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08/12/2023
Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation
Graph-based diffusion models have shown promising results in terms of ge...
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05/11/2023
Active Retrieval Augmented Generation
Despite the remarkable ability of large language models (LMs) to compreh...
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05/04/2023
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Recent AI-assistant agents, such as ChatGPT, predominantly rely on super...
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02/16/2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Neural network-based Combinatorial Optimization (CO) methods have shown ...
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02/16/2023
A Neural PDE Solver with Temporal Stencil Modeling
Numerical simulation of non-linear partial differential equations plays ...
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10/08/2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Recently, deep reinforcement learning (DRL) models have shown promising ...
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10/04/2022
Recitation-Augmented Language Models
We propose a new paradigm to help Large Language Models (LLMs) generate ...
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02/02/2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
PromptSource is a system for creating, sharing, and using natural langua...
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11/21/2020
Rethinking Transformer-based Set Prediction for Object Detection
DETR is a recently proposed Transformer-based method which views object ...
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06/29/2020
An EM Approach to Non-autoregressive Conditional Sequence Generation
Autoregressive (AR) models have been the dominating approach to conditio...
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04/06/2020
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
Natural Language Processing (NLP) has recently achieved great success by...
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11/10/2019
A Re-evaluation of Knowledge Graph Completion Methods
Knowledge Graph Completion (KGC) aims at automatically predicting missin...
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10/25/2019
Fast Structured Decoding for Sequence Models
Autoregressive sequence models achieve state-of-the-art performance in d...
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09/25/2019
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning
We propose Dynamically Pruned Message Passing Networks (DPMPN) for large...
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06/06/2019
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View
The Transformer architecture is widely used in natural language processi...
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05/30/2019
Neural Consciousness Flow
The ability of reasoning beyond data fitting is substantial to deep lear...
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05/19/2019
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Keyphrase extraction from documents is useful to a variety of applicatio...
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02/26/2019
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
We study the problem of learning representations of entities and relatio...
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10/07/2018
Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling
Previous traditional approaches to unsupervised Chinese word segmentatio...
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12/27/2017