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09/05/2023
Making Large Language Models Better Reasoners with Alignment
Reasoning is a cognitive process of using evidence to reach a sound conc...
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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...
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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...
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07/27/2023
A Geometric Notion of Causal Probing
Large language models rely on real-valued representations of text to mak...
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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...
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06/08/2023
Hexatagging: Projective Dependency Parsing as Tagging
We introduce a novel dependency parser, the hexatagger, that constructs ...
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05/29/2023
Large Language Models are not Fair Evaluators
We uncover a systematic bias in the evaluation paradigm of adopting larg...
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05/24/2023
Learning the String Partial Order
We show that most structured prediction problems can be solved in linear...
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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...
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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...
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05/24/2023
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion
Video multimodal fusion aims to integrate multimodal signals in videos, ...
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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...
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05/12/2023
RepCL: Exploring Effective Representation for Continual Text Classification
Continual learning (CL) aims to constantly learn new knowledge over time...
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05/08/2023
Enhancing Continual Relation Extraction via Classifier Decomposition
Continual relation extraction (CRE) models aim at handling emerging new ...
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04/02/2023
Tensor Recovery in High-Dimensional Ising Models
The k-tensor Ising model is an exponential family on a p-dimensional bin...
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03/05/2023
Tight Collision Probability for UAV Motion Planning in Uncertain Environment
Operating unmanned aerial vehicles (UAVs) in complex environments that f...
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02/22/2023
Approximability of the Four-Vertex Model
We study the approximability of the four-vertex model, a special case of...
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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...
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10/26/2022
Autoregressive Structured Prediction with Language Models
Recent years have seen a paradigm shift in NLP towards using pretrained ...
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10/26/2022
A Bilingual Parallel Corpus with Discourse Annotations
Machine translation (MT) has almost achieved human parity at sentence-le...
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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 ...
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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...
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10/10/2022
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
Continual relation extraction (CRE) aims to continually learn new relati...
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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...
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06/10/2022
On the Complexity of Sampling Redistricting Plans
A crucial task in the political redistricting problem is to sample redis...
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05/08/2022
A Structured Span Selector
Many natural language processing tasks, e.g., coreference resolution and...
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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...
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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...
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04/28/2022
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification
Hierarchical text classification (HTC) is a challenging subtask of multi...
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04/19/2022
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
As Abstract Meaning Representation (AMR) implicitly involves compound se...
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04/19/2022
SmartSales: Sales Script Extraction and Analysis from Sales Chatlog
In modern sales applications, automatic script extraction and management...
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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...
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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...
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11/24/2021
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing
Multi-task indoor scene understanding is widely considered as an intrigu...
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10/15/2021
Hierarchical Curriculum Learning for AMR Parsing
Abstract Meaning Representation (AMR) parsing translates sentences to th...
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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...
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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...
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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...
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06/21/2021
Explicit Interaction Network for Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) aims to recognize targets, th...
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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...
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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...
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05/07/2021
Apply Artificial Neural Network to Solving Manpower Scheduling Problem
The manpower scheduling problem is a kind of critical combinational opti...
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05/07/2021
An Intelligent Model for Solving Manpower Scheduling Problems
The manpower scheduling problem is a critical research field in the reso...
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05/04/2021
Automatic Learning to Detect Concept Drift
Many methods have been proposed to detect concept drift, i.e., the chang...
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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...
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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 ...
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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...
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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...
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02/07/2021
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior
By leveraging experience from previous tasks, meta-learning algorithms c...
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10/31/2020