-text generation seeks to generate natural language d...

0 Fei Wang, et al. ∙

research

∙ 05/08/2022

GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction

Entity types and textual context are essential properties for sentence-l...

0 Yiwei Wang, et al. ∙

research

∙ 05/08/2022

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis

Recent literature focuses on utilizing the entity information in the sen...

0 Yiwei Wang, et al. ∙

research

∙ 05/05/2022

Dangling-Aware Entity Alignment with Mixed High-Order Proximities

We study dangling-aware entity alignment in knowledge graphs (KGs), whic...

0 Juncheng Liu, et al. ∙

research

∙ 05/04/2022

Unified Semantic Typing with Meaningful Label Inference

Semantic typing aims at classifying tokens or spans of interest in a tex...

0 James Y. Huang, et al. ∙

research

∙ 04/29/2022

Answer Consolidation: Formulation and Benchmarking

Current question answering (QA) systems primarily consider the single-an...

0 Wenxuan Zhou, et al. ∙

research

∙ 02/12/2022

Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference

The task of ultra-fine entity typing (UFET) seeks to predict diverse and...

0 Bangzheng Li, et al. ∙

research

∙ 12/16/2021

δ-SAM: Sharpness-Aware Minimization with Dynamic Reweighting

Deep neural networks are often overparameterized and may not easily achi...

0 Wenxuan Zhou, et al. ∙

research

∙ 12/12/2021

Contextualized Scene Imagination for Generative Commonsense Reasoning

Humans use natural language to compose common concepts from their enviro...

1 Peifeng Wang, et al. ∙

research

∙ 12/01/2021

Structure-Aware Label Smoothing for Graph Neural Networks

Representing a label distribution as a one-hot vector is a common practi...

0 Yiwei Wang, et al. ∙

research

∙ 09/22/2021

HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning

Taxonomies are valuable resources for many applications, but the limited...

0 Mingyu Derek Ma, et al. ∙

research

∙ 09/22/2021

Salience-Aware Event Chain Modeling for Narrative Understanding

Storytelling, whether via fables, news reports, documentaries, or memoir...

14 Xiyang Zhang, et al. ∙

research

∙ 09/13/2021

Learning Constraints and Descriptive Segmentation for Subevent Detection

Event mentions in text correspond to real-world events of varying degree...

0 Haoyu Wang, et al. ∙

research

∙ 09/09/2021

Table-based Fact Verification with Salience-aware Learning

Tables provide valuable knowledge that can be used to verify textual sta...

0 Fei Wang, et al. ∙

research

∙ 06/22/2021

Do Language Models Perform Generalizable Commonsense Inference?

Inspired by evidence that pretrained language models (LMs) encode common...

16 Peifeng Wang, et al. ∙

research

∙ 06/09/2021

DREAMS: Drilling and Extraction Automated System

Drilling and Extraction Automated System (DREAMS) is a fully automated p...

0 Mohamed Khaled, et al. ∙

research

∙ 06/03/2021

Tensegrity system dynamics based on finite element method

This study presents a finite element analysis approach to non-linear and...

0 Shuo Ma, et al. ∙

research

∙ 05/04/2021

Retrieving Complex Tables with Multi-Granular Graph Representation Learning

The task of natural language table retrieval (NLTR) seeks to retrieve se...

0 Fei Wang, et al. ∙

Muhao Chen

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