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05/30/2023
The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code
Causal reasoning, the ability to identify cause-and-effect relationship,...
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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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03/27/2023
KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems
Despite the significant advancements in keyphrase extraction and keyphra...
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01/05/2023
GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods
A key goal for the advancement of AI is to develop technologies that ser...
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10/27/2022
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
Text-to-image generative models have achieved unprecedented success in g...
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05/24/2022
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models
Recent work has shown that Pre-trained Language Models (PLMs) have the a...
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03/15/2022
Things not Written in Text: Exploring Spatial Commonsense from Visual Signals
Spatial commonsense, the knowledge about spatial position and relationsh...
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02/17/2022
A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models
With the increasing of model capacity brought by pre-trained language mo...
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11/08/2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Adversarial attacks on graphs have posed a major threat to the robustnes...
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09/14/2021
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning
Commonsense is defined as the knowledge that is shared by everyone. Howe...
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05/26/2021
CogView: Mastering Text-to-Image Generation via Transformers
Text-to-Image generation in the general domain has long been an open pro...
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04/19/2021
Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis
Causal inference is the process of capturing cause-effect relationship a...
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03/19/2021
Controllable Generation from Pre-trained Language Models via Inverse Prompting
Large-scale pre-trained language models have demonstrated strong capabil...
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03/03/2021
OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Model
To enrich language models with domain knowledge is crucial but difficult...
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05/08/2020
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics
We propose SentiBERT, a variant of BERT that effectively captures compos...
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08/09/2019