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07/07/2023
Exploring and Characterizing Large Language Models For Embedded System Development and Debugging
Large language models (LLMs) have shown remarkable abilities to generate...
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05/23/2023
Pre-training Language Models for Comparative Reasoning
In this paper, we propose a novel framework to pre-train language models...
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05/23/2023
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions
Contrast consistency, the ability of a model to make consistently correc...
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05/23/2023
Improving Language Models via Plug-and-Play Retrieval Feedback
Large language models (LLMs) exhibit remarkable performance across vario...
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05/16/2023
Large Language Models are Built-in Autoregressive Search Engines
Document retrieval is a key stage of standard Web search engines. Existi...
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05/09/2023
StarCoder: may the source be with you!
The BigCode community, an open-scientific collaboration working on the r...
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10/23/2022
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
A common thread of retrieval-augmented methods in the existing literatur...
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10/07/2022
A Unified Encoder-Decoder Framework with Entity Memory
Entities, as important carriers of real-world knowledge, play a key role...
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07/09/2022
On the Relationship Between Counterfactual Explainer and Recommender
Recommender systems employ machine learning models to learn from histori...
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04/07/2022
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods
Multi-task learning (MTL) has become increasingly popular in natural lan...
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03/14/2022
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
Generative commonsense reasoning (GCR) in natural language is to reason ...
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09/28/2020
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training
We focus on the task of procedural text understanding, which aims to tra...
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09/01/2020
SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization
We present a novel framework, Spatial Pyramid Attention Network (SPAN) f...
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07/25/2020
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs
Most graph neural network models learn embeddings of nodes in static att...
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11/07/2019
