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07/31/2023
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Despite the advancements of open-source large language models (LLMs) and...
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07/29/2023
Towards Codable Text Watermarking for Large Language Models
As large language models (LLMs) generate texts with increasing fluency a...
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01/25/2023
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning
Federated Learning has become a widely-used framework which allows learn...
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11/12/2021
On Transferability of Prompt Tuning for Natural Language Understanding
Prompt tuning (PT) is a promising parameter-efficient method to utilize ...
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10/05/2021
MoEfication: Conditional Computation of Transformer Models for Efficient Inference
Transformer-based pre-trained language models can achieve superior perfo...
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09/13/2021
Pack Together: Entity and Relation Extraction with Levitated Marker
Named Entity Recognition (NER) and Relation Extraction (RE) are the core...
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05/28/2021
Knowledge Inheritance for Pre-trained Language Models
Recent explorations of large-scale pre-trained language models (PLMs) su...
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04/15/2020
Coreferential Reasoning Learning for Language Representation
Language representation models such as BERT could effectively capture co...
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09/07/2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Graph Neural Networks (GNNs) have achieved promising performance on a wi...
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12/28/2018
