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09/01/2023
Towards a "Swiss Army Knife" for Scalable User-Defined Temporal (k,𝒳)-Core Analysis
Querying cohesive subgraphs on temporal graphs (e.g., social network, fi...
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07/19/2023
Towards Saner Deep Image Registration
With recent advances in computing hardware and surges of deep-learning a...
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07/08/2023
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation
Most existing cross-lingual summarization (CLS) work constructs CLS corp...
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07/04/2023
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision
Structured chemical reaction information plays a vital role for chemists...
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06/11/2023
Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing
Emotion recognition in conversation, which aims to predict the emotion f...
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05/23/2023
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation
Instruction tuning has emerged to enhance the capabilities of large lang...
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01/10/2023
Scalable Time-Range k-Core Query on Temporal Graphs(Full Version)
Querying cohesive subgraphs on temporal graphs with various time constra...
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11/03/2022
Open-Vocabulary Argument Role Prediction for Event Extraction
The argument role in event extraction refers to the relation between an ...
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09/29/2022
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization
Traditional training paradigms for extractive and abstractive summarizat...
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08/04/2022
Learning Interaction Variables and Kernels from Observations of Agent-Based Systems
Dynamical systems across many disciplines are modeled as interacting par...
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07/13/2022
Grassmanian packings: Trust region stochastic tuning for matrix incoherence
We provide a new numerical procedure for constructing low coherence matr...
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05/12/2022
CiteSum: Citation Text-guided Scientific Extreme Summarization and Low-resource Domain Adaptation
Scientific extreme summarization (TLDR) aims to form ultra-short summari...
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05/01/2022
The Cross-lingual Conversation Summarization Challenge
We propose the shared task of cross-lingual conversation summarization, ...
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09/16/2021
RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization
Existing summarization systems mostly generate summaries purely relying ...
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08/26/2021
Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides
Building accurate and predictive models of the underlying mechanisms of ...
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06/18/2021
GEM: A General Evaluation Benchmark for Multimodal Tasks
In this paper, we present GEM as a General Evaluation benchmark for Mult...
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05/29/2021
Examiner: Automatically Locating Inconsistent Instructions Between Real Devices and CPU Emulators for ARM
Emulator is widely used to build dynamic analysis frameworks due to its ...
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04/23/2021
Becoming Good at AI for Good
AI for good (AI4G) projects involve developing and applying artificial i...
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04/18/2021
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
Video-text retrieval plays an essential role in multi-modal research and...
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04/07/2021
Enhancing Scientific Papers Summarization with Citation Graph
Previous work for text summarization in scientific domain mainly focused...
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03/29/2021
Dynamic Network Embedding Survey
Since many real world networks are evolving over time, such as social ne...
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01/30/2021
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
Interacting agent and particle systems are extensively used to model com...
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10/11/2020
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems
Neural network-based models augmented with unsupervised pre-trained know...
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10/08/2020
Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems
Modeling the complex interactions of systems of particles or agents is a...
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04/19/2020
Extractive Summarization as Text Matching
This paper creates a paradigm shift with regard to the way we build neur...
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04/09/2020
Sparse recovery of noisy data using the Lasso method
We present a detailed analysis of the unconstrained ℓ_1-method Lasso met...
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04/09/2020
Sparse recovery of noisy data and Grothendieck inequality
We present a detailed analysis of the unconstrained ℓ_1-method LASSO for...
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12/23/2019
Data-driven Discovery of Emergent Behaviors in Collective Dynamics
Particle- and agent-based systems are a ubiquitous modeling tool in many...
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09/30/2019
A Closer Look at Data Bias in Neural Extractive Summarization Models
In this paper, we take stock of the current state of summarization datas...
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09/28/2019
GDP: Generalized Device Placement for Dataflow Graphs
Runtime and scalability of large neural networks can be significantly af...
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08/30/2019
Exploring Domain Shift in Extractive Text Summarization
Although domain shift has been well explored in many NLP applications, i...
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07/08/2019
Searching for Effective Neural Extractive Summarization: What Works and What's Next
The recent years have seen remarkable success in the use of deep neural ...
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12/14/2018
Nonparametric inference of interaction laws in systems of agents from trajectory data
Inferring the laws of interaction between particles and agents in comple...
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02/01/2015