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09/17/2023
GAMMA: Revisiting Template-based Automated Program Repair via Mask Prediction
Automated program repair (APR) aims to fix software bugs without human i...
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08/24/2023
Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We?
Various approaches are proposed to help under-resourced security researc...
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08/10/2023
A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment
Training large language models (LLMs) with open-domain instruction data ...
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08/03/2023
Wider and Deeper LLM Networks are Fairer LLM Evaluators
Measuring the quality of responses generated by LLMs is a challenging ta...
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07/12/2023
PolyLM: An Open Source Polyglot Large Language Model
Large language models (LLMs) demonstrate remarkable ability to comprehen...
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06/30/2023
Preference Ranking Optimization for Human Alignment
Large language models (LLMs) often contain misleading content, emphasizi...
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06/29/2023
Unified Language Representation for Question Answering over Text, Tables, and Images
When trying to answer complex questions, people often rely on multiple s...
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05/18/2023
Causal Document-Grounded Dialogue Pre-training
The goal of document-grounded dialogue (DocGD) is to generate a response...
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05/11/2023
Domain Incremental Lifelong Learning in an Open World
Lifelong learning (LL) is an important ability for NLP models to learn n...
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04/20/2023
ID-MixGCL: Identity Mixup for Graph Contrastive Learning
Recently developed graph contrastive learning (GCL) approaches compare t...
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04/14/2023
API-Bank: A Benchmark for Tool-Augmented LLMs
Recent research has shown that Large Language Models (LLMs) can utilize ...
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11/29/2022
Towards Generalized Open Information Extraction
Open Information Extraction (OpenIE) facilitates the open-domain discove...
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11/23/2022
Semi-Supervised Lifelong Language Learning
Lifelong learning aims to accumulate knowledge and alleviate catastrophi...
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10/14/2022
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
Lifelong learning (LL) is vital for advanced task-oriented dialogue (ToD...
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07/14/2022
Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration
Building document-grounded dialogue systems have received growing intere...
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05/24/2022
A Survey on Neural Open Information Extraction: Current Status and Future Directions
Open Information Extraction (OpenIE) facilitates domain-independent disc...
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04/28/2022
Programming Matrices as Staged Sparse Rows to Generate Efficient Matrix-free Differential Equation Solver
Solving differential equations is a critical task in scientific computin...
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04/20/2022
Profiling and Evolution of Intellectual Property
In recent years, with the rapid growth of Internet data, the number and ...
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03/21/2022
Web Page Content Extraction Based on Multi-feature Fusion
With the rapid development of Internet technology, people have more and ...
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02/07/2022
Document-Level Event Extraction via Human-Like Reading Process
Document-level Event Extraction (DEE) is particularly tricky due to the ...
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10/09/2021
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning
Distantly supervised named entity recognition (DS-NER) efficiently reduc...
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07/04/2021
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction
Event extraction (EE) is a crucial information extraction task that aims...
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06/01/2021
Discontinuous Named Entity Recognition as Maximal Clique Discovery
Named entity recognition (NER) remains challenging when entity mentions ...
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12/04/2020
Few-Shot Event Detection with Prototypical Amortized Conditional Random Field
Event Detection, a fundamental task of Information Extraction, tends to ...
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12/03/2020
Label Enhanced Event Detection with Heterogeneous Graph Attention Networks
Event Detection (ED) aims to recognize instances of specified types of e...
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10/26/2020
TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking
Extracting entities and relations from unstructured text has attracted i...
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10/16/2020
Coarse-to-Fine Pre-training for Named Entity Recognition
More recently, Named Entity Recognition hasachieved great advances aided...
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06/23/2020
Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering
Few-shot classification tends to struggle when it needs to adapt to dive...
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02/25/2020
Event Detection with Relation-Aware Graph Convolutional Neural Networks
Event detection (ED), a key subtask of information extraction, aims to r...
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01/14/2020
Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems
On Wikipedia, sophisticated algorithmic tools are used to assess the qua...
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11/07/2019
Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention
Most Chinese pre-trained encoders take a character as a basic unit and l...
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10/07/2019
Designing Interfaces to Help Stakeholders Comprehend, Navigate, and Manage Algorithmic Trade-Offs
Artificial intelligence algorithms have been applied to a wide variety o...
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09/10/2019
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy
Joint extraction of entities and relations aims to detect entity pairs a...
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08/02/2019
FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System
Dataflow visualization systems enable flexible visual data exploration b...
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07/05/2019
Visus: An Interactive System for Automatic Machine Learning Model Building and Curation
While the demand for machine learning (ML) applications is booming, ther...
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03/24/2017