b'Tianyu Liu'

research

∙ 09/05/2023

Making Large Language Models Better Reasoners with Alignment

Reasoning is a cognitive process of using evidence to reach a sound conc...

0 Peiyi Wang, et al. ∙

research

∙ 08/09/2023

Induction Network: Audio-Visual Modality Gap-Bridging for Self-Supervised Sound Source Localization

Self-supervised sound source localization is usually challenged by the m...

0 Tianyu Liu, et al. ∙

research

∙ 07/27/2023

MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving

Nowadays, autonomous cars can drive smoothly in ordinary cases, and it i...

0 Zirui Wu, et al. ∙

research

∙ 07/27/2023

A Geometric Notion of Causal Probing

Large language models rely on real-valued representations of text to mak...

0 Clément Guerner, et al. ∙

research

∙ 07/26/2023

Car-Studio: Learning Car Radiance Fields from Single-View and Endless In-the-wild Images

Compositional neural scene graph studies have shown that radiance fields...

0 Tianyu Liu, et al. ∙

research

∙ 06/08/2023

Hexatagging: Projective Dependency Parsing as Tagging

We introduce a novel dependency parser, the hexatagger, that constructs ...

0 Afra Amini, et al. ∙

research

∙ 05/29/2023

Large Language Models are not Fair Evaluators

We uncover a systematic bias in the evaluation paradigm of adopting larg...

0 Peiyi Wang, et al. ∙

research

∙ 05/24/2023

Learning the String Partial Order

We show that most structured prediction problems can be solved in linear...

0 Tianyu Liu, et al. ∙

research

∙ 05/24/2023

Bi-Drop: Generalizable Fine-tuning for Pre-trained Language Models via Adaptive Subnetwork Optimization

Pretrained language models have achieved remarkable success in a variety...

0 Shoujie Tong, et al. ∙

research

∙ 05/24/2023

DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade

In the constant updates of the product dialogue systems, we need to retr...

0 Zefan Cai, et al. ∙

research

∙ 05/24/2023

Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion

Video multimodal fusion aims to integrate multimodal signals in videos, ...

0 Shaoxaing Wu, et al. ∙

research

∙ 05/18/2023

Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus

Several recent papers claim human parity at sentence-level Machine Trans...

0 Yuchen Eleanor Jiang, et al. ∙

research

∙ 05/12/2023

RepCL: Exploring Effective Representation for Continual Text Classification

Continual learning (CL) aims to constantly learn new knowledge over time...

0 Yifan Song, et al. ∙

research

∙ 05/08/2023

Enhancing Continual Relation Extraction via Classifier Decomposition

Continual relation extraction (CRE) models aim at handling emerging new ...

0 Heming Xia, et al. ∙

research

∙ 04/02/2023

Tensor Recovery in High-Dimensional Ising Models

The k-tensor Ising model is an exponential family on a p-dimensional bin...

0 Tianyu Liu, et al. ∙

research

∙ 03/05/2023

Tight Collision Probability for UAV Motion Planning in Uncertain Environment

Operating unmanned aerial vehicles (UAVs) in complex environments that f...

0 Tianyu Liu, et al. ∙

research

∙ 02/22/2023

Approximability of the Four-Vertex Model

We study the approximability of the four-vertex model, a special case of...

0 Zhiguo Fu, et al. ∙

research

∙ 12/14/2022

DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog

Harvesting question-answer (QA) pairs from customer service chatlog in t...

0 Xin Zheng, et al. ∙

research

∙ 10/26/2022

Autoregressive Structured Prediction with Language Models

Recent years have seen a paradigm shift in NLP towards using pretrained ...

0 Tianyu Liu, et al. ∙

research

∙ 10/26/2022

A Bilingual Parallel Corpus with Discourse Annotations

Machine translation (MT) has almost achieved human parity at sentence-le...

0 Yuchen Eleanor Jiang, et al. ∙

research

∙ 10/20/2022

DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection

While interacting with chatbots, users may elicit multiple intents in a ...

0 Haoran Meng, et al. ∙

research

∙ 10/16/2022

Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making

As a powerful Bayesian non-parameterized algorithm, the Gaussian process...

5 Tianyu Liu, et al. ∙

research

∙ 10/10/2022

Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation

Continual relation extraction (CRE) aims to continually learn new relati...

0 Peiyi Wang, et al. ∙

research

∙ 09/01/2022

Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach

Continual relation extraction (CRE) requires the model to continually le...

0 Peiyi Wang, et al. ∙

research

∙ 06/10/2022

On the Complexity of Sampling Redistricting Plans

A crucial task in the political redistricting problem is to sample redis...

0 Moses Charikar, et al. ∙

research

∙ 05/08/2022

A Structured Span Selector

Many natural language processing tasks, e.g., coreference resolution and...

0 Tianyu Liu, et al. ∙

research

∙ 05/02/2022

Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances

Fine-tuning pretrained language models (PLMs) on downstream tasks has be...

0 Shoujie Tong, et al. ∙

research

∙ 04/30/2022

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction

Most previous studies aim at extracting events from a single sentence, w...

0 Runxin Xu, et al. ∙

research

∙ 04/28/2022

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification

Hierarchical text classification (HTC) is a challenging subtask of multi...

7 Zihan Wang, et al. ∙

research

∙ 04/19/2022

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs

As Abstract Meaning Representation (AMR) implicitly involves compound se...

0 Liang Chen, et al. ∙

research

∙ 04/19/2022

SmartSales: Sales Script Extraction and Analysis from Sales Chatlog

In modern sales applications, automatic script extraction and management...

0 Hua Liang, et al. ∙

research

∙ 04/09/2022

Star-Convex Constrained Optimization for Visibility Planning with Application to Aerial Inspection

The visible capability is critical in many robot applications, such as i...

0 Tianyu Liu, et al. ∙

research

∙ 02/04/2022

Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning

PAC-Bayesian is an analysis framework where the training error can be ex...

7 Wei Huang, et al. ∙

research

∙ 11/24/2021

Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing

Multi-task indoor scene understanding is widely considered as an intrigu...

2 Xiaoxue Chen, et al. ∙

research

∙ 10/15/2021

Hierarchical Curriculum Learning for AMR Parsing

Abstract Meaning Representation (AMR) parsing translates sentences to th...

0 Peiyi Wang, et al. ∙

research

∙ 09/27/2021

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling

Few-Shot Sequence Labeling (FSSL) is a canonical solution for the taggin...

0 Peiyi Wang, et al. ∙

research

∙ 08/29/2021

Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification

Few-Shot Event Classification (FSEC) aims at developing a model for even...

0 Peiyi Wang, et al. ∙

research

∙ 08/20/2021

Identifying Aggregation Artery Architecture of constrained Origin-Destination flows using Manhattan L-function

The movement of humans and goods in cities can be represented by constra...

0 Zidong Fang, et al. ∙

research

∙ 06/21/2021

Explicit Interaction Network for Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction (ASTE) aims to recognize targets, th...

0 Peiyi Wang, et al. ∙

research

∙ 05/31/2021

Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker

Document-level event extraction aims to recognize event information from...

0 Runxin Xu, et al. ∙

research

∙ 05/15/2021

Premise-based Multimodal Reasoning: A Human-like Cognitive Process

Reasoning is one of the major challenges of Human-like AI and has recent...

0 Qingxiu Dong, et al. ∙

research

∙ 05/07/2021

Apply Artificial Neural Network to Solving Manpower Scheduling Problem

The manpower scheduling problem is a kind of critical combinational opti...

0 Tianyu Liu, et al. ∙

research

∙ 05/07/2021

An Intelligent Model for Solving Manpower Scheduling Problems

The manpower scheduling problem is a critical research field in the reso...

0 Lingyu Zhang, et al. ∙

research

∙ 05/04/2021

Automatic Learning to Detect Concept Drift

Many methods have been proposed to detect concept drift, i.e., the chang...

6 Hang Yu, et al. ∙

research

∙ 04/18/2021

A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation

Large pretrained generative models like GPT-3 often suffer from hallucin...

0 Tianyu Liu, et al. ∙

research

∙ 03/09/2021

Integrating Fast Regional Optimization into Sampling-based Kinodynamic Planning for Multirotor Flight

For real-time multirotor kinodynamic motion planning, the efficiency of ...

0 Hongkai Ye, et al. ∙

research

∙ 02/17/2021

Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View

In open domain table-to-text generation, we notice that the unfaithful g...

0 Tianyu Liu, et al. ∙

research

∙ 02/17/2021

First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction (ASTE) aims to extract triplets from...

0 Lianzhe Huang, et al. ∙

research

∙ 02/07/2021

PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior

By leveraging experience from previous tasks, meta-learning algorithms c...

5 Tianyu Liu, et al. ∙

research

∙ 10/31/2020

Visual Companion for Booklovers

An innumerable number of individual choices go into discovering a new bo...

0 Zona Kostic, et al. ∙

Tianyu Liu

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